Trivian Technologies builds AI governance middleware — the infrastructure layer between AI models and the production systems that deploy them.

Enterprises deploying AI agents face a real problem: models hallucinate, drift, and produce outputs that violate compliance requirements. No model provider solves this at the infrastructure level. We do.

Our flagship product, Syzygy Rosetta, is a containerised, API-first governance engine that evaluates every AI input and output before it reaches an end user — applying deterministic policy rules and ML-based risk scoring to return a structured, auditable decision in real time.

POST /evaluate

{
  "decision": "allow | rewrite | escalate",
  "risk_score": 0.85,
  "confidence": 0.91,
  "violations": ["unsafe_medical_directive"],
  "rewrite": "Please consult a qualified medical professional for guidance on this matter.",
  "timestamp": "2026-03-10T14:22:00Z"
}

One endpoint. Every AI output evaluated, scored, and governed — before it reaches production.

What Rosetta is not: a chatbot, a foundation model, a UI layer, or a prompt wrapper.

What Rosetta is: infrastructure. It sits between your AI and your users and makes sure what goes through is safe, compliant, and auditable.

# Clone the core engine
git clone https://github.com/Trivian-Technologies/syzygy-rosetta-originbase.git
cd syzygy-rosetta-originbase

# Build and run (STILL IN PROD)
docker build -t rosetta .
docker run -p 8000:8000 rosetta

# Evaluate your first input
curl -X POST http://localhost:8000/evaluate \
  -H "Content-Type: application/json" \
  -d '{
    "input": "Your AI output here",
    "context": {
      "industry": "healthcare",
      "user_id": "demo",
      "environment": "staging"
    }
  }'

Full documentation → docs.triviantech.com

Enterprise teams deploying AI agents in regulated environments — healthcare, financial services, legal, compliance-heavy sectors — who need a governance layer they can audit, configure, and own.

Developers and AI engineers building on top of LLM providers who need structured output validation before their system acts on model responses.

Compliance and risk functions that need a documented, exportable audit trail of every AI decision made in production.

Syzygy Rosetta is in active development. MVP delivery in progress.

For enterprise pilot enquiries, API trial access, or partnership discussions:

se@trivianinstitute.org