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TwelveLabs to Bring Its State-of-the-Art Video AI Models to Amazon Bedrock

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Latest collaboration enables developers to leverage TwelveLabs’ video understanding capabilities to create new applications with the security, privacy, and performance of AWS

LAS VEGAS, April 6, 2025 /PRNewswire/ — Amazon Web Services (AWS), an Amazon.com, Inc. company and TwelveLabs, the video understanding company, today announced that TwelveLabs’ state-of-the-art multimodal foundation models, Marengo and Pegasus, will soon be available in Amazon Bedrock. Amazon Bedrock is a fully managed service that offers developers access to high-performing models from leading AI companies through a single API. Seamless access to TwelveLabs’ advanced video understanding capabilities will enable developers and enterprises to transform how they search, analyze, and generate insights from video content, leveraging the security, privacy, and performance of AWS. AWS is the first cloud provider to offer models from TwelveLabs.

“This integration with Amazon Bedrock represents the next phase in our collaboration with AWS, making our video understanding AI more accessible to enterprises worldwide,” added Lee.

“Video contains nearly 80% of the world’s data, yet most of it remains unsearchable and underutilized,” said Jae Lee, Co-founder and CEO of TwelveLabs. “By making our models available through Amazon Bedrock, we’re empowering even more enterprises to bring video understanding to their existing infrastructure. Our technology enables users to search across their entire content library—from videos collected 10 years ago or 10 minutes ago—to find the precise moment they’re looking for in less than a single second, and then interpret and analyze those moments. This opens the door for all kinds of novel uses. Through the collaboration with AWS, we can extend powerful capabilities to customers and accelerate innovation across industries.”

Advanced AI Video Capabilities

Video is commonly regarded as one of the world’s largest unsearchable data sources, yet TwelveLabs’ cutting-edge technology turns it into a trove of accessible information. Whether it’s giving a sports network the ability to instantly pull every instance of a specific play style or commentator reaction or helping a broadcaster identify recurring themes across large volumes of footage, TwelveLabs helps teams turn their video archives into usable, indexable assets, unlocking both operational efficiency and new revenue opportunities.

TwelveLabs overcomes the inherent complexities associated with video understanding to allow customers to search video across all modalities. Specifically, TwelveLabs delivers:

Natural language video search that pinpoints precise content momentsDeep video understanding without requiring pre-defined labelsMultimodal AI processing visual, audio, and text simultaneouslyTemporal intelligence connecting related events across timeEnterprise solutions scaling extensive video libraries into accessible knowledge

“At MLSE, we are defining the future of the sports and entertainment business. Innovation is in our DNA, and we’re leading the charge in shaping what comes next. With powerful tools like Amazon Bedrock and TwelveLabs’ AI models supporting our vision, we’re accelerating our ability to create smarter, more immersive experiences for fans.” said Humza Teherany, Chief Strategy and Innovation Officer at Maple Leaf Sports & Entertainment.”

Unlocking the Power of Video Understanding for AWS Customers

With Marengo and Pegasus available in Amazon Bedrock, AWS customers can use TwelveLabs’ models to build and scale generative AI applications without managing underlying infrastructure. Using Amazon Bedrock, customers gain access to a broad set of capabilities while maintaining complete control over their data, benefiting from enterprise-grade security and utilizing cost control features—all essential for deploying AI responsibly at scale.

TwelveLabs’ fully managed, serverless models in Amazon Bedrock allow developers to:

Create applications that search through videos, classify scenes, summarize content, and extract insights using natural languageBuild sophisticated video understanding features without specialized AI expertiseScale video processing from small collections to massive libraries with consistent performanceDeploy solutions with enterprise-grade security and governance controls

“Video understanding is revolutionizing how industries like media & entertainment, sports, automotive, and education work with and discover content,” said Samira Panah Bakhtiar, General Manager of Media & Entertainment, Games, and Sports at AWS. “Over the last year, I have consistently said that natural language semantic search is a ‘strategic unlock’ for our entertainment customers, as they reexamine their existing intellectual property and breathe new life into it. By bringing TwelveLabs’ advanced models to Amazon Bedrock, we’re helping our customers make sense of any video moment, unlocking the full value of their treasured video assets. Businesses will now be able to easily search, categorize, and extract insights from their vast video libraries, enabling new use cases and better user experiences that were previously impossible without significant technical expertise.”

