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51WORLD Unveils Two Embodied AI Products and Reveals Aerospace Strategy from Low Altitude to Deep Space

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BEIJING and SHENZHEN, China, Aug. 19, 2026 /PRNewswire/ — On August 18, 51WORLD, a Hong Kong-listed company (stock code: 6651.HK), held its “Physical AI Master Plan 2030” launch event. At the event, the company introduced two core products: AperData, an embodied data infrastructure, and AperOne, an embodied application platform. 51WORLD also disclosed for the first time a three-tier aerospace strategy covering “low-altitude, space and deep space,” laying out a full-stack business footprint that stretches from ground-based operations to outer space.

AperData: An Integrated Hardware-Software Data infrastructure that Turns Embodied Data Standards into Measurable Metrics

One of the embodied AI sector’s biggest bottlenecks today is data scarcity, compounded by the lack of a unified, practical standard for data quality. Industry estimates suggest that leading embodied-AI companies need about 1 million hours of high-quality data each year, while they can generate only a little over 100,000 hours internally, leaving a supply gap of roughly 10x.

AperData is positioned as a data infrastructure for embodied AI. It targets the shortage of training and validation data with a collection system that closes the loop from data capture to model training, improving both collection precision and efficiency.

At the event, 51WORLD announced a strategic joint venture with Union Image to focus on embodied data infrastructure. The debut product suite includes AperEgo and AperOS, an integrated hardware-software collection system that creates an end-to-end loop from data capture through training.

The first-generation product is available immediately, with an introductory price of RMB 5,100 per set. On the hardware side, AperEgo is a head-mounted collection device that can be worn by operators at work sites. It supports synchronized multi-sensor data acquisition, preliminary edge-side processing and filtering, and both task-based and opportunistic collection modes. On the software side, AperOS provides a full-lifecycle data loop and can deliver standardized trainable datasets. It supports cloud or private deployment, while the open platform supports customization and secondary development.

After raw captured data is processed through AperEgo x AperOS, the delivered data can reach 99% physical consistency in trajectory, while efficiency can improve by more than 10x compared with traditional teleoperation at the same cost.

51WORLD also released a five-year roadmap for AperData. In 2026, it plans to mass-produce the first-generation head-mounted data-collection kit and complete toolchains for baseline data annotation and quality inspection. From 2027 to 2029, the hardware side will gradually add multimodal full-body data-collection suits with force feedback and haptic gloves, lightweight wireless collection devices, and high-precision dexterous-hand collection terminals. On the software side, it will build a multimodal data-fusion platform spanning vision, force and pose; an AI-powered automatic annotation and scene-generation engine; and a simulation-enhanced data loop. By 2030, AperData aims to realize a fully automated data factory, a data engine for embodied foundation models, a globally distributed collection network, and adaptation kits for multiple robotic embodiments.

AperOne: A Five-Stage, Full-Chain Closed Loop that Brings Robots into Real World

If AperData addresses the supply of data, AperOne tackles the industry’s last-mile problem: enabling robots to truly take up work in real environments.

The robotics industry has long faced a gap between flawless lab performance and faltering operations in complex field environments. The underlying challenge is that real-world scenarios are highly complex and the cost of trial is high. AperOne is positioned as an embodied-application closed-loop OS platform. It builds a complete loop across reconstruction, training, evaluation, deployment and operations, addressing the difficulty of robot deployment and low fault tolerance.

The solution has already been validated in both general-purpose and specialized scenarios, including parks, venues, shopping centers, power stations, mines and factories. In a general-purpose setting, a national-level conference center used digital twins and spatial intelligence to support centimeter-level spatial computation and layout planning in seconds, enabling robots to conduct autonomous inspection, reception, and multi-agent cooperative moving, arrangement and setup of tables and chairs. In a specialized setting, a leading smart factory in Southwest China used digital twin reconstruction and a unified command screen to support robot inspection and monitoring of hazardous sources, gas and dust simulation, confined-space reconnaissance, pipeline-corridor inspection, and emergency coordination.

