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U.S. Treasury Central Clearing Survey: Broad Industry Readiness for Cash Clearing, Industry Moving Towards Execution but Work Remains Ahead of Repo Deadline

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NEW YORK, Sept. 22, 2026 /PRNewswire/ — SIFMA, BNY, Broadridge, and The Depository Trust & Clearing Corporation (DTCC), in collaboration with The ValueExchange, today released key findings from the “U.S. Treasury Central Clearing Pulse Survey,” which draws upon key insights and feedback from 340 experts worldwide. The survey, conducted in June 2026 by The ValueExchange, was designed to provide insight into industry preparedness for the December 31, 2026 cash implementation deadline and the June 30, 2027 deadline for eligible Treasury repo transactions.

The survey suggests the industry is positioned well for the cash implementation but there remains considerable work to do as the industry prepares for the repo deadline. Survey respondents include buy-side (45%) and sell-side (46%) firms, custodians and CCAs in the U.S., Europe, and Asia.  A similar survey was conducted in 2025.

The main findings capture an industry moving firmly from preparation into execution, while also highlighting where readiness, cost and implementation challenges remain:

86% of respondents are at least somewhat confident of meeting the overall mandate.Within that 86%, 44% of firms are “very confident” of meeting the deadline, with 13% “not confident” for cash and 16% for repo.87% of buy-side firms and 84% of sell-side firms are in execution mode for repo trades.More than half of respondents now have funded repo-clearing projects underway (up from 38% in 2025).Of those programs that are delayed, 88% cite legal/contract negotiation as the cause, and 44% now call contract negotiation “very challenging.”45% of firms say they still need more regulatory clarity to progress their readiness.67% of respondents are seeing delays caused by technology integration issues.50% expect ongoing costs to rise.

“The survey shows broad industry readiness for the cash go-live date in December, while also demonstrating that significant hurdles remain for us to navigate between now and the June repo deadline,” said Steve Byron, Managing Director and Head of Technology, Operations, and Business Continuity at SIFMA. “As firms move into the final stretch before the cash implementation deadline, the operational and documentation work underway across the industry is substantial, and getting it right matters given the central role U.S. Treasuries play in the global financial system. SIFMA remains committed to supporting our members through this transition, including through the standardized documentation and implementation guides we’ve made available to market participants. With the December 31 deadline now just months away, we look forward to continuing to work alongside the industry to ensure a smooth and successful transition in this critical market.”

U.S. Treasury Clearing is still a North American topic, with lower levels of preparations overseas, according to survey responses:

While North America respondents have moved furthest into delivery, 53% of respondents from Europe remain concentrated in scoping and 20% are engaged in no activity.In Asia-Pacific, 51% have not undertaken any activity, and 25% are still scoping.

The costs of mandatory clearing are still being estimated:

Ongoing costs are substantially less understood than implementation spend. Firms are still working to fully understand the economics of the operating model they are building.

57% of respondents still have not quantified the ongoing cost impact of mandatory clearing.24% have identified an expected cost increase, while 19% expect no change or a reduction in costs.Margin costs are expected to rise 37% on average.64% expect their one-off implementation costs to remain below $5 million.Among firms planning to use FICC’s Collateral in Lieu (CIL), 96% expect it to make central clearing cheaper. 71% of buy side firms plan to use CIL before the repo clearing deadline.

“The industry has made real progress toward central clearing, with firms gaining a clearer understanding of what compliance requires and how to compete and grow in a more complex Treasury market structure,” said Nate Wuerffel, Head of Market Structure and Head of Product for the Global Collateral Platform at BNY. “As the deadlines approach, firms need to stay focused and keep implementation moving. Clearing readiness is not just about meeting the SEC mandate –-it is essential to maintaining access to the U.S. Treasury market, the deepest and most liquid government bond market in the world.”

Model choice is about operations and cost:

The main driver of clearing model choice is operational capability for a third of respondents, while margin requirements have fallen sharply in importance and cost considerations have increased.

67% of buy side firms plan to use FICC’s Sponsored models, but the majority are using multiple models.74% of sell side firms will use direct clearing.

“FICC has remained committed to helping firms prepare for the impacts of the U.S. Treasury clearing mandate for several years, providing new access models, insightful calculator tools, and on-going education to promote readiness. We are pleased to see that many firms are progressing towards readiness but recognize that more work remains, especially as it relates to the repo implementation,” said Laura Klimpel, Managing Director, Head of DTCC’s Fixed Income and Financing Solutions. “With much of the industry coalescing around FICC’s offerings in the lead-up to the cash and repo deadlines, our focus remains on working closely with our clients to address open items and to ensure a smooth transition to central clearing.”

Clarity remains a key barrier to readiness:

The findings also highlight the need for further regulatory clarity and system changes to support mandatory clearing:

72% of firms need more clarity on key rules to be ready.Firms finding regulatory clarity very challenging have risen from 29% to 45%.Technology builds are causing delays for 74% of sell-side firms. 88% of delayed buy-side programs cite legal and account documentation, making this their dominant constraint.

Deadlines approach:

Q4 is a critical window for project delivery.

Up to 59% of project activity will complete after the cash deadline.51% of firms have no formal contingency plan for missed readiness.

“The survey shows the industry is moving in the right direction, but the next phase will be defined by disciplined execution,” said Ami Vora, Vice President, Product Management, Broadridge.  “Organizations should prioritize technology readiness, operational resiliency, testing and clear fallback plans including stronger contingency planning.  Taking these steps now will be critical to supporting a smooth transition to mandatory U.S. Treasury central clearing.”

Survey results are available at the following link: https://www.sifma.org/research/white-papers/us-treasury-central-clearing-pulse-survey

About the Report 
The U.S. Treasury Central Clearing pulse survey, led by SIFMA, BNY, Broadridge and DTCC was conducted in June 2026 by The ValueExchange. It captures data from 340 industry experts across the buy-side, sell-side and market infrastructure communities. 

About SIFMA
SIFMA is the leading trade association for broker-dealers, investment banks and asset managers operating in the U.S. and global capital markets. On behalf of our industry’s one million employees, we advocate on legislation, regulation and business policy affecting retail and institutional investors, equity and fixed income markets and related products and services. We serve as an industry coordinating body to promote fair and orderly markets, informed regulatory compliance, and efficient market operations and resiliency. We also provide a forum for industry policy and professional development.  SIFMA, with offices in New York and Washington, D.C., is the U.S. regional member of the Global Financial Markets Association (GFMA).

About BNY
BNY is a global financial services platforms company at the heart of the world’s capital markets. For more than 240 years BNY has partnered alongside clients, using its expertise and platforms to help them operate more efficiently and accelerate growth. Today BNY serves over 90% of Fortune 100 companies and nearly all the top 100 banks globally. BNY supports governments in funding local projects and works with over 90% of the top 100 pension plans to safeguard investments for millions of individuals. As of June 30, 2026, BNY oversees $62.6 trillion in assets under custody and/or administration and $2.2 trillion in assets under management.

BNY is the corporate brand of The Bank of New York Mellon Corporation (NYSE: BNY). Headquartered in New York City, BNY has been named among Fortune’s World’s Most Admired Companies and Fast Company’s Best Workplaces for Innovators. Additional information is available on www.bny.com. Follow on LinkedIn or visit the BNY Newsroom for the latest company news.

About Broadridge
Broadridge (NYSE: BR) is a global technology leader with trusted expertise and transformative technology, helping clients and the financial services industry operate, innovate, and grow. We power investing, governance, and communications for our clients – driving operational resiliency, elevating business performance, and transforming investor experiences.