The integration will benefit multiple industries, from media, entertainment, advertising and beyond. For example:

Film and TV Studios can rapidly manage video workloads from dailies, content repacking, and archive managementSports Leagues and Teams can efficiently create match highlights and create customized fan focused content at scaleNews Agencies and Broadcasters can quickly manage large libraries to find the moments that matterStreaming services can better package and distribute content across platforms and more effectively insert relevant video ads

AWS and TwelveLabs’ integration partner Monks expressed their excitement: “We’ve been putting AI to work across the entire video value chain for IP holders, broadcasters and brands. TwelveLabs in Amazon Bedrock makes it easier to realize opportunities for monetization in broadcast news, entertainment and sports by making it simpler and more secure to build and scale applications with powerful video understanding,” said Lewis Smithingham, EVP Strategic Industries at Monks.

Expanding Collaboration Between AWS and TwelveLabs

This announcement builds on a strong existing relationship between AWS and TwelveLabs and continues the momentum of their Strategic Collaboration Agreement (SCA). TwelveLabs is working with AWS to accelerate the development of its foundation models, deploy its advanced video understanding foundation models across new industries, and enhance its model training capabilities using Amazon SageMaker HyperPod. With the reliable and scalable infrastructure offered by SageMaker HyperPod, TwelveLabs has accelerated model training while reducing training costs.

“This integration with Amazon Bedrock represents the next phase in our collaboration with AWS, making our video understanding AI more accessible to enterprises worldwide,” added Lee.

To learn about TwelveLabs’ industry leading models, please explore twelvelabs.io, Marengo 2.7 and Pegasus 1.2. Find out more about TwelveLabs models in Amazon Bedrock here.

About TwelveLabs

TwelveLabs uses multimodal foundation models to bring human-like understanding to video data. The company’s foundation models map natural language to what’s happening inside a video, including actions, objects, and background sounds, allowing developers to create applications that can search through videos, classify scenes, summarize, and extract insights with unprecedented accuracy. Headquartered in the US, TwelveLabs serves customers across media, entertainment, sports, advertising, and government. For more information, visit www.twelvelabs.io

Media Contact

Amber Moore, Moore Communications, 1 5039439381, amber@moorecom2.com, Moore Communications

View original content to download multimedia:https://www.prweb.com/releases/twelvelabs-to-bring-its-state-of-the-art-video-ai-models-to-amazon-bedrock-302421510.html

SOURCE TwelveLabs

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BC Token Hits $0.02, Setting a New All-Time High

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July 23, 2026

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$BC has risen nearly 70% since April as BC Engine continues to expand the token‘s utility across the BC.GAME ecosystem

BELIZE CITY, Belize, July 22, 2026 /PRNewswire/ — BC Token ($BC), the ecosystem token of BC.GAME, reached $0.02 on July 23, setting a new all-time high and extending its recent upward price movement.

According to CoinGecko, $BC reached the $0.02 milestone after moving steadily into a higher price range over the past several weeks. The token previously recorded a high of around $0.01561 on July 17 before continuing its upward movement.

Compared with its price of approximately $0.01181 on April 12, $BC has increased by nearly 70%. The latest milestone is also part of a series of new price records reached by the token since the launch of BC Engine in April.

Alongside the price growth, BC.GAME has continued to expand the practical use of $BC across its platform ecosystem.

Through BC Engine, users can allocate eligible $BC to the platform’s reward system and receive BCD rewards distributed on an hourly basis. Users can also view their allocated tokens, accumulated rewards and participation data directly through the BC Engine interface.

The system is designed to connect $BC participation with activity generated by products and partners across the wider BC.GAME ecosystem.

BC Originals, Croco Gaming and sports betting technology provider BETBY have already been integrated as Engine Nodes. Contributions from participating products and partners help support the BC Engine reward pool, creating a direct connection between platform activity, user participation and token utility.