From parks to power stations and from shopping centers to mines, AperOne is moving embodied AI from “able to demo” to “able to work,” and is validating a standardized path for scaled real-world deployment.

51WORLD has already formed partnerships with leading vendors including Deep Robotics, Galbot, Sevnce Robotics, Beijing Innovation Center of Humanoid Robotics, Gausium Robotics, GigaAI, Yimu Technology, BeingBeyond and SEER Robotics. Together, the companies aim to help hundreds of millions of embodied robots enter the physical world by 2030.

Aerospace Strategy: Extending the Boundaries of Physical AI from Low-Altitude Airspace to Deep Space

Another major highlight of the event was 51WORLD’s first disclosure of its three-tier aerospace strategy covering “low-altitude, space and deep space,” extending the application boundary of Physical AI from the ground to deep space.

At the low-altitude layer, 51WORLD is working with Insta360 to build a digital airspace simulation and test-flight assurance platform for low-altitude aircraft, enabling every eVTOL takeoff to be rehearsed first in the digital world. At the space layer, it is partnering with Huantian Wisdom around the collection of high-precision satellite remote-sensing data and the reconstruction of “physics-ready” data assets, and the two parties jointly customized the world’s first commercial remote-sensing satellite designed specifically for Physical AI training and simulation applications: Earth Clone Star “ECS-1.” At the deep-space layer, 51WORLD is collaborating with the Deep Space Exploration Lab to move Mars and lunar exploration missions into the digital world, enabling advance simulation and mission rehearsal for deep-space tasks.

Overall, 51WORLD has built a three-layer Physical AI capability stack. Upstream, it works with chip and compute partners to build an industry foundation. At the middle layer, its closed-loop capabilities around “model + simulation + data” provide the core support. Downstream, it covers multiple application scenarios including autonomous driving, embodied AI and aerospace exploration. This full-stack system not only supports 51WORLD’s own business implementation, but is also gradually becoming common infrastructure for the broader Physical AI industry.

51WORLD’s Physical AI strategic blueprint toward 2030 is also clear: starting in 2015, the company has gradually built a product and business matrix that extends from autonomous driving to embodied AI and then to aerospace exploration, with addressable market opportunities moving from the hundreds-of-billions scale to the trillions. As this strategy is implemented, 51WORLD’s platform value and valuation framework are likely to be reassessed.

About 51WORLD

Beijing 51WORLD Digital Twin Technology Co., Ltd. (51WORLD, Stock Code: 6651.HK), founded in February 2015, is China’s first core infrastructure enterprise for “Physical AI” listed on the capital market. With the vision of “cloning the Earth’s 510 million square kilometers,” the company is dedicated to building a bridge between the digital and physical worlds.

In terms of industry standards development, 51WORLD’s 51Sim business has continued to participate in ASAM-related standardization work since 2018, taking an in-depth role in the formulation and evolution of core standards including OpenSCENARIO, OpenMATERIAL 3D and Test Specification.

In terms of financial performance, according to 51WORLD’s 2026 interim results announcement, for the six months ended June 30, 2026, the company recorded revenue of approximately RMB124 million, up 129.8% year on year; gross profit of approximately RMB55.39 million, up 150.3% year on year; and a 25.5% year-on-year narrowing of loss for the period. Among its businesses, 51Sim revenue grew 545.2% year on year, with its revenue contribution rising from 14.8% in the same period last year to 41.4%, making it a core growth engine for the company.

View original content:https://www.prnewswire.com/news-releases/51world-unveils-two-embodied-ai-products-and-reveals-aerospace-strategy-from-low-altitude-to-deep-space-302855142.html

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Relativity Networks Raises $22M and Lands $40M Hyperscaler Contract to Power the AI Geography Era

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The financing follows a manufacturing milestone with Prysmian: The highest-density hollow-core fiber cable produced by the companies to date, built on Relativity Networks’ ChronoCore™ technology.

