Cognous provides an operating system for reasoning infrastructure that layers any large language model with persistent memory, cryptographic identity, and enforceable governance protocols. By wrapping model calls in a workflow that validates identity, hydrates contextual state, and reviews outputs against compliance policies, it enables regulated, auditable deployments for enterprises. The platform is accessible via an SDK that integrates seamlessly with existing applications, ensuring every generation is memory‑backed and policy‑compliant.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying generative AI face challenges ensuring that model outputs comply with regulatory requirements, maintain auditability, and respect access controls. Standard language model APIs lack persistent context, identity verification, and enforceable governance, leading to risks of non‑compliant behavior and fragmented data management.
Solution
Cognous offers an operating system that layers any underlying language model with built‑in persistent memory, cryptographic identity verification, and enforceable governance protocols. Each request undergoes ingress validation to confirm the caller’s identity and scope, then context hydration injects tenant‑specific temporal state before model execution. The generated output is passed through a governance review that checks against a compliance matrix, after which the response is logged, state is mutated, and an immutable audit trail is created. By embedding these controls into the request lifecycle, Cognous enables regulated deployment of generative AI while preserving continuity of knowledge across sessions.
Target Audience
Primary customers are regulated enterprises—such as financial services, healthcare, and legal firms—that need to integrate generative AI while meeting compliance, audit, and access‑control requirements.
Features
- Persistent, tenant‑scoped memory that retains context across interactions for institutional recall
- Cryptographic identity verification for humans, agents, and services with scoped capability tokens
- Policy‑bounded model execution that enforces compliance rules during generation
- Automated governance review that validates outputs against a configurable compliance matrix
- Immutable audit logging and state commit that provide end‑to‑end traceability of all interactions
- SDK integration that abstracts the full request lifecycle for any underlying language model