Our technology and operations platforms process and generate over 8 billion communications annually and underpin the daily average trading of over $18 trillion in tokenized and traditional securities globally. A certified Great Place to Work®, Broadridge is part of the S&P 500® Index, employing approximately 16,000 associates in 28 countries.

For more information about us, please visit www.broadridge.com.

About DTCC
With over 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 19 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency, enhancing performance and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm innovates purposefully, simplifying the complexities of clearing, settlement, asset servicing, transaction processing, trade reporting and data services across asset classes, bringing enhanced resilience and soundness to existing financial markets while advancing the digital asset ecosystem. In 2025, DTCC’s subsidiaries processed securities transactions valued at U.S. $4.7 quadrillion and its depository subsidiary provided custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $114 trillion. DTCC’s Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 25 billion messages annually. To learn more, please visit us at www.dtcc.com or connect with us on LinkedIn, X, YouTube, Facebook and Instagram.

About The ValueExchange
The ValueExchange is a global market research firm, specialised in the post-trade space. Founded in 2019, we focus on the areas of digital assets and DLT, settlement transformation, clearing and collateral, asset servicing, and investment management operations. We help the capital markets make better strategic decisions, through impartial and data-driven insights, backed by unique industry experience and engagement. For more information, please visit us at www.thevalueexchange.co

Media contacts:
SIFMA:  Katrina Cavalli, kcavalli@sifma.org
BNY:  Meghan Carbone, meghan.carbone@bny.com  
Broadridge: Gregg Rosenberg, Gregg.Rosenberg@broadridge.com  
DTCC:  Kristi Morrow, kmorrow@dtcc.com
The ValueExchange: Mark Brannigan, mark.brannigan@thevalueexchange.co 

 

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Realset AI and Flatkey Raise $10M Series A to Build Real-World Training Data for Frontier Models and Embodied Agents

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September 23, 2026

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Real-world data lab captures expert human demonstrations, builds RL environments from real workflows and evaluates agents with domain experts; first open benchmark on household manipulation due Q4 2026

SAN JOSE, Calif., Sept. 23, 2026 /PRNewswire/ — Realset AI (https://realset.ai), a real-world data lab that produces training data for LLMs, frontier models and embodied agents, today announced that Realset AI and Flatkey have raised $10 million in Series A funding. The funding will expand Realset’s capture network of real workplaces and studio environments, grow its pool of expert demonstrators and domain experts, and support open benchmarks that measure whether AI policies work outside the lab.

Why It Matters: The Internet Is Exhausted, the Physical World Is Not

Frontier labs and robotics companies have largely consumed the text available on the internet. The next gains come from data about people doing real tasks in real places: how a worker folds laundry, loads a dishwasher, packs an order or handles a customer return. That data does not exist on the web, and simulation does not reproduce it.

Realset’s answer is that every dataset starts with a real person doing a real task in a real place. The company uses expert demonstrators rather than crowd annotators, real environments rather than simulation, and delivers de-identified data to US-hosted cloud buckets, with quality measured at every step of a single pipeline.

Three Ways to Produce Ground Truth

Realset Body: embodied data for physical policy models. Egocentric and third-person capture of skilled workers performing manipulation tasks in homes, kitchens, warehouses and light assembly lines, plus bimanual teleoperation episodes with synchronized stereo video, IMU and action logs. Delivered with dense action-level annotation optimized for vision-language-action (VLA) training.Realset Field: LLM and agent training data from RL environments built on real workflows. Environments that mirror e-commerce operations, customer support, logistics dispatch and manufacturing SOPs. Domain experts generate trajectories, preference pairs and rubrics inside the environment, with verifiable rewards from real business outcomes and bilingual English/Chinese expert pools.Realset Judge: expert evaluation for agents in production. Evaluation design, failure diagnosis and continuous monitoring by people who do the job the agent is replacing, with targeted fix-data for the top failure modes and re-scoring as models and prompts change. The same services are offered to data integration and AI solution companies that deploy agents for their own clients.

The Realset Workspace

All three run on the Realset Workspace, where domain experts in six languages (English, Simplified Chinese, Japanese, Korean, Spanish and Arabic) answer real tasks, attach evidence and screen recordings, and pass an independent quality review before a record is approved. Every approved record exports as JSONL with provenance that customers can verify.

Open Benchmarks on Real Tasks

Realset publishes open benchmarks so the field can measure what matters: whether a policy works outside the lab. The Realset Household Manipulation Bench evaluates open-source VLA policies including π0, OpenVLA, GR00T and Octo on folding, loading, sorting and wiping tasks captured in real kitchens and laundry rooms, scored by success rate over three trials per task, with results expected in Q4 2026. A Light Assembly Bench, scored by the line workers who trained on the tasks, and a Commerce Ops Agent Bench for computer-use agents on real e-commerce seller operations are planned.

“The easy data is gone. What is left is the physical world, and you cannot scrape it,” said Hunter Guo, founder of Realset AI. “You have to put a camera on a skilled person doing real work, structure what they did, and check it with people who know the job. That is a capture and quality problem, not a labeling problem, and it is the problem we are building a company around.”

About Realset AI

Realset AI is a real-world data lab and training data provider for LLMs and embodied AI. It captures expert human demonstrations, builds RL environments from real workflows and evaluates AI agents with domain experts, for frontier labs, robotics companies, and data integration and AI solution providers. Realset is headquartered in San Jose, California. Learn more at https://realset.ai 

About Flatkey

Flatkey is an AI infrastructure platform that gives developers access to more than 100 official AI models and more than 1,000 AI tools through one key and one balance. Learn more at https://flatkey.ai 

Media Contact

Xingru Ren
Head of Marketing
+1 424 356 6176
xingru@flatkey.ai
https://realset.ai 

View original content to download multimedia:https://www.prnewswire.com/news-releases/realset-ai-and-flatkey-raise-10m-series-a-to-build-real-world-training-data-for-frontier-models-and-embodied-agents-302887825.html

SOURCE Realset AI

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From Product Photos to Campaign Content: MakeShot on AI Video Efficiency for Small Teams

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September 23, 2026

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Longer video generation and richer reference inputs give small businesses new ways to develop marketing content, with savings determined by the work required to reach a usable result.

SINGAPORE, Sept. 23, 2026 /PRNewswire/ — MakeShot sees the strongest opportunity for small-team video marketing in reducing the work between a creative brief and usable footage. Capabilities such as longer video generation and richer reference inputs can help teams spend less effort assembling clips and correcting mismatched results, giving limited production budgets more room for creative testing.

For small marketing teams, production costs extend beyond filming or generating a clip. Preparing assets, matching shots, reviewing outputs, and revising details all consume resources. As AI video capabilities develop, the opportunity is to reduce these demands while giving teams more room to explore creative ideas.

Industry research illustrates the distinction between production gains and marketing outcomes. In Content Marketing Institute and MarketingProfs’ 2026 B2B research, 87% of marketers using AI for content creation reported improved productivity, while 39% reported improved content performance. These findings cover broader content creation, suggesting that faster production still needs to be paired with clear creative objectives and audience testing.

Longer Sequences, Fewer Assembly Tasks

Seedance 2.5, available through MakeShot’s AI Video Generator, supports videos of up to 30 seconds in a single generation. For a small team, that creates room to develop a connected sequence encompassing a product introduction, a setting, and a closing composition.

A skincare brand, for example, could explore a sequence moving from a moisturizer close-up into a morning bathroom scene before returning to the product. Generating that sequence together may reduce the work involved in assembling separate clips and reconciling differences in lighting, motion, or visual style.

The benefit depends on the result. A longer sequence that requires repeated regeneration can consume additional time and credits. Teams therefore need to consider how much of the output is usable and how easily it can be refined.

