SUPERCONDUCTOR
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.
superconductor_eval_result
{
“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
}
CAPABILITIES
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.
- 7 core analytical skills codified
- 13 trap patterns (jurisdiction blindness, confidence inflation, etc.)
- 8 lateral creativity markers
- Human-validated, not machine-generated
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.
- GREEN / AMBER / RED scoring
- Model-agnostic evaluation
- Rationale + source attribution
- Native sidecar deployment
Match evaluation intensity to your latency budget.
Real-time screening or deep forensic analysis. Choose the tier that fits your workflow.
- Fast Path: <200ms – real-time screening
- Full Battery: <2s – standard evaluation
- Deep Eval: <5s – forensic analysis
Your isolation boundary. Your choice.
IP protection by deployment mode. From shared infrastructure to fully air-gapped sovereign deployment.
- SaaS: Multi-tenant, fastest time-to-value
- Private Cloud: Single-tenant isolation
- Air-Gap: Sovereign, fully disconnected
EVALUATION IN ACTION
What Superconductor sees that your model doesn’t.
Without Superconductor
query: “Assess risk for Meridian Trading LLC”
response: “Meridian Trading LLC is registered
in Delaware. No sanctions matches found.
The company appears to be a standard
trading entity with no significant
risk indicators.”
confidence: 0.91
flags: none
With Superconductor
query: “Assess risk for Meridian Trading LLC”
superconductor.eval: {
verdict: RED
traps_detected: [
// Delaware ≠ operations
“jurisdiction_blindness”,
// 3-layer BVI structure
“ownership_opacity”,
// 0.91 on thin evidence
“confidence_inflation”
]
world_model_context: {
true_jurisdiction: “BVI → Cyprus → Delaware”,
beneficial_owner: “REDACTED – PEP match”,
trade_anomalies: 14
}
recommendation: “escalate_to_analyst”
}
THE PHYSICS OF SUPERCONDUCTORS
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.
ADOPTION JOURNEY
Start with what you have. Add judgment when you’re ready.
No rip-and-replace. No forced adoption curves.
Live in under 30 minutes with the default blueprint. No custom integrations required.
Stage 1 – SaaS Today
- Economic Security: Sanctions, export controls, national security risk
- Unified Commercial Risk: Due diligence, supply chain, n-party risk
- Graph + API: The commercial world model, accessible today
Stage 2 – AI-Assisted
- Sideconductor deploys into existing tools today
- Judgment layer on top of current tools – no rip-and-replace
- Modular, ontology-driven, domain-specific evaluation
Stage 3 – Judgment Infrastructure
- Superconductor wraps your entire stack – every workflow, every model
- Full tradecraft ontology + methodology integration
- Compounding flywheel: every investigation improves the system
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.