Compounding intelligence with Ontology + Knowledge Graph + Handles
Handles: Our patent-pending architecture for the universal, mathematically secure interface for AI agent execution.
Supported by Boult Wade Tennant (Legal 500 Tier 1 patent attorney)
We are building a secure, sustainable and scalable agent architecture.
Capability Machine is building the foundation for Enterprise AI that can actually be trusted. AI systems that look reliable and AI systems that are reliable are not the same thing — and that distinction matters when real business decisions depend on the output.
Current AI agents rely on large language models as their de facto knowledge stores, meaning their foundational knowledge is opaque, unreliable, frozen, and structurally uncontrollable.
Generative architectures trained on vast datasets have been astonishingly successful for language understanding and creation. But when deployed to execute real-world actions, free-text outputs and probabilistic security guardrails fundamentally fail to prevent hallucinations and access overreach.
We have developed a structural architecture that replaces the LLM as the brain with a formally grounded, Incremental Ontology. We reposition the LLM as a powerful knowledge extractor, feeding a unified Knowledge Graph where agents consume and produce strictly verified, typed entities.
The enterprise runtime for agentic work. Secure, governed, and built to control real software and resources — not just chat about them.
Capability-secure Handles let these agentic systems interact with any resource — databases, APIs, and cloud services — through unforgeable, self-describing interfaces. Because the Handle itself is the permission boundary, privilege escalation is not merely blocked by policy; it is mathematically and structurally impossible.
We advance enterprise AI infrastructure and develop applications where reliability, controllability, and safety matter, especially for AI agent sandboxing, multi-tenant SaaS environments, automated cyber-defense, and verifiable governance.
Built to manage the power of frontier models, our architecture provides the containment mechanisms needed to scale agents safely without the embedded risk.
True agentic capability comes from formally structured, verified knowledge with guaranteed security.
About Us
Capability Machine has been incubated by ebm.ai, a London-based technology team that has been delivering AI solutions to enterprise organisations since 2016. Under the technical leadership of Bill Pearson, Chief AI Engineer, we have built the foundational technology to make AI agents secure, sustainable, and scalable globally. That technology is our Capability Machine.
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