“Reaching $0.02 is an important milestone for $BC, but price is only one part of the ecosystem’s continued development,” a BC.GAME spokesperson said. “Our focus remains on expanding the token‘s practical uses and connecting it more closely with products, rewards and user participation across the platform.”

The $BC ecosystem also includes separate buyback and token-burning mechanisms.

A portion of the tokens acquired through BC.GAME’s ongoing buyback activity may be redistributed to eligible active users through features such as Instant Bonus. The buyback programme operates separately from the token-burning mechanism.

Token burning is primarily connected to the BC Engine unlocking process. When users unlock $BC less than seven days after allocating it to BC Engine, 1% of the unlocked amount is permanently burned. Users who wait at least seven days can unlock the full amount without triggering a burn.

BC.GAME plans to introduce additional products and Engine Nodes while continuing to improve the visibility of reward distributions, token burns and other related on-chain activity.

The platform will also explore further uses for $BC across original games, sports betting and digital-asset reward experiences as the ecosystem continues to develop.

More information about BC Engine and the $BC ecosystem is available at bc.game/bc.

View original content to download multimedia:https://www.prnewswire.com/news-releases/bc-token-hits-0-02–setting-a-new-all-time-high-302832793.html

SOURCE BC.GAME

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BinBase Enhances 2026 USA BIN Intelligence for Durbin Compliance, Debit Network Routing, and Level 2/3 Interchange Savings

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July 23, 2026

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BinBase updates its US payment dataset with advanced Durbin Regulation flags, ATM/Debit network routing indicators, and Level 2/3 commercial card markers to help merchants significantly reduce processing fees.

MIAMI, July 22, 2026 /PRNewswire-PRWeb/ — BinBase, a leading provider of card issuing and payment analytics data, has announced major US-focused updates to its 2026 BIN Database. Designed specifically for payment facilitators (PayFacs), US acquiring banks, and enterprise e-commerce merchants, the updated dataset targets one of the largest operational costs in payment processing: transaction interchange fees.

In the competitive US payment ecosystem, a fraction of a percent in interchange savings translates to millions of dollars for merchants. BinBase provides the exact data needed for dynamic cost-optimizing routing.

Processing credit and debit cards in the United States requires navigating complex regulatory framework and network rules. A critical element is the Durbin Amendment, which caps interchange fees on debit cards issued by regulated US banks (institutions with $10 billion or more in assets). Without precise, updated BIN-level data, payment gateways frequently misidentify unregulated cards, leading to suboptimal routing and higher processing fees.

The updated BinBase dataset addresses this challenge by providing dedicated attributes for US processing optimization:

Durbin Regulation Identification: Instant Y/N status markers allowing payment gateways to dynamically detect US regulated debit cards and apply appropriate cost structures.US Debit & ATM Network Routing: Granular routing indicators for major US PIN-debit and PINless networks, including STAR, NYCE, Pulse, and Accel, empowering payment routing engines to choose the most cost-effective path.Commercial Data Eligibility (Level 2 / Level 3): Precise identification of corporate, business, and purchasing cards eligible for Level 2/3 line-item processing, helping B2B merchants lower interchange rates on corporate transactions.Personal vs. Commercial Usage Classification: Clear distinction between consumer and corporate card ranges to prevent fee misclassification at checkout.

“In the competitive US payment ecosystem, a fraction of a percent in interchange savings translates to millions of dollars annually for high-volume merchants,” said a spokesperson for Damiko Inc. “By combining Durbin status with US debit network data and extended 8-to-11-digit precision, BinBase provides payment engineers with the exact surgical data needed to build smart, cost-optimizing routing engines.”

To evaluate the US-specific data attributes and test integration compatibility, developers can inspect the schema and download the free 2026 sample dataset on GitHub.

