We started Brain because we saw the same failure pattern everywhere.
Enterprise teams were building AI agents for high-stakes domains — clinical pathways, credit decisioning, regulatory monitoring. These agents were powerful. They were also structurally unable to verify whether the information they operated on was consistent, current, or contested.
The industry's answer was "add a system prompt" or "use a guardrails SDK." But system prompts are language-layer suggestions. They can be overridden, compressed, or forgotten mid-task. They degrade under exactly the conditions where enforcement matters most: long-horizon tasks, multi-agent coordination, conflicting knowledge sources.
Brain is a different approach. Instead of asking an LLM to check itself, Brain provides a deterministic truth layer — a consensus-scored knowledge graph where every relationship has a continuously recalculated confidence score. Conflict detection uses formal graph queries, not LLM judgment. Every decision is hash-chained into an immutable audit trail.
The result: agents that operate on verified knowledge, with structural gates that cannot be jailbroken, and provenance that satisfies EU AI Act Article 12.
Agent frameworks, orchestration layers, business logic. Where actions are planned and executed.
Consensus-scored knowledge graph. Conflict detection. Governance gates. Sealed audit trail. The deterministic foundation agents need to act on verified truth.
Document extraction, entity resolution, relationship mapping. Turning unstructured sources into structured knowledge.
If a constraint is violated, it's violated — regardless of what the LLM thinks. Brain's conflict detection is structural, not probabilistic. Same inputs, same verdicts, every time.
Only surface conflicts that should exist. Brain's 13 parallel detectors are tuned for precision. A governance system that cries wolf is worse than no governance at all.
Every conflict resolution updates the consensus model. Source authority scores learn. Autonomy thresholds calibrate. Brain gets smarter the more your team uses it.
Brain is deployable in your VPC. Your knowledge graph, your agents, your audit trail — all within your infrastructure boundary. We provide the engine, not the storage.
Brain's conflict resolution engine is grounded in peer-reviewed research spanning formal argumentation theory, truth discovery, and knowledge graph reasoning. Our consensus scoring combines Dung's argumentation frameworks, AGM belief revision postulates, and CATD confidence intervals — not ad hoc heuristics.
We've reviewed over 5,000 academic sources across 60 research domains to validate that Brain's approach occupies an uncontested position at the intersection of deterministic conflict detection, multi-source consensus scoring, and formal governance with audit trails. No existing system combines all three.
If that sounds like the kind of infrastructure problem you want to work on, we'd like to hear from you.
Get in touch