Clearer References, More Focused Creative Direction

On MakeShot, Seedance 2.5 supports up to 30 reference images, 10 video clips, and 10 audio clips, allowing teams to combine product, scene, motion, and sound references in one generation request.

For businesses with established product photography and brand assets, these inputs can communicate details that are difficult to express through text alone. Product images can guide appearance, scene references can establish atmosphere, and video or audio references can convey movement and sound.

MakeShot’s view is that the value lies in selecting relevant materials and assigning them clear roles. A focused set of references can provide a stronger creative brief than a larger collection containing conflicting directions. This gives small teams a practical way to apply their existing assets while retaining responsibility for product accuracy and final presentation.

Total Production Effort as the Measure of Efficiency

“For a small team, the most useful advance is one that removes work between the creative brief and the finished video,” said Wynn, Marketing Manager at MakeShot. “Longer generation and clearer references matter when they help teams reach an approved result with fewer revisions.”

MakeShot recommends evaluating total production effort, including unsuccessful generations, selection time, and final editing. Cost per usable video and time to an approved version provide more meaningful measures than the price or speed of a single generation.

This approach also helps teams decide where AI fits best. Concept exploration, atmospheric product footage, and creative variations may benefit from generation, while demonstrations requiring precise evidence of product performance may still call for filmed material. Allocating resources according to the task gives small businesses a clearer basis for managing production budgets.

About MakeShot

MakeShot is an AI video and image generation platform that gives creators and businesses access to multiple generative models through a browser-based interface. Its AI video generator supports text- and reference-driven creation for social media content, marketing projects, and visual storytelling.

Media Contact:
Wynn
Marketing Manager
Email: support@makeshot.ai
Website: https://makeshot.ai/

View original content:https://www.prnewswire.com/news-releases/from-product-photos-to-campaign-content-makeshot-on-ai-video-efficiency-for-small-teams-302887829.html

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Flatkey Raises $10M Series A After Surpassing 10,000 Developers in Two Months

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September 23, 2026

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The platform replaces a growing stack of provider accounts, credits and keys with one key, one balance and one invoice, at 60–90% of official list prices

SAN JOSE, Calif., Sept. 23, 2026 /PRNewswire/ — Flatkey (https://flatkey.ai), the AI infrastructure platform that brings models, tools and data together behind one API key, today announced that Flatkey and Realset AI have raised $10 million in Series A funding. The company also said that more than 10,000 developers have adopted the platform in the two months since its July 2026 launch, using a single API key and a single balance to access more than 100 official AI models and more than 1,000 AI tools. The Series A funding will go toward adding more official models and tools to the platform and scaling the infrastructure that routes developer traffic to them.

Flatkey is built as production infrastructure for AI developers, not a convenience layer. Every call is routed to the provider’s official endpoint, and because Flatkey buys upstream capacity in volume, most models are priced at around 80% of the providers’ official list prices, with some at 60% or lower as part of ongoing promotions. Developers pay less than they would going direct, and they do it through one key and one balance across models and tools.

Why It Matters: Models, Tools and Data Are Becoming One Layer

AI is shifting from answering questions to completing work. The agents doing that work depend on three things: the models that reason, the tools that act, and the data they act on. Each of those is fragmenting into more providers every quarter, and every provider adds an account, a top-up, an API key, a rate limit and an invoice.

Flatkey’s bet is that these three converge into a single layer developers reach through one key. A production application today rarely depends on one model: it combines several models across text, image, audio and video and pairs them with tools such as search, browsing and data enrichment. A team using models from OpenAI, Anthropic, Google and DeepSeek, a video model such as Seedance, and a search and a browser tool would ordinarily manage seven or more provider relationships. With Flatkey that becomes one key, one balance and one invoice, and a new model or tool is a parameter change rather than a new vendor.

What Developers Get

More than 100 official models from OpenAI, Anthropic, Google, DeepSeek, Kimi, GLM and others, plus image and video models such as Seedance. Every call is routed to the provider’s official endpoint. Flatkey does not self-host modified or quantized versions and label them as the original model.More than 1,000 tools on the same balance: search, browsers, data enrichment, media generation and actions, with no separate billing setup per vendor.Simple pricing. Subscription plans start at $10 per month, and pay-as-you-go credits cover both models and tools on one balance.A one-line migration. Flatkey is a drop-in replacement for any OpenAI-compatible client: developers change the base URL and their existing code works.New models on release day. Flatkey adds new models through official channels as soon as they are released, so teams do not open a new provider account every time something new ships.

“AI development is becoming less about choosing one model and more about combining models, data and tools across text, image, audio and video,” said Hunter Guo, founder of Flatkey. “If developers can reach all of that through one key, the platform stops being a convenience layer and starts to look like infrastructure. That is the company we are building.”

Availability

Flatkey is available today at https://flatkey.ai. New users start with $1 in free credit and can continue with pay-as-you-go credits or a monthly plan.

About Flatkey

Flatkey is an AI infrastructure platform that gives developers access to more than 100 official AI models and more than 1,000 AI tools through one key and one balance. Headquartered in San Jose, California, Flatkey launched in July 2026. Learn more at https://flatkey.ai 

Media Contact

Xingru Ren
Head of Marketing, Flatkey
+1 424 356 6176
xingru@flatkey.ai
https://flatkey.ai 

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U.S. Treasury Central Clearing Survey: Broad Industry Readiness for Cash Clearing, Industry Moving Towards Execution but Work Remains Ahead of Repo Deadline

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1 day ago

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NEW YORK, Sept. 22, 2026 /PRNewswire/ — SIFMA, BNY, Broadridge, and The Depository Trust & Clearing Corporation (DTCC), in collaboration with The ValueExchange, today released key findings from the “U.S. Treasury Central Clearing Pulse Survey,” which draws upon key insights and feedback from 340 experts worldwide. The survey, conducted in June 2026 by The ValueExchange, was designed to provide insight into industry preparedness for the December 31, 2026 cash implementation deadline and the June 30, 2027 deadline for eligible Treasury repo transactions.

The survey suggests the industry is positioned well for the cash implementation but there remains considerable work to do as the industry prepares for the repo deadline. Survey respondents include buy-side (45%) and sell-side (46%) firms, custodians and CCAs in the U.S., Europe, and Asia.  A similar survey was conducted in 2025.

The main findings capture an industry moving firmly from preparation into execution, while also highlighting where readiness, cost and implementation challenges remain:

86% of respondents are at least somewhat confident of meeting the overall mandate.Within that 86%, 44% of firms are “very confident” of meeting the deadline, with 13% “not confident” for cash and 16% for repo.87% of buy-side firms and 84% of sell-side firms are in execution mode for repo trades.More than half of respondents now have funded repo-clearing projects underway (up from 38% in 2025).Of those programs that are delayed, 88% cite legal/contract negotiation as the cause, and 44% now call contract negotiation “very challenging.”45% of firms say they still need more regulatory clarity to progress their readiness.67% of respondents are seeing delays caused by technology integration issues.50% expect ongoing costs to rise.

“The survey shows broad industry readiness for the cash go-live date in December, while also demonstrating that significant hurdles remain for us to navigate between now and the June repo deadline,” said Steve Byron, Managing Director and Head of Technology, Operations, and Business Continuity at SIFMA. “As firms move into the final stretch before the cash implementation deadline, the operational and documentation work underway across the industry is substantial, and getting it right matters given the central role U.S. Treasuries play in the global financial system. SIFMA remains committed to supporting our members through this transition, including through the standardized documentation and implementation guides we’ve made available to market participants. With the December 31 deadline now just months away, we look forward to continuing to work alongside the industry to ensure a smooth and successful transition in this critical market.”