ORLANDO, Fla., Aug. 19, 2026 /PRNewswire/ — Relativity Networks, the company defining the networking layer for distributed AI, today announced a set of financial, technical, and commercial milestones that mark its emergence as a commercial supplier of AI infrastructure.

The company raised a $22 million SAFE investment (a simple agreement for future equity), more than double its target, in a round drawn by new investors including Rhapsody Venture Partners, Bell Ventures Inc., and Faster Than Glass LLC.

Relativity Networks also secured a $40 million follow-on order from a leading hyperscaler after the customer successfully tested Relativity Networks’ ChronoCore™ advanced optical networking technology linking two data centers.

In a joint project with Prysmian, the global leader in fiber production, Relativity Networks produced its highest-density hollow-core fiber cable to date: 24 fibers in a single 10-millimeter cable. In testing with Dura-Line, the cable was installed reliably in standard microducts, confirming the high-density cable’s readiness for real-world deployment.

The cable provides 24 low-latency pathways to connect AI data centers over greater distances than conventional glass fiber allows. That reach is increasingly decisive for hyperscalers, whose primary constraint is no longer computing capacity but access to electrical power.

As AI infrastructure expands beyond individual campuses in search of available power, geography is becoming a first-order constraint on AI scaling. Relativity Networks calls this shift the AI Geography Era. Connecting distributed compute across greater distances introduces an unavoidable latency penalty — the Propagation Tax — that cannot be eliminated by switches, software, or protocols.

“AI is no longer scaling inside a data center. It is scaling across geography”  said Jason Eichenholz, founder and CEO of Relativity Networks. “The next great AI infrastructure challenge is making thousands of distributed GPUs behave like one machine, even when the power they depend on is miles apart. ChronoCore™ is purpose built for that world, giving hyperscalers the low-latency connectivity needed to scale AI wherever power is available.”

ChronoCore™ hollow core fiber is produced at Prysmian’s facility in Eindhoven, the Netherlands, and cabled at Prysmian’s plant in Claremont, North Carolina. Couplers, fiber characterization, installation training are performed in Orlando Florida.

“Relativity Networks changes where AI infrastructure can be built,” said Carsten Boers, Managing Partner at Rhapsody Venture Partners. “Power availability is the key constraint on data center placement. ChronoCore carries light roughly 47% faster than solid-core glass fibers, so distributed sites can sit that much farther apart within the same latency budget – more than doubling the area an operator can build in. It’s deployed today, validated with partners like Prysmian, and the order book is well ahead of our expectations. We’re thrilled.”

“As AI continues to reshape the digital economy, new approaches to infrastructure will be needed to support growing performance, scale and connectivity requirements,” said Martin Cossette, Head of Bell Ventures. “Investing in innovative companies helping address these challenges is an important part of Bell Ventures’ strategy. Relativity Networks has assembled a strong team and a bold vision for the future of AI infrastructure, and we are pleased to support the company’s next stage of growth.”

These milestones coincide with the release of a new Relativity Networks white paper, The AI Geography Era, which examines the architectural shift taking place as AI infrastructure expands across geographically distributed campuses in search of available power. The paper introduces the Propagation Tax, the unavoidable latency cost of distance, and explores why geography has become a first-order design constraint for the next generation of AI infrastructure. Read the full white paper here.

About Relativity Networks

Relativity Networks builds the advanced optical networking technology that distributed AI depends on. At its core is the company’s patented ChronoCore™ hollow core fiber. ChronoCore™ guides light through an air core far closer to the speed of light in a vacuum — roughly 47 percent faster than with  conventional glass — so data travels faster and farther with no loss of network performance. Hyperscalers use ChronoCore™ to site AI data centers closer to available power and to connect separated campuses while meeting exacting data-transmission latency requirements. ChronoCore™ integrates with existing infrastructure, creating immediate expansion options for distributed AI. Learn more at www.relativitynetworks.ai.

