Cognition Mesh provides a control plane that governs AI workloads across any model or vendor, enabling teams to structure, authorize, validate, and audit AI actions in real time. By assigning identities, owners, and policies to each AI and requiring pre‑execution permission, it ensures consequential actions are vetted before they run and creates tamper‑evident audit logs that survive system failures. The platform supports bring‑your‑own AI, allowing integration with any LLM, cloud, or local deployment.
Funding
Funding not disclosed
Founders
Product
Problem
AI deployments often lack real-time governance, allowing autonomous agents to act without pre‑execution checks, leading to silent errors, hallucinations, or unauthorized actions that can damage systems and erode trust.
Solution
Cognition Mesh provides a runtime governance control plane that sits across any AI stack, regardless of model or vendor, and operates on the customer's own infrastructure. Each AI instance is assigned a cryptographic identity, owner, and policy, enabling the platform to enforce permissions before consequential actions execute. The system independently validates results and records every decision in a tamper‑evident log that survives crashes and restarts, delivering auditable, provable AI operations while keeping data and keys sovereign to the user.
Target Audience
Primary customers are enterprises and development teams that run multi‑agent AI workflows on private infrastructure and require enforceable governance, auditability, and compliance for critical AI actions.
Features
- Vendor‑agnostic control layer that governs any LLM or AI service, cloud‑based or on‑premise
- Identity and policy framework assigning owners and permissions to each AI instance
- Pre‑execution enforcement that authorizes consequential actions before they run
- Independent result validation to prevent untrusted outputs from being acted upon
- Tamper‑evident audit log that persists across crashes, restarts, and resets
- Seamless integration with existing AI pipelines via a single governance API
- On‑premise deployment ensures all models, keys, and data remain within the customer's environment