U.S. Treasury Clearing is still a North American topic, with lower levels of preparations overseas, according to survey responses:

While North America respondents have moved furthest into delivery, 53% of respondents from Europe remain concentrated in scoping and 20% are engaged in no activity.In Asia-Pacific, 51% have not undertaken any activity, and 25% are still scoping.

The costs of mandatory clearing are still being estimated:

Ongoing costs are substantially less understood than implementation spend. Firms are still working to fully understand the economics of the operating model they are building.

57% of respondents still have not quantified the ongoing cost impact of mandatory clearing.24% have identified an expected cost increase, while 19% expect no change or a reduction in costs.Margin costs are expected to rise 37% on average.64% expect their one-off implementation costs to remain below $5 million.Among firms planning to use FICC’s Collateral in Lieu (CIL), 96% expect it to make central clearing cheaper. 71% of buy side firms plan to use CIL before the repo clearing deadline.

“The industry has made real progress toward central clearing, with firms gaining a clearer understanding of what compliance requires and how to compete and grow in a more complex Treasury market structure,” said Nate Wuerffel, Head of Market Structure and Head of Product for the Global Collateral Platform at BNY. “As the deadlines approach, firms need to stay focused and keep implementation moving. Clearing readiness is not just about meeting the SEC mandate –-it is essential to maintaining access to the U.S. Treasury market, the deepest and most liquid government bond market in the world.”

Model choice is about operations and cost:

The main driver of clearing model choice is operational capability for a third of respondents, while margin requirements have fallen sharply in importance and cost considerations have increased.

67% of buy side firms plan to use FICC’s Sponsored models, but the majority are using multiple models.74% of sell side firms will use direct clearing.

“FICC has remained committed to helping firms prepare for the impacts of the U.S. Treasury clearing mandate for several years, providing new access models, insightful calculator tools, and on-going education to promote readiness. We are pleased to see that many firms are progressing towards readiness but recognize that more work remains, especially as it relates to the repo implementation,” said Laura Klimpel, Managing Director, Head of DTCC’s Fixed Income and Financing Solutions. “With much of the industry coalescing around FICC’s offerings in the lead-up to the cash and repo deadlines, our focus remains on working closely with our clients to address open items and to ensure a smooth transition to central clearing.”

Clarity remains a key barrier to readiness:

The findings also highlight the need for further regulatory clarity and system changes to support mandatory clearing:

72% of firms need more clarity on key rules to be ready.Firms finding regulatory clarity very challenging have risen from 29% to 45%.Technology builds are causing delays for 74% of sell-side firms. 88% of delayed buy-side programs cite legal and account documentation, making this their dominant constraint.

Deadlines approach:

Q4 is a critical window for project delivery.

Up to 59% of project activity will complete after the cash deadline.51% of firms have no formal contingency plan for missed readiness.

“The survey shows the industry is moving in the right direction, but the next phase will be defined by disciplined execution,” said Ami Vora, Vice President, Product Management, Broadridge.  “Organizations should prioritize technology readiness, operational resiliency, testing and clear fallback plans including stronger contingency planning.  Taking these steps now will be critical to supporting a smooth transition to mandatory U.S. Treasury central clearing.”

Survey results are available at the following link: https://www.sifma.org/research/white-papers/us-treasury-central-clearing-pulse-survey

About the Report 
The U.S. Treasury Central Clearing pulse survey, led by SIFMA, BNY, Broadridge and DTCC was conducted in June 2026 by The ValueExchange. It captures data from 340 industry experts across the buy-side, sell-side and market infrastructure communities. 

About SIFMA
SIFMA is the leading trade association for broker-dealers, investment banks and asset managers operating in the U.S. and global capital markets. On behalf of our industry’s one million employees, we advocate on legislation, regulation and business policy affecting retail and institutional investors, equity and fixed income markets and related products and services. We serve as an industry coordinating body to promote fair and orderly markets, informed regulatory compliance, and efficient market operations and resiliency. We also provide a forum for industry policy and professional development.  SIFMA, with offices in New York and Washington, D.C., is the U.S. regional member of the Global Financial Markets Association (GFMA).

About BNY
BNY is a global financial services platforms company at the heart of the world’s capital markets. For more than 240 years BNY has partnered alongside clients, using its expertise and platforms to help them operate more efficiently and accelerate growth. Today BNY serves over 90% of Fortune 100 companies and nearly all the top 100 banks globally. BNY supports governments in funding local projects and works with over 90% of the top 100 pension plans to safeguard investments for millions of individuals. As of June 30, 2026, BNY oversees $62.6 trillion in assets under custody and/or administration and $2.2 trillion in assets under management.

BNY is the corporate brand of The Bank of New York Mellon Corporation (NYSE: BNY). Headquartered in New York City, BNY has been named among Fortune’s World’s Most Admired Companies and Fast Company’s Best Workplaces for Innovators. Additional information is available on www.bny.com. Follow on LinkedIn or visit the BNY Newsroom for the latest company news.

About Broadridge
Broadridge (NYSE: BR) is a global technology leader with trusted expertise and transformative technology, helping clients and the financial services industry operate, innovate, and grow. We power investing, governance, and communications for our clients – driving operational resiliency, elevating business performance, and transforming investor experiences.

Our technology and operations platforms process and generate over 8 billion communications annually and underpin the daily average trading of over $18 trillion in tokenized and traditional securities globally. A certified Great Place to Work®, Broadridge is part of the S&P 500® Index, employing approximately 16,000 associates in 28 countries.

For more information about us, please visit www.broadridge.com.

About DTCC
With over 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 19 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency, enhancing performance and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm innovates purposefully, simplifying the complexities of clearing, settlement, asset servicing, transaction processing, trade reporting and data services across asset classes, bringing enhanced resilience and soundness to existing financial markets while advancing the digital asset ecosystem. In 2025, DTCC’s subsidiaries processed securities transactions valued at U.S. $4.7 quadrillion and its depository subsidiary provided custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $114 trillion. DTCC’s Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 25 billion messages annually. To learn more, please visit us at www.dtcc.com or connect with us on LinkedIn, X, YouTube, Facebook and Instagram.

About The ValueExchange
The ValueExchange is a global market research firm, specialised in the post-trade space. Founded in 2019, we focus on the areas of digital assets and DLT, settlement transformation, clearing and collateral, asset servicing, and investment management operations. We help the capital markets make better strategic decisions, through impartial and data-driven insights, backed by unique industry experience and engagement. For more information, please visit us at www.thevalueexchange.co

Media contacts:
SIFMA:  Katrina Cavalli, kcavalli@sifma.org
BNY:  Meghan Carbone, meghan.carbone@bny.com  
Broadridge: Gregg Rosenberg, Gregg.Rosenberg@broadridge.com  
DTCC:  Kristi Morrow, kmorrow@dtcc.com
The ValueExchange: Mark Brannigan, mark.brannigan@thevalueexchange.co 

 

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Realset AI and Flatkey Raise $10M Series A to Build Real-World Training Data for Frontier Models and Embodied Agents

Published

4 minutes ago

on

September 23, 2026

By

Real-world data lab captures expert human demonstrations, builds RL environments from real workflows and evaluates agents with domain experts; first open benchmark on household manipulation due Q4 2026

SAN JOSE, Calif., Sept. 23, 2026 /PRNewswire/ — Realset AI (https://realset.ai), a real-world data lab that produces training data for LLMs, frontier models and embodied agents, today announced that Realset AI and Flatkey have raised $10 million in Series A funding. The funding will expand Realset’s capture network of real workplaces and studio environments, grow its pool of expert demonstrators and domain experts, and support open benchmarks that measure whether AI policies work outside the lab.