 

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Reseda Group, Goodbuy Partner to Connect Credit Union Members with Local Small Businesses

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EAST LANSING, Mich., Aug. 19, 2026 /PRNewswire/ — Reseda Group, a wholly owned credit union service organization of MSU Federal Credit Union (MSUFCU), today announced it is investing in Goodbuy, a groundbreaking community commerce platform to connect credit union members with local small businesses in a way that drives economic growth and local impact.

The investment expands Reseda Group’s growing portfolio of innovative fintech companies while providing credit unions with a new opportunity to strengthen relationships with both consumer and business members. Through Goodbuy’s white-label marketplace, credit union members can discover and receive exclusive offers at participating local businesses, while credit unions gain a powerful platform to grow small-business relationships, increase deposits, drive card usage, and deepen community engagement.

“Small businesses are the backbone of credit union communities, but most credit unions have had no real way to show up for them beyond holding the account,” said Ben Maxim, Chief Operating Officer at Reseda Group and Chief Technology Officer at MSUFCU. “Goodbuy gives credit unions a practical way to drive growth for their business members. That’s why Reseda Group decided to invest. We see this as an important part of the ecosystem’s future.”

Goodbuy helps credit unions grow small-business deposits, engagement, and relationships by connecting members with local businesses in the communities they serve. Through its Community rewards platform, credit unions can acquire new small-business relationships, deepen existing ones, increase card usage, and strengthen member loyalty — all while transforming local business engagement into a measurable growth strategy.

The partnership reflects a shared vision that the future of community banking lies in strengthening local economies. By building a Community rewards ecosystem, credit unions can create meaningful connections between members and small businesses while providing marketing support, visibility, and engagement opportunities that help local businesses thrive. The result is a stronger local economy, more engaged members, and a unique competitive advantage for participating credit unions.

“Becoming part of the Reseda Group ecosystem is an exciting milestone for Goodbuy,” said Cara Oppenheimer, CEO and Co-Founder of Goodbuy. “Our vision is to create a nationwide network where consumers can support local businesses knowing their credit union is investing in their success. Together, we’re bringing the credit union philosophy of ‘people helping people’ to life in a way that delivers measurable ROI — helping credit unions grow small business relationships, deepen member engagement, and drive account growth. At a time when banks compete on rates and marketing spend, strengthening local communities is a powerful differentiator for the credit union movement, and we’re proud to help turn that into a measurable competitive advantage.”

Unlike traditional rewards programs, Goodbuy addresses a gap in the financial services market by delivering a comprehensive community-based rewards and engagement platform specifically designed to help small businesses grow. Because Goodbuy is white labeled under the credit union’s own brand, members experience the savings as coming from their own credit union, reinforcing the relationship rather than competing with it. The solution enables credit unions to differentiate themselves from traditional banks by becoming trusted growth partners for local entrepreneurs while delivering tangible value to members.

The investment reflects Reseda Group’s continued commitment to identifying and scaling innovative fintech solutions that strengthen financial institutions; empower local businesses; and create transformative financial success for people, communities, and businesses. For more information about Reseda Group’s ecosystem of collaboration and innovation, visit resedagroup.com/ecosystem.

About Reseda Group

Headquartered in East Lansing, Michigan, Reseda Group is a wholly owned credit union service organization of MSU Federal Credit Union (MSUFCU). Formed in 2021, Reseda Group changes the way people interact with their finances and how financial institutions engage with their consumers. By leveraging innovative products developed in-house and through its partnership ecosystem, Reseda Group is making financial technology and engagement solutions more accessible and approachable to the industry. Learn more at resedagroup.com.

About Goodbuy

Goodbuy helps business and marketing leaders at credit unions grow SMB deposits and engagement by closing the gap between their member base and the local business community. Through Community rewards marketplace, credit unions acquire new small-business relationships, reactivate underutilized ones, increase card spend, deepen member engagement, and strengthen loyalty. By turning local business relationships into a measurable growth engine, Goodbuy enables credit unions to grow a more active, profitable, and competitive small-business portfolio. Visit trygoodbuy.com to learn more.

