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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SOURCE Realset AI

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

SOURCE MakeShot

HIGHTSTOWN, N.J., Sept. 23, 2026 /PRNewswire/ — My Green Condo Inc. (MGCOne) has released a comprehensive industry brief detailing how blockchain, asset tokenization, and stablecoins are poised to permanently transform residential real estate and community association management through faster, transparent, and secure digital infrastructure.

Community managers face mounting administrative backlogs, rising operational costs, and outdated closing bottlenecks. Backed by U.S. Patent No. 12,443,952, MGCOne’s proprietary blockchain framework introduces an “Association-Centric” model where communities retain absolute ownership of their data, financial ledgers, and operational history.

“For decades, community associations have been constrained by paper trails, fragmented databases, and outdated workflows,” said the leadership team at MGCOne. “By moving property data, financial transactions, and community governance onto a unified blockchain ledger, we are not merely improving the current process—we are redefining how communities operate, transact, and settle.”

MGCOne’s vision for the future of community management eliminates manual systems in favor of a unified ecosystem, driven by core transformations:

1. Immutable Property Records: Bringing Deeds On-Chain
Today, property titles are scattered across fragmented county and state systems, creating risk of error, fraud, delay, and costly title insurance. MGCOne envisions deeds recorded on a public or permissioned blockchain ledger, creating immutable, real-time record of ownership, liens, and association restrictions that stakeholders can instantly verify—dramatically reducing title-search friction and delivering greater transparency for boards and management companies. Many states and counties have already started implementing blockchain-based title management.

2. Tokenized Ownership: Creating Liquidity and Real-Time Visibility
MGCOne envisions tokenization to modernize the rigid, capital-intensive home-buying process by converting property equity into blockchain-based digital assets. Properties could be bought and sold in whole or fractional interests through smart contracts, creating greater liquidity while giving community associations real-time visibility into ownership, membership, and voting rights.

3. Same-Day Settlement: Closing in Hours, Not Months
The standard 60-to-90-day real estate closing cycle is driven by fragmented banking, escrow, and manual verification processes. MGCOne envisions same-day settlement powered by stablecoins (cryptocurrency pegged to fiat currency like the US Dollar) and smart contracts: once a buyer’s digital funds are verified on-chain, payment, title transfer, and transaction finalization occur simultaneously reducing delays, friction, and counterparty risk.

4. On-Chain Association Finance: Automating Accounts Receivable and Payable
In traditional management companies, accounting teams spend hundreds of hours processing assessments, chasing delinquencies, reconciling bank lockboxes, routing vendor invoices, and cutting checks. Within MGCOne’s broader blockchain vision, these manual A/R and A/P workflows become automated, on-chain processes powered by programmable money. Smart contracts can collect dues, trigger late-fee alerts, release approved vendor payments, and reconcile transactions in real time—reducing administrative work, delays, and errors.

5. Instant Estoppel Verification: Removing a Closing Bottleneck
Manual estoppel and resale certificates stall closings. Legacy SaaS platforms aren’t built for same-day settlement. MGCOne’s blockchain framework secures community records on an immutable blockchain, enables real-time, single-click verification. Buyers, lenders, and managers can instantly validate a unit’s standing with total accuracy, turning a multi-week delay into a seamless, zero-delay transaction.

6. Beyond SaaS: A Unified Blockchain Operating System
Today’s property management is plagued by a costly, fragmented web of disconnected systems. MGCOne unifies accounting, operations, and governance onto a secure blockchain ledger. Instead of synchronizing fragile apps, the transaction itself becomes the definitive source of truth.

Crucially, since the association owns its data within MGCOne, changing management providers is now frictionless. Instead of costly data migrations or lost records, communities simply transfer secure access to the new provider—keeping history and operations instantly intact. MGCOne doesn’t just replace legacy SaaS; it delivers a permanent, unified operating system for the community.

7. Association-Centric Ecosystem: Putting the Community at the Center
Historically, property management software has been built around management companies, leaving community associations dependent on vendor-controlled systems and proprietary data silos. MGCOne’s unified operating system shifts control back to the association by making it the central owner of its records, identity, workflows, and service relationships.