Why It Matters: The Internet Is Exhausted, the Physical World Is Not

Frontier labs and robotics companies have largely consumed the text available on the internet. The next gains come from data about people doing real tasks in real places: how a worker folds laundry, loads a dishwasher, packs an order or handles a customer return. That data does not exist on the web, and simulation does not reproduce it.

Realset’s answer is that every dataset starts with a real person doing a real task in a real place. The company uses expert demonstrators rather than crowd annotators, real environments rather than simulation, and delivers de-identified data to US-hosted cloud buckets, with quality measured at every step of a single pipeline.

Three Ways to Produce Ground Truth

Realset Body: embodied data for physical policy models. Egocentric and third-person capture of skilled workers performing manipulation tasks in homes, kitchens, warehouses and light assembly lines, plus bimanual teleoperation episodes with synchronized stereo video, IMU and action logs. Delivered with dense action-level annotation optimized for vision-language-action (VLA) training.Realset Field: LLM and agent training data from RL environments built on real workflows. Environments that mirror e-commerce operations, customer support, logistics dispatch and manufacturing SOPs. Domain experts generate trajectories, preference pairs and rubrics inside the environment, with verifiable rewards from real business outcomes and bilingual English/Chinese expert pools.Realset Judge: expert evaluation for agents in production. Evaluation design, failure diagnosis and continuous monitoring by people who do the job the agent is replacing, with targeted fix-data for the top failure modes and re-scoring as models and prompts change. The same services are offered to data integration and AI solution companies that deploy agents for their own clients.

The Realset Workspace

All three run on the Realset Workspace, where domain experts in six languages (English, Simplified Chinese, Japanese, Korean, Spanish and Arabic) answer real tasks, attach evidence and screen recordings, and pass an independent quality review before a record is approved. Every approved record exports as JSONL with provenance that customers can verify.

Open Benchmarks on Real Tasks

Realset publishes open benchmarks so the field can measure what matters: whether a policy works outside the lab. The Realset Household Manipulation Bench evaluates open-source VLA policies including π0, OpenVLA, GR00T and Octo on folding, loading, sorting and wiping tasks captured in real kitchens and laundry rooms, scored by success rate over three trials per task, with results expected in Q4 2026. A Light Assembly Bench, scored by the line workers who trained on the tasks, and a Commerce Ops Agent Bench for computer-use agents on real e-commerce seller operations are planned.

“The easy data is gone. What is left is the physical world, and you cannot scrape it,” said Hunter Guo, founder of Realset AI. “You have to put a camera on a skilled person doing real work, structure what they did, and check it with people who know the job. That is a capture and quality problem, not a labeling problem, and it is the problem we are building a company around.”

About Realset AI

Realset AI is a real-world data lab and training data provider for LLMs and embodied AI. It captures expert human demonstrations, builds RL environments from real workflows and evaluates AI agents with domain experts, for frontier labs, robotics companies, and data integration and AI solution providers. Realset is headquartered in San Jose, California. Learn more at https://realset.ai 

About Flatkey

Flatkey is an AI infrastructure platform that gives developers access to more than 100 official AI models and more than 1,000 AI tools through one key and one balance. Learn more at https://flatkey.ai 

Media Contact

Xingru Ren
Head of Marketing
+1 424 356 6176
xingru@flatkey.ai
https://realset.ai 

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From Product Photos to Campaign Content: MakeShot on AI Video Efficiency for Small Teams

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4 minutes ago

on

September 23, 2026

By

Longer video generation and richer reference inputs give small businesses new ways to develop marketing content, with savings determined by the work required to reach a usable result.

SINGAPORE, Sept. 23, 2026 /PRNewswire/ — MakeShot sees the strongest opportunity for small-team video marketing in reducing the work between a creative brief and usable footage. Capabilities such as longer video generation and richer reference inputs can help teams spend less effort assembling clips and correcting mismatched results, giving limited production budgets more room for creative testing.

For small marketing teams, production costs extend beyond filming or generating a clip. Preparing assets, matching shots, reviewing outputs, and revising details all consume resources. As AI video capabilities develop, the opportunity is to reduce these demands while giving teams more room to explore creative ideas.

Industry research illustrates the distinction between production gains and marketing outcomes. In Content Marketing Institute and MarketingProfs’ 2026 B2B research, 87% of marketers using AI for content creation reported improved productivity, while 39% reported improved content performance. These findings cover broader content creation, suggesting that faster production still needs to be paired with clear creative objectives and audience testing.

Longer Sequences, Fewer Assembly Tasks

Seedance 2.5, available through MakeShot’s AI Video Generator, supports videos of up to 30 seconds in a single generation. For a small team, that creates room to develop a connected sequence encompassing a product introduction, a setting, and a closing composition.

A skincare brand, for example, could explore a sequence moving from a moisturizer close-up into a morning bathroom scene before returning to the product. Generating that sequence together may reduce the work involved in assembling separate clips and reconciling differences in lighting, motion, or visual style.

The benefit depends on the result. A longer sequence that requires repeated regeneration can consume additional time and credits. Teams therefore need to consider how much of the output is usable and how easily it can be refined.

Clearer References, More Focused Creative Direction

On MakeShot, Seedance 2.5 supports up to 30 reference images, 10 video clips, and 10 audio clips, allowing teams to combine product, scene, motion, and sound references in one generation request.

For businesses with established product photography and brand assets, these inputs can communicate details that are difficult to express through text alone. Product images can guide appearance, scene references can establish atmosphere, and video or audio references can convey movement and sound.

MakeShot’s view is that the value lies in selecting relevant materials and assigning them clear roles. A focused set of references can provide a stronger creative brief than a larger collection containing conflicting directions. This gives small teams a practical way to apply their existing assets while retaining responsibility for product accuracy and final presentation.

Total Production Effort as the Measure of Efficiency

“For a small team, the most useful advance is one that removes work between the creative brief and the finished video,” said Wynn, Marketing Manager at MakeShot. “Longer generation and clearer references matter when they help teams reach an approved result with fewer revisions.”

MakeShot recommends evaluating total production effort, including unsuccessful generations, selection time, and final editing. Cost per usable video and time to an approved version provide more meaningful measures than the price or speed of a single generation.

This approach also helps teams decide where AI fits best. Concept exploration, atmospheric product footage, and creative variations may benefit from generation, while demonstrations requiring precise evidence of product performance may still call for filmed material. Allocating resources according to the task gives small businesses a clearer basis for managing production budgets.

About MakeShot

MakeShot is an AI video and image generation platform that gives creators and businesses access to multiple generative models through a browser-based interface. Its AI video generator supports text- and reference-driven creation for social media content, marketing projects, and visual storytelling.

Media Contact:
Wynn
Marketing Manager
Email: support@makeshot.ai
Website: https://makeshot.ai/

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Flatkey Raises $10M Series A After Surpassing 10,000 Developers in Two Months

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4 minutes ago

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September 23, 2026

By

The platform replaces a growing stack of provider accounts, credits and keys with one key, one balance and one invoice, at 60–90% of official list prices

SAN JOSE, Calif., Sept. 23, 2026 /PRNewswire/ — Flatkey (https://flatkey.ai), the AI infrastructure platform that brings models, tools and data together behind one API key, today announced that Flatkey and Realset AI have raised $10 million in Series A funding. The company also said that more than 10,000 developers have adopted the platform in the two months since its July 2026 launch, using a single API key and a single balance to access more than 100 official AI models and more than 1,000 AI tools. The Series A funding will go toward adding more official models and tools to the platform and scaling the infrastructure that routes developer traffic to them.

Flatkey is built as production infrastructure for AI developers, not a convenience layer. Every call is routed to the provider’s official endpoint, and because Flatkey buys upstream capacity in volume, most models are priced at around 80% of the providers’ official list prices, with some at 60% or lower as part of ongoing promotions. Developers pay less than they would going direct, and they do it through one key and one balance across models and tools.

