Superconductor — Enterprise Risk Intelligence Infrastructure
Zero-Resistance Judgment Infrastructure
Superconductor orchestrates the World Model and Ontology across any AI-powered workflow. Model-agnostic. Domain-specific. Every output scored against analyst expertise — not just accuracy.
{ "eval": "superconductor.score", "entity": "Meridian Trading LLC", "verdict": "RED", "confidence": 0.94, "traps_detected": [ "jurisdiction_blindness", "ownership_opacity" ], "recommendation": "escalate_to_analyst", "latency_ms": 187 }
The evaluation layer your AI deployment is missing.
Send any (query, response, context) tuple from any model. Get trap detection, tradecraft scoring, and recommendations — in the latency budget you choose.
7 skills. 13 trap patterns. 67,000 labeled decisions.
Codified from 11 years of analyst expertise. Not machine-generated. Human-validated across 67,000 labeled decisions. The framework lineage: HELM → MedHELM → EconSecHELM.
Eval-as-a-Service. Every output scored.
Every score returns rationale, source attribution, and recommended next steps. Deploys as an API call or a native sidecar — no rip-and-replace.
Match evaluation intensity to your latency budget.
Real-time screening or deep forensic analysis. Choose the tier that fits your workflow.
Your isolation boundary. Your choice.
IP protection by deployment mode. From shared infrastructure to fully air-gapped sovereign deployment.
What Superconductor sees that your model doesn’t.
The metaphor is exact. The properties are real.
Superconductivity has three defining physical properties. Judgment AI requires the same.
Meissner Effect
A superconductor actively expels magnetic fields. Sayari Superconductor actively expels analytical noise — hallucinations, confidence inflation, jurisdiction blindness — not by filtering outputs, but by rejecting them at the evaluation boundary.
Quantum Locking
A superconductor can be locked into any orientation and hold it with zero drift. The judgment ontology is configurable and reconfigurable — tuned to your domain, your rubrics, your risk tolerance — without losing its core evaluation properties.
Exquisite Substrate
Zero-resistance conductivity requires an exceptional substrate — precise crystal structure, exact composition, clear guardrails at the atomic level. Judgment AI requires the same: 1.5 billion entities, 250+ jurisdictions, 11 years of analyst expertise encoded into the model.
Start with what you have. Add judgment when you’re ready.
No rip-and-replace. No forced adoption curves.
Stage 1 — SaaS Today
Stage 2 — AI-Assisted
Stage 3 — Judgment Infrastructure
Ready to add judgment to your AI stack?
Bring your evaluation criteria. We’ll show you how the judgment ontology adapts — and what your current AI stack is missing.