Enterprise AI Verification
Every AI output,
verified before
deployment.
The verification engine that sits between your AI and your users. 150 failure modes detected. Every claim source-traced. Built for industries where wrong answers have consequences.
Designed for regulated industries
The Problem
AI is deployed in critical systems without verification.
Healthcare diagnoses. Legal citations. Financial projections. Government intelligence. Every day, AI outputs reach production unchecked. When they're wrong, the consequences are regulatory, financial, and clinical.
100% error propagation in multi-agent systems
Agent A hallucinates. By Agent D, the hallucination is treated as fact.
Self-review catches 0% of structural failures
AI systems miss the same errors they generated. Under pressure, they fabricate confirmations.
3x more fabrication under evaluation pressure
AI told