Exogram is verification infrastructure for enterprise AI and autonomous agents. Our four-layer control plane adds auditability, runtime policy enforcement, structured context, and execution boundaries to LLM workflows. Reduce hallucination risk, constrain unsafe agent behavior, and deploy AI systems with verifiable operational controls instead of blind probabilistic execution. Built for enterprise SaaS, AI agents, and future autonomous systems.

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Hi Product Hunt, I’m Richard Ewing, founder of Exogram.ai.

I built Exogram after hitting the same failure repeatedly across modern AI systems: LLMs can generate impressive outputs, but they still lack reliable verification, execution boundaries, and operational accountability.

Most companies are trying to scale autonomous agents on top of probabilistic systems without governance infrastructure.

Exogram introduces a four-layer control plane for enterprise AI:

1. Ledger → Ledger → immutable audit state and traceability
2. Context → structured contextual grounding and state resolution
3. Control → runtime policy enforcement
4. Judgement → deterministic permit/deny execution decisions

The goal is deployable AI systems enterprises can actually trust, audit, and control.

We’re especially interested in feedback from:

• AI infrastructure engineers
• enterprise architects
• agent framework developers
• governance/risk teams

Happy to answer technical questions all day.

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Exogram.ai

The zero-trust verification layer for enterprise AI

The zero-trust verification layer for enterprise AI