Why It Matters: Models, Tools and Data Are Becoming One Layer

AI is shifting from answering questions to completing work. The agents doing that work depend on three things: the models that reason, the tools that act, and the data they act on. Each of those is fragmenting into more providers every quarter, and every provider adds an account, a top-up, an API key, a rate limit and an invoice.

Flatkey’s bet is that these three converge into a single layer developers reach through one key. A production application today rarely depends on one model: it combines several models across text, image, audio and video and pairs them with tools such as search, browsing and data enrichment. A team using models from OpenAI, Anthropic, Google and DeepSeek, a video model such as Seedance, and a search and a browser tool would ordinarily manage seven or more provider relationships. With Flatkey that becomes one key, one balance and one invoice, and a new model or tool is a parameter change rather than a new vendor.

What Developers Get

More than 100 official models from OpenAI, Anthropic, Google, DeepSeek, Kimi, GLM and others, plus image and video models such as Seedance. Every call is routed to the provider’s official endpoint. Flatkey does not self-host modified or quantized versions and label them as the original model.More than 1,000 tools on the same balance: search, browsers, data enrichment, media generation and actions, with no separate billing setup per vendor.Simple pricing. Subscription plans start at $10 per month, and pay-as-you-go credits cover both models and tools on one balance.A one-line migration. Flatkey is a drop-in replacement for any OpenAI-compatible client: developers change the base URL and their existing code works.New models on release day. Flatkey adds new models through official channels as soon as they are released, so teams do not open a new provider account every time something new ships.

“AI development is becoming less about choosing one model and more about combining models, data and tools across text, image, audio and video,” said Hunter Guo, founder of Flatkey. “If developers can reach all of that through one key, the platform stops being a convenience layer and starts to look like infrastructure. That is the company we are building.”

Availability

Flatkey is available today at https://flatkey.ai. New users start with $1 in free credit and can continue with pay-as-you-go credits or a monthly plan.

About Flatkey

Flatkey is an AI infrastructure platform that gives developers access to more than 100 official AI models and more than 1,000 AI tools through one key and one balance. Headquartered in San Jose, California, Flatkey launched in July 2026. Learn more at https://flatkey.ai 

Media Contact

Xingru Ren
Head of Marketing, Flatkey
+1 424 356 6176
xingru@flatkey.ai
https://flatkey.ai 

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U.S. Treasury Central Clearing Survey: Broad Industry Readiness for Cash Clearing, Industry Moving Towards Execution but Work Remains Ahead of Repo Deadline

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NEW YORK, Sept. 22, 2026 /PRNewswire/ — SIFMA, BNY, Broadridge, and The Depository Trust & Clearing Corporation (DTCC), in collaboration with The ValueExchange, today released key findings from the “U.S. Treasury Central Clearing Pulse Survey,” which draws upon key insights and feedback from 340 experts worldwide. The survey, conducted in June 2026 by The ValueExchange, was designed to provide insight into industry preparedness for the December 31, 2026 cash implementation deadline and the June 30, 2027 deadline for eligible Treasury repo transactions.

The survey suggests the industry is positioned well for the cash implementation but there remains considerable work to do as the industry prepares for the repo deadline. Survey respondents include buy-side (45%) and sell-side (46%) firms, custodians and CCAs in the U.S., Europe, and Asia.  A similar survey was conducted in 2025.

The main findings capture an industry moving firmly from preparation into execution, while also highlighting where readiness, cost and implementation challenges remain:

86% of respondents are at least somewhat confident of meeting the overall mandate.Within that 86%, 44% of firms are “very confident” of meeting the deadline, with 13% “not confident” for cash and 16% for repo.87% of buy-side firms and 84% of sell-side firms are in execution mode for repo trades.More than half of respondents now have funded repo-clearing projects underway (up from 38% in 2025).Of those programs that are delayed, 88% cite legal/contract negotiation as the cause, and 44% now call contract negotiation “very challenging.”45% of firms say they still need more regulatory clarity to progress their readiness.67% of respondents are seeing delays caused by technology integration issues.50% expect ongoing costs to rise.

“The survey shows broad industry readiness for the cash go-live date in December, while also demonstrating that significant hurdles remain for us to navigate between now and the June repo deadline,” said Steve Byron, Managing Director and Head of Technology, Operations, and Business Continuity at SIFMA. “As firms move into the final stretch before the cash implementation deadline, the operational and documentation work underway across the industry is substantial, and getting it right matters given the central role U.S. Treasuries play in the global financial system. SIFMA remains committed to supporting our members through this transition, including through the standardized documentation and implementation guides we’ve made available to market participants. With the December 31 deadline now just months away, we look forward to continuing to work alongside the industry to ensure a smooth and successful transition in this critical market.”

U.S. Treasury Clearing is still a North American topic, with lower levels of preparations overseas, according to survey responses:

While North America respondents have moved furthest into delivery, 53% of respondents from Europe remain concentrated in scoping and 20% are engaged in no activity.In Asia-Pacific, 51% have not undertaken any activity, and 25% are still scoping.

The costs of mandatory clearing are still being estimated:

Ongoing costs are substantially less understood than implementation spend. Firms are still working to fully understand the economics of the operating model they are building.

57% of respondents still have not quantified the ongoing cost impact of mandatory clearing.24% have identified an expected cost increase, while 19% expect no change or a reduction in costs.Margin costs are expected to rise 37% on average.64% expect their one-off implementation costs to remain below $5 million.Among firms planning to use FICC’s Collateral in Lieu (CIL), 96% expect it to make central clearing cheaper. 71% of buy side firms plan to use CIL before the repo clearing deadline.

“The industry has made real progress toward central clearing, with firms gaining a clearer understanding of what compliance requires and how to compete and grow in a more complex Treasury market structure,” said Nate Wuerffel, Head of Market Structure and Head of Product for the Global Collateral Platform at BNY. “As the deadlines approach, firms need to stay focused and keep implementation moving. Clearing readiness is not just about meeting the SEC mandate –-it is essential to maintaining access to the U.S. Treasury market, the deepest and most liquid government bond market in the world.”

Model choice is about operations and cost:

The main driver of clearing model choice is operational capability for a third of respondents, while margin requirements have fallen sharply in importance and cost considerations have increased.

67% of buy side firms plan to use FICC’s Sponsored models, but the majority are using multiple models.74% of sell side firms will use direct clearing.

“FICC has remained committed to helping firms prepare for the impacts of the U.S. Treasury clearing mandate for several years, providing new access models, insightful calculator tools, and on-going education to promote readiness. We are pleased to see that many firms are progressing towards readiness but recognize that more work remains, especially as it relates to the repo implementation,” said Laura Klimpel, Managing Director, Head of DTCC’s Fixed Income and Financing Solutions. “With much of the industry coalescing around FICC’s offerings in the lead-up to the cash and repo deadlines, our focus remains on working closely with our clients to address open items and to ensure a smooth transition to central clearing.”

Clarity remains a key barrier to readiness:

The findings also highlight the need for further regulatory clarity and system changes to support mandatory clearing:

72% of firms need more clarity on key rules to be ready.Firms finding regulatory clarity very challenging have risen from 29% to 45%.Technology builds are causing delays for 74% of sell-side firms. 88% of delayed buy-side programs cite legal and account documentation, making this their dominant constraint.

Deadlines approach:

Q4 is a critical window for project delivery.

Up to 59% of project activity will complete after the cash deadline.51% of firms have no formal contingency plan for missed readiness.