In this association-centric model, service providers like management companies, vendors, insurers, utilities, financial institutions, and service providers operate on the association’s secure blockchain core. If one provider changes, the community’s infrastructure remains intact preserving its data, history, rules, and resident experience while giving the association greater autonomy, continuity, and control. It also eases the transition process for service providers.

8. Autonomous Community Operations: Extending the Platform into the Physical World
MGCOne extends its operating system beyond digital workflows to drive physical operations. Associations can now coordinate autonomous tools—such as drones, sensors, and robotics for maintenance, inspections, landscaping, and security, hence eliminating dependency on managers.

Acting as the central nervous system, MGCOne connects community data, smart contracts, and autonomous assets. A simple trigger, like a weather event or rule change, can automatically initiate tasks, verify completion, and route payments through the same secure ledger. Ultimately, the digital infrastructure doesn’t just record activities—it coordinates real-time community maintenance. The result is a responsive, efficient, and transparent operating model.

9. The Orchestration Layer: Unifying Blockchain, AI, and Operations
MGCOne serves as the orchestration layer that unifies smart contracts, tokenized settlements, and autonomous physical operations into a single platform. Within this ecosystem, the blockchain provides a trusted foundation – a secure, immutable ledger for all records, governance, and payments. Operating above it, AI acts as the intelligence layer, leveraging this definitive data to seamlessly monitor and coordinate real-time action.

The vision is simple: MGCOne connects the ecosystem, blockchain secures and validates it, and AI activates it—delivering an intelligent, association-controlled operating environment for next-generation community management.

Patent-Backed Foundation for MGCOne’s Vision
This vision is supported by MGCOne’s intellectual property portfolio, including U.S. Patent No. 12,443,952 for its blockchain-based community association management platform. The patent reinforces MGCOne’s early leadership in applying blockchain, tokenization, and decentralized ledger technology to residential community operations.

With this proprietary framework, MGCOne is positioned to help guide the industry’s transition towards a secure, transparent, and automated association management ecosystem.

Pioneering a Collaborative Blockchain Future
The community management ecosystem will not adopt decentralized infrastructure overnight. Bridging the gap between today’s legacy SaaS limitations and tomorrow’s decentralized ecosystem requires a practical, non-disruptive transition path. With its patent-backed blockchain framework, MGCOne is uniquely positioned to lead this evolution by unifying records, workflows, payments, governance, and AI-enabled automation into a single infrastructure.

To accelerate this industry-wide shift, MGCOne is opening its foundational intellectual property to existing management companies and software providers through strategic partnerships and M&A. This collaborative approach ensures a structured transition, empowering the entire sector to seamlessly cross the bridge together into a faster, transparent, and association-controlled future.

For more information about MGCOne and its blockchain initiatives, please visit: www.mygreencondo.net. 

Relevant Previous Press Releases:

MGCOne – “Amazon of Community Management”: Introducing the centralized marketplace model for community operations.The Upcoming Obsolescence of Legacy SaaS Applications: Why the shift to association-owned tech is making traditional models redundant.Invites Community Management Companies to Join the Blockchain Revolution: A call to action for the industry to adopt decentralized standards.Patented MGCOne Blockchain Solving the “Continuity Crisis” in Community Management

About My Green Condo Inc. (MGCOne)
My Green Condo Inc. is a premier SaaS powerhouse delivering cutting-edge, end-to-end community management solutions globally. Founded by visionary former Wall Street bankers and seasoned association board members, the company is a disruptive innovator dedicated to transforming the property management landscape.

The company’s flagship platform, MGCOne, is the industry’s first patented, association-centered operating system. Engineered to elevate community living and modernize governance, MGCOne empowers property managers, board members, and residents through advanced automation and seamless communication. The platform grants communities’ absolute control over their data, financial ledgers, and operational continuity.

Leveraging advanced blockchain infrastructure and next-generation AI, MGCOne centralizes operations into an ultra-secure “System of Record.” Inspired by the Amazon marketplace model, it delivers unprecedented transparency, robust security, and independence for residents, board members, and service providers alike.

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SOURCE My Green Condo Inc.