Syzygy Rosetta
Rosetta is a request/response AI governance and policy service. It acts as a deterministic decision engine that applies policy packs, strict operational rules, and semantic checks to secure corporate AI outputs in real time.
"request_id": "req_892a7x",
"trace_mode": false,
"enforcement_action": "rewrite",
"risk_score": 0.84,
"policy_status": "compliant"
Enterprise Capability Drawer
Highlighting deterministic rules, semantic LLM checks, and complex risk aggregation layers.
Isolated Agent Registry
Intelligence requires boundaries to remain trustworthy. Rosetta extends its protective envelope from foundational models to autonomous agents.
- Scoped Tool Execution: Prevents unauthorized API actions and tool drift in real time.
- Onboard and configure multi-agent networks within strict security perimeters.
Document-to-Policy Synthesis
Transitioning from dense corporate documentation to active digital guardrails shouldn't take months. Rosetta introduces an automated ingestion pipeline.
- Synthesizes institutional risk, compliance, and policy manuals into an optimized draft policy pack.
- Accelerates corporate alignment with human-in-the-loop oversight.
Operational Governance Sequence
Interaction Entry
Incoming prompts and directives parsed.
Policy Synthesis
Compliance documents generate guardrails.
Registry Verify
Agents checked against tool maps.
Semantic Check
Deep regulatory concepts verified.
Action Routing
Intercepts and corrects outputs.
Immutable Audit
Decisions committed to the ledger.
Runtime Evaluation Sandbox
Test the Rosetta evaluation logic with custom prompts. Toggle between passive Trace Mode and active Enforce Mode to view deterministic interventions.
The 8-Field Matrix
{ "status": "Awaiting simulated payload." }
{ "audit_trail": "NO_RECORD" }
> [SYSTEM] Rosetta Sandbox initialized.
> [SYSTEM] Trace Mode: Active | Enforce Mode: Inactive
# Run the engine to see real-time node evaluations...
Build what comes next with us.
Trivian Technologies is entering the next stage of development: bringing relational AI infrastructure into real organizations, workflows, and research environments.