Tag: trust layer

  • Baselayer Secures $35M to Create a Trust Infrastructure for Autonomous AI Agents

    Baselayer Secures $35M to Create a Trust Infrastructure for Autonomous AI Agents

    Baselayer has raised $35 million in a funding round led by M13 to build what it describes as a ‘trust layer’ for artificial intelligence agents. The investment comes as enterprises increasingly rely on AI systems that can act autonomously and make critical decisions across business workflows.

    The new capital will support Baselayer’s efforts to develop infrastructure that provides AI agents with trusted business identity data, risk intelligence, and reliable decision-making capabilities. The platform aggregates business identity, people and ownership information, digital presence, and fraud, legal, credit, and compliance risk signals.

    Baselayer also introduced its Model Context Protocol (MCP), which gives AI agents direct access to the company’s business identity and risk intelligence. This system is designed to supply agents with evidence-backed context before they execute actions, reducing the risk of decisions based on incomplete or unreliable data.

    The company’s technology targets high-stakes workflows in compliance, procurement, finance, risk, and sales — areas where agentic AI is gaining traction but still requires robust controls around reliability and accountability. Customers can use Baselayer’s intelligence to verify businesses and associated individuals, conduct due diligence, monitor risk changes, and improve supplier evaluation.

    As AI agents move from answering questions to taking autonomous actions, questions of identity, accountability, and trust become paramount. Baselayer’s latest funding aims to close the infrastructure gap and support the emerging agentic economy.

  • OpenMatter Network Launches Cryptographic Verification Platform for Secure AI Collaboration

    OpenMatter Network Launches Cryptographic Verification Platform for Secure AI Collaboration

    OpenMatter Network has unveiled a cryptographically verifiable platform designed to enable secure collaboration and AI governance, addressing the growing need for trustless verification in distributed computing environments. The platform, built on the principle “Don’t Trust Data. Prove It,” provides organizations with mathematical proof of data usage, computation execution, and AI behavior without relying on traditional trust assumptions.

    As enterprises increasingly deploy AI agents across heterogeneous systems they do not fully control, conventional trust-based models are proving insufficient. OpenMatter Network’s solution introduces a “Verifiable Trust Layer” that complements existing cloud, data, and AI infrastructure by adding cryptographic verification, governed execution, and secure collaboration capabilities.

    Core Platform Components

    The platform integrates three key technologies:

    • Masked Compute – enables mathematically verifiable execution for secure collaboration and computation across organizations without exposing sensitive data.
    • QuantumGuard – provides verifiable policy enforcement and governance for AI agents operating across systems and environments.
    • Datavizor – acts as the verification and visibility layer, offering insight into cryptographically provable execution, policy enforcement, and AI activity.

    These components work together to create a unified foundation for secure collaboration and governed AI execution, particularly critical as organizations face operational, regulatory, and security risks from uncontrolled AI systems.

    Industry Expert Perspectives

    “For decades, organizations have been asked to trust the systems they rely on,” said Renee Davis, CEO and Co-Founder of OpenMatter Network. “We believe the next generation of digital infrastructure will be built on proof. Organizations need the ability to mathematically verify how data is used, how computations are executed and how AI systems behave.”

    Ada Anderson, CTO and Co-Founder, added: “Organizations are quickly realizing that policy prompts and assumed compliance are not enough. If you cannot prove what happened, you cannot truly govern it.”

    Applications and Partnerships

    The platform is designed for enterprise and research applications including healthcare collaboration, secure AI model training, financial analytics, enterprise AI governance, and distributed scientific research. OpenMatter Network is already collaborating with Dara, a privacy-first health data platform, to explore verifiable collaboration infrastructure for healthcare insights while preserving individual data privacy.

    Alanna Scott Delaney, CEO of Dara, commented: “The future of healthcare depends on our ability to learn from data without compromising the privacy of the individuals behind it. By combining Dara’s privacy-first health data platform with OpenMatter Network’s secure collaboration infrastructure, we are exploring new ways to generate insights while keeping users in control of their information.”

    Headquartered in Florida’s Space Coast, OpenMatter Network is building the Verifiable Trust Layer for Secure Collaboration and AI Agents. For more information, visit www.openmatter.network.