“The survey shows the industry is moving in the right direction, but the next phase will be defined by disciplined execution,” said Ami Vora, Vice President, Product Management, Broadridge.  “Organizations should prioritize technology readiness, operational resiliency, testing and clear fallback plans including stronger contingency planning.  Taking these steps now will be critical to supporting a smooth transition to mandatory U.S. Treasury central clearing.”

Survey results are available at the following link: https://www.sifma.org/research/white-papers/us-treasury-central-clearing-pulse-survey

About the Report 
The U.S. Treasury Central Clearing pulse survey, led by SIFMA, BNY, Broadridge and DTCC was conducted in June 2026 by The ValueExchange. It captures data from 340 industry experts across the buy-side, sell-side and market infrastructure communities. 

About SIFMA
SIFMA is the leading trade association for broker-dealers, investment banks and asset managers operating in the U.S. and global capital markets. On behalf of our industry’s one million employees, we advocate on legislation, regulation and business policy affecting retail and institutional investors, equity and fixed income markets and related products and services. We serve as an industry coordinating body to promote fair and orderly markets, informed regulatory compliance, and efficient market operations and resiliency. We also provide a forum for industry policy and professional development.  SIFMA, with offices in New York and Washington, D.C., is the U.S. regional member of the Global Financial Markets Association (GFMA).

About BNY
BNY is a global financial services platforms company at the heart of the world’s capital markets. For more than 240 years BNY has partnered alongside clients, using its expertise and platforms to help them operate more efficiently and accelerate growth. Today BNY serves over 90% of Fortune 100 companies and nearly all the top 100 banks globally. BNY supports governments in funding local projects and works with over 90% of the top 100 pension plans to safeguard investments for millions of individuals. As of June 30, 2026, BNY oversees $62.6 trillion in assets under custody and/or administration and $2.2 trillion in assets under management.

BNY is the corporate brand of The Bank of New York Mellon Corporation (NYSE: BNY). Headquartered in New York City, BNY has been named among Fortune’s World’s Most Admired Companies and Fast Company’s Best Workplaces for Innovators. Additional information is available on www.bny.com. Follow on LinkedIn or visit the BNY Newsroom for the latest company news.

About Broadridge
Broadridge (NYSE: BR) is a global technology leader with trusted expertise and transformative technology, helping clients and the financial services industry operate, innovate, and grow. We power investing, governance, and communications for our clients – driving operational resiliency, elevating business performance, and transforming investor experiences.

Our technology and operations platforms process and generate over 8 billion communications annually and underpin the daily average trading of over $18 trillion in tokenized and traditional securities globally. A certified Great Place to Work®, Broadridge is part of the S&P 500® Index, employing approximately 16,000 associates in 28 countries.

For more information about us, please visit www.broadridge.com.

About DTCC
With over 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 19 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency, enhancing performance and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm innovates purposefully, simplifying the complexities of clearing, settlement, asset servicing, transaction processing, trade reporting and data services across asset classes, bringing enhanced resilience and soundness to existing financial markets while advancing the digital asset ecosystem. In 2025, DTCC’s subsidiaries processed securities transactions valued at U.S. $4.7 quadrillion and its depository subsidiary provided custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $114 trillion. DTCC’s Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 25 billion messages annually. To learn more, please visit us at www.dtcc.com or connect with us on LinkedIn, X, YouTube, Facebook and Instagram.

About The ValueExchange
The ValueExchange is a global market research firm, specialised in the post-trade space. Founded in 2019, we focus on the areas of digital assets and DLT, settlement transformation, clearing and collateral, asset servicing, and investment management operations. We help the capital markets make better strategic decisions, through impartial and data-driven insights, backed by unique industry experience and engagement. For more information, please visit us at www.thevalueexchange.co

Media contacts:
SIFMA:  Katrina Cavalli, kcavalli@sifma.org
BNY:  Meghan Carbone, meghan.carbone@bny.com  
Broadridge: Gregg Rosenberg, Gregg.Rosenberg@broadridge.com  
DTCC:  Kristi Morrow, kmorrow@dtcc.com
The ValueExchange: Mark Brannigan, mark.brannigan@thevalueexchange.co 

 

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Realset AI and Flatkey Raise $10M Series A to Build Real-World Training Data for Frontier Models and Embodied Agents

Published

4 minutes ago

on

September 23, 2026

By

Real-world data lab captures expert human demonstrations, builds RL environments from real workflows and evaluates agents with domain experts; first open benchmark on household manipulation due Q4 2026

SAN JOSE, Calif., Sept. 23, 2026 /PRNewswire/ — Realset AI (https://realset.ai), a real-world data lab that produces training data for LLMs, frontier models and embodied agents, today announced that Realset AI and Flatkey have raised $10 million in Series A funding. The funding will expand Realset’s capture network of real workplaces and studio environments, grow its pool of expert demonstrators and domain experts, and support open benchmarks that measure whether AI policies work outside the lab.

Why It Matters: The Internet Is Exhausted, the Physical World Is Not

Frontier labs and robotics companies have largely consumed the text available on the internet. The next gains come from data about people doing real tasks in real places: how a worker folds laundry, loads a dishwasher, packs an order or handles a customer return. That data does not exist on the web, and simulation does not reproduce it.

Realset’s answer is that every dataset starts with a real person doing a real task in a real place. The company uses expert demonstrators rather than crowd annotators, real environments rather than simulation, and delivers de-identified data to US-hosted cloud buckets, with quality measured at every step of a single pipeline.

Three Ways to Produce Ground Truth

Realset Body: embodied data for physical policy models. Egocentric and third-person capture of skilled workers performing manipulation tasks in homes, kitchens, warehouses and light assembly lines, plus bimanual teleoperation episodes with synchronized stereo video, IMU and action logs. Delivered with dense action-level annotation optimized for vision-language-action (VLA) training.Realset Field: LLM and agent training data from RL environments built on real workflows. Environments that mirror e-commerce operations, customer support, logistics dispatch and manufacturing SOPs. Domain experts generate trajectories, preference pairs and rubrics inside the environment, with verifiable rewards from real business outcomes and bilingual English/Chinese expert pools.Realset Judge: expert evaluation for agents in production. Evaluation design, failure diagnosis and continuous monitoring by people who do the job the agent is replacing, with targeted fix-data for the top failure modes and re-scoring as models and prompts change. The same services are offered to data integration and AI solution companies that deploy agents for their own clients.

The Realset Workspace

All three run on the Realset Workspace, where domain experts in six languages (English, Simplified Chinese, Japanese, Korean, Spanish and Arabic) answer real tasks, attach evidence and screen recordings, and pass an independent quality review before a record is approved. Every approved record exports as JSONL with provenance that customers can verify.

Open Benchmarks on Real Tasks

Realset publishes open benchmarks so the field can measure what matters: whether a policy works outside the lab. The Realset Household Manipulation Bench evaluates open-source VLA policies including π0, OpenVLA, GR00T and Octo on folding, loading, sorting and wiping tasks captured in real kitchens and laundry rooms, scored by success rate over three trials per task, with results expected in Q4 2026. A Light Assembly Bench, scored by the line workers who trained on the tasks, and a Commerce Ops Agent Bench for computer-use agents on real e-commerce seller operations are planned.

“The easy data is gone. What is left is the physical world, and you cannot scrape it,” said Hunter Guo, founder of Realset AI. “You have to put a camera on a skilled person doing real work, structure what they did, and check it with people who know the job. That is a capture and quality problem, not a labeling problem, and it is the problem we are building a company around.”