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Keeper Security Launches Certified Microsoft Power Platform Connector for Secrets Manager, Bringing Zero-Knowledge Credential Management to Azure Logic Apps

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Connector enables enterprise teams to retrieve and manage credentials at runtime within Azure Logic Apps and Power Automate, eliminating hardcoded secrets from automated workflows

CHICAGO, Aug. 19, 2026 /PRNewswire/ — Keeper Security, the leading zero-trust and zero-knowledge identity security platform, today announces the availability of a certified connector integrating Keeper Secrets Manager with Microsoft Azure Logic Apps. The connector, now published on the Microsoft Power Platform marketplace, enables enterprise teams to create and retrieve credentials at runtime directly within automated workflows without ever hardcoding sensitive values in flows.

As organizations scale workflow automation across cloud environments, secrets management has become a critical, and frequently overlooked, gap. Hardcoded credentials in automation scripts and workflows represent one of the most persistent and exploitable vulnerabilities in enterprise environments. The Keeper Secrets Manager connector for Azure Logic Apps addresses this directly, giving teams a zero-knowledge, policy-enforced path to secrets management inside Microsoft Power Platform.

“Workflow automation is only as secure as the secrets powering it, and most organizations are still hardcoding those secrets which creates massive cyber risk,” said Darren Guccione, CEO and Co-founder of Keeper Security. “This connector eliminates that exposure by bringing Keeper’s zero-knowledge architecture directly into the Microsoft automation layer: secrets stay encrypted in the vault and are retrieved only at the moment they are needed, so there is nothing hardcoded to steal.”

The connector operates through a lightweight Python middleware service deployed as an Azure Function App, communicating with the Keeper Vault via the Keeper Secrets Manager SDK. All secrets remain encrypted under Keeper’s zero-knowledge security architecture and are decrypted locally within the customer’s Azure environment – never transmitted in plaintext through Keeper’s infrastructure.

“The architecture here reflects a principle Keeper holds across the entire platform,” said Craig Lurey, CTO and Co-founder of Keeper Security. “Secrets should be decrypted as close to the workload as possible and only when needed. The Azure Function middleware gives customers a deployment model where the Keeper SDK runs inside their own Azure environment, their own key management handles the configuration and plaintext credentials are never in motion across a network boundary they do not control.”

Key capabilities of the Keeper Secrets Manager Connector for Azure Logic Apps

Certified connector: Integrates natively in the Logic App Designer with no custom import required for standard deployments.Runtime secrets retrieval: Fetches credentials on demand within any Logic App flow without storing them in the workflow definition.One-click deployment: Provisions all required infrastructure – including the Azure Function App, Key Vault and Managed Identity – in minutes using an Azure Resource Manager (ARM) template.Dynamic dropdowns: Auto-populates secret and folder pickers in the Logic App designer, reducing configuration error and accelerating deployment.Credential creation: Provisions secrets directly from automated workflows, supporting employee onboarding and scheduled compliance audits.

The connector supports five operations, including List Secrets, Get Secret, Create Secret, Update Secret and List Folders, covering workflows from API credential injection and database connection string retrieval to GitHub secret synchronization and vault compliance auditing.

The Keeper Secrets Manager connector for Azure Logic Apps is available now. Full documentation, the middleware repository and deployment instructions are available at docs.keeper.io.

About Keeper Security
Keeper Security is the leading zero-trust and zero-knowledge identity security solution, trusted by millions of people and thousands of organizations globally. KeeperPAM® is Keeper’s privileged access management platform that unifies password and passkey management, secrets management, privileged session management and endpoint privilege management in a single cloud-native platform, protected with quantum-resistant encryption. KeeperAI delivers real-time, AI-native threat detection across every privileged session. As AI agents proliferate and identity becomes the defining attack surface, Keeper governs access for humans, machines, non-human identities and AI agents, serving as the unified control plane for access, compliance and visibility across the enterprise. For more information, visit KeeperSecurity.com.

Learn more: KeeperSecurity.com
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Media Contact
Katherine Benfield
ICR for Keeper Security
KeeperSecurity@icrinc.com 

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