For complete commercial licensing, custom data exports, and enterprise integration details, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133333, sales@binbase.com, www.binbase.com

View original content:https://www.prweb.com/releases/binbase-enhances-2026-usa-bin-intelligence-for-durbin-compliance-debit-network-routing-and-level-23-interchange-savings-302829300.html

SOURCE BinBase

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InfiMotion Technology Makes Public Debut, Showcasing Full-Stack E‑Drive Capabilities at Wuxi Event

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July 23, 2026

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WUXI, China, July 22, 2026 /PRNewswire/ — InfiMotion Technology (InfiMotion), a global innovator in intelligent e‑drive systems, hosted a technology showcase event in Wuxi on July 16, marking its first public appearance as an independent supplier to the global automotive industry. The event demonstrated the company’s end‑to‑end capabilities spanning global R&D, extreme validation, and micron‑precision manufacturing – solidifying its position as a rising force in the new‑energy vehicle (NEV) drivetrain sector.

“Let the world know InfiMotion” said Joe Lin, CEO of InfiMotion Technology. “We have spent years perfecting our e‑drive technology for leading global automakers, and we are now ready to stand on our own as a trusted partner for the wider market.”

Cloud-Synced Global R&D: Engineering Without Borders

InfiMotion’s R&D network spans Wuxi, Shanghai, Ningbo, Hangzhou, and Gothenburg, with over 1,000 engineers – including a Swedish team of over 100 people – collaborating in real time via the cloud. This global footprint is built around real-world extremes: high-load endurance on European autobahns, Nordic cold starts, and tropical full-load operation in Southeast Asia – scenarios that directly shape InfiMotion’s globalization DNA.

A Track Record of Industry “Firsts”

InfiMotion’s technical pedigree speaks for itself:

2021: Pioneered China’s first self-developed 400V SiC EDU for ZEEKR 001.2024: Launched the world’s first 11-in-1 domain-controlled EDU, achieving over 90% CLTC efficiency on a 400V IGBT platform.2025: Released the world’s first mass-produced magnesium-aluminum alloy dual-motor EDU and the world’s first 900V high-performance magnesium-alloy coaxial EDU – delivering 5,200 Nm peak torque at just 77 kg net weight.

The company has also pioneered Umini-pin winding, 0.2mm ultra-thin silicon steel laminations, embedded and three-level PCM technologies, and is leading the formulation of industry standards for amorphous alloy materials.

Tested to the Extreme – Certified for Global Trust

InfiMotion adheres to ASPICE Level 3 processes and ASIL-D (ISO 26262) certification. Its validation system includes temperature cycling from -60°C to 140°C, 1,500-hour salt-spray tests, and 2,500-hour comprehensive endurance runs – with over 9,000 individual test items required for one European premium brand. The company’s CNAS-accredited testing center houses the world’s first 30,000 rpm motor test bench.

Manufacturing at Micron-Level Precision

InfiMotion operates five smart manufacturing bases across China (Wuxi, Hangzhou, Ningbo, Quzhou, and Jiaxing), with motor line automation reaching 95%. SMT accuracy is held to ±25μm, measurement instruments resolve down to 0.1μm, and an AI-driven visual inspection system detects defects as small as 20μm.

From Wuxi to the World

Today, InfiMotion supplies e-drive systems across the full voltage spectrum (400V–900V) for all vehicle classes, from A0 to supercars. Its global network spans China, Europe, and Malaysia, with vertical integration from key components to complete system. In the first half of 2026, the company ranked among China’s top three suppliers for both motor and inverter shipments, with volume production already serving Geely, Volvo, and JLR.

The InfiMotion Era Has Just Begun

As the global NEV industry undergoes profound transformation, InfiMotion remains committed to full-stack in-house R&D, global collaborative synergy, and open-win partnerships – delivering proven, traceable, and mass-producible Chinese e-drive solutions to the world.

About InfiMotion Technology

InfiMotion Technology is a global leader in the R&D and manufacturing of advanced electric drive systems and components for new energy vehicles. Committed to innovation, performance, and sustainability, InfiMotion provides comprehensive solutions empowering automakers to create the next generation of efficient, powerful, and intelligent electric vehicles.

For more information, please visit: www.infimotion.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/infimotion-technology-makes-public-debut-showcasing-full-stack-edrive-capabilities-at-wuxi-event-302832804.html

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