About Realset AI

Realset AI is a real-world data lab and training data provider for LLMs and embodied AI. It captures expert human demonstrations, builds RL environments from real workflows and evaluates AI agents with domain experts, for frontier labs, robotics companies, and data integration and AI solution providers. Realset is headquartered in San Jose, California. Learn more at https://realset.ai 

About Flatkey

Flatkey is an AI infrastructure platform that gives developers access to more than 100 official AI models and more than 1,000 AI tools through one key and one balance. Learn more at https://flatkey.ai 

Media Contact

Xingru Ren
Head of Marketing
+1 424 356 6176
xingru@flatkey.ai
https://realset.ai 

View original content to download multimedia:https://www.prnewswire.com/news-releases/realset-ai-and-flatkey-raise-10m-series-a-to-build-real-world-training-data-for-frontier-models-and-embodied-agents-302887825.html

SOURCE Realset AI

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From Product Photos to Campaign Content: MakeShot on AI Video Efficiency for Small Teams

Published

4 minutes ago

on

September 23, 2026

By

Longer video generation and richer reference inputs give small businesses new ways to develop marketing content, with savings determined by the work required to reach a usable result.

SINGAPORE, Sept. 23, 2026 /PRNewswire/ — MakeShot sees the strongest opportunity for small-team video marketing in reducing the work between a creative brief and usable footage. Capabilities such as longer video generation and richer reference inputs can help teams spend less effort assembling clips and correcting mismatched results, giving limited production budgets more room for creative testing.

For small marketing teams, production costs extend beyond filming or generating a clip. Preparing assets, matching shots, reviewing outputs, and revising details all consume resources. As AI video capabilities develop, the opportunity is to reduce these demands while giving teams more room to explore creative ideas.

Industry research illustrates the distinction between production gains and marketing outcomes. In Content Marketing Institute and MarketingProfs’ 2026 B2B research, 87% of marketers using AI for content creation reported improved productivity, while 39% reported improved content performance. These findings cover broader content creation, suggesting that faster production still needs to be paired with clear creative objectives and audience testing.

Longer Sequences, Fewer Assembly Tasks

Seedance 2.5, available through MakeShot’s AI Video Generator, supports videos of up to 30 seconds in a single generation. For a small team, that creates room to develop a connected sequence encompassing a product introduction, a setting, and a closing composition.

A skincare brand, for example, could explore a sequence moving from a moisturizer close-up into a morning bathroom scene before returning to the product. Generating that sequence together may reduce the work involved in assembling separate clips and reconciling differences in lighting, motion, or visual style.

The benefit depends on the result. A longer sequence that requires repeated regeneration can consume additional time and credits. Teams therefore need to consider how much of the output is usable and how easily it can be refined.

Clearer References, More Focused Creative Direction

On MakeShot, Seedance 2.5 supports up to 30 reference images, 10 video clips, and 10 audio clips, allowing teams to combine product, scene, motion, and sound references in one generation request.

For businesses with established product photography and brand assets, these inputs can communicate details that are difficult to express through text alone. Product images can guide appearance, scene references can establish atmosphere, and video or audio references can convey movement and sound.

MakeShot’s view is that the value lies in selecting relevant materials and assigning them clear roles. A focused set of references can provide a stronger creative brief than a larger collection containing conflicting directions. This gives small teams a practical way to apply their existing assets while retaining responsibility for product accuracy and final presentation.

Total Production Effort as the Measure of Efficiency

“For a small team, the most useful advance is one that removes work between the creative brief and the finished video,” said Wynn, Marketing Manager at MakeShot. “Longer generation and clearer references matter when they help teams reach an approved result with fewer revisions.”

MakeShot recommends evaluating total production effort, including unsuccessful generations, selection time, and final editing. Cost per usable video and time to an approved version provide more meaningful measures than the price or speed of a single generation.

This approach also helps teams decide where AI fits best. Concept exploration, atmospheric product footage, and creative variations may benefit from generation, while demonstrations requiring precise evidence of product performance may still call for filmed material. Allocating resources according to the task gives small businesses a clearer basis for managing production budgets.

About MakeShot

MakeShot is an AI video and image generation platform that gives creators and businesses access to multiple generative models through a browser-based interface. Its AI video generator supports text- and reference-driven creation for social media content, marketing projects, and visual storytelling.

Media Contact:
Wynn
Marketing Manager
Email: support@makeshot.ai
Website: https://makeshot.ai/

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SOURCE MakeShot

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Technology

Flatkey Raises $10M Series A After Surpassing 10,000 Developers in Two Months

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4 minutes ago

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September 23, 2026

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The platform replaces a growing stack of provider accounts, credits and keys with one key, one balance and one invoice, at 60–90% of official list prices

SAN JOSE, Calif., Sept. 23, 2026 /PRNewswire/ — Flatkey (https://flatkey.ai), the AI infrastructure platform that brings models, tools and data together behind one API key, today announced that Flatkey and Realset AI have raised $10 million in Series A funding. The company also said that more than 10,000 developers have adopted the platform in the two months since its July 2026 launch, using a single API key and a single balance to access more than 100 official AI models and more than 1,000 AI tools. The Series A funding will go toward adding more official models and tools to the platform and scaling the infrastructure that routes developer traffic to them.

Flatkey is built as production infrastructure for AI developers, not a convenience layer. Every call is routed to the provider’s official endpoint, and because Flatkey buys upstream capacity in volume, most models are priced at around 80% of the providers’ official list prices, with some at 60% or lower as part of ongoing promotions. Developers pay less than they would going direct, and they do it through one key and one balance across models and tools.

Why It Matters: Models, Tools and Data Are Becoming One Layer

AI is shifting from answering questions to completing work. The agents doing that work depend on three things: the models that reason, the tools that act, and the data they act on. Each of those is fragmenting into more providers every quarter, and every provider adds an account, a top-up, an API key, a rate limit and an invoice.

Flatkey’s bet is that these three converge into a single layer developers reach through one key. A production application today rarely depends on one model: it combines several models across text, image, audio and video and pairs them with tools such as search, browsing and data enrichment. A team using models from OpenAI, Anthropic, Google and DeepSeek, a video model such as Seedance, and a search and a browser tool would ordinarily manage seven or more provider relationships. With Flatkey that becomes one key, one balance and one invoice, and a new model or tool is a parameter change rather than a new vendor.

What Developers Get

More than 100 official models from OpenAI, Anthropic, Google, DeepSeek, Kimi, GLM and others, plus image and video models such as Seedance. Every call is routed to the provider’s official endpoint. Flatkey does not self-host modified or quantized versions and label them as the original model.More than 1,000 tools on the same balance: search, browsers, data enrichment, media generation and actions, with no separate billing setup per vendor.Simple pricing. Subscription plans start at $10 per month, and pay-as-you-go credits cover both models and tools on one balance.A one-line migration. Flatkey is a drop-in replacement for any OpenAI-compatible client: developers change the base URL and their existing code works.New models on release day. Flatkey adds new models through official channels as soon as they are released, so teams do not open a new provider account every time something new ships.

“AI development is becoming less about choosing one model and more about combining models, data and tools across text, image, audio and video,” said Hunter Guo, founder of Flatkey. “If developers can reach all of that through one key, the platform stops being a convenience layer and starts to look like infrastructure. That is the company we are building.”

Availability

Flatkey is available today at https://flatkey.ai. New users start with $1 in free credit and can continue with pay-as-you-go credits or a monthly plan.

About Flatkey

Flatkey is an AI infrastructure platform that gives developers access to more than 100 official AI models and more than 1,000 AI tools through one key and one balance. Headquartered in San Jose, California, Flatkey launched in July 2026. Learn more at https://flatkey.ai 

Media Contact

Xingru Ren
Head of Marketing, Flatkey
+1 424 356 6176
xingru@flatkey.ai
https://flatkey.ai 

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SOURCE Flatkey

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