Trivian Technologies
Trivian Technologies develops AI infrastructure designed to keep authority, history, disagreement, revision, and accountability intact as AI systems become more persistent and interconnected. Its first commercial product, Rosetta, connects an organization's compliance rules with its live AI actions in high-accountability environments like financial services. The company's TRIA architecture provides machine-readable contracts and governance protocols for human-AI and multi-agent systems operating over time.
- Regulatory & Compliance Technology
- Artificial Intelligence
- Enterprise Software
- Software Only
- AI Agents
Funding
Founders
Founder details are not available yet.
Product
Problem
Enterprise AI systems operate without persistent memory or consistent governance across interactions, creating risks of hallucinations, unauthorized tool usage, and sensitive data exposure. Static compliance documents remain disconnected from live AI behavior, leaving organizations vulnerable to regulatory fines and reputational damage when models drift from established policies. As AI systems increasingly remember prior interactions, use external systems, and delegate work, conventional approaches fail to preserve distinctions between memory and authority, or between capability and permission.
Solution
Rosetta automatically ingests raw compliance documents, extracts cited requirements, and transforms them into active algorithmic guardrails that operate in real time. The platform routes extracted rules through human-in-the-loop review workflows, generates approved policy revisions, and runs automated end-to-end testing in a QA sandbox before deployment. Once live, Rosetta intercepts every AI interaction, scoring actions for threat level, certainty, and compliance violations while generating smart rewrites for unsafe content. All activity is logged to an immutable PostgreSQL audit trail, providing complete accountability and traceability for enterprise governance teams. Rosetta is built upon the TRIA architecture, which provides structures for representing authority, provenance, difference, revision, continuity, and accountability in machine-readable contracts and governance protocols.
Target Audience
Primary customers are enterprise organizations in financial services and other high-accountability sectors that require strict compliance oversight and real-time governance for their AI systems.
Features
- Document ingestion pipeline that automatically extracts compliance requirements from PDFs and raw policy documents
- Human-in-the-loop review workflows requiring manual sign-off on extracted rules before deployment
- Sub-12ms real-time inference engine that scores actions using an 8-field telemetry contract including threat score, certainty, and violation indices
- Automatic smart-rewrite functionality that generates legally safe text replacements while preserving original meaning
- QA sandbox environment for automated end-to-end testing of new guardrails prior to production release
- Immutable PostgreSQL audit trail capturing every interaction with timestamps and plain-language reasoning
- TRIA architecture with publicly inspectable SDK and falsification testing to validate behavioral distinctions