Use case
Accountability for enterprise agents
Agents are starting to make real decisions. MADB gives you what you need to trust, explain, and defend them.
Most enterprise agent projects stall before production — not because models can’t act, but because no one can answer for what they do. The blockers are familiar: agents forget, and they can’t say why they acted.
Three questions, one substrate
- Trust — stand behind a decision because its causes are on record
- Explain — reconstruct an agent’s reasoning with
trace_cause - Defend — produce an audit trail when regulators or finance ask
Live today, governed tomorrow
Durable memory and decision lineage are available now. Enforced governance, storage-layer tenant isolation, and certification are on the roadmap — built on the lineage MADB already produces. Talk to us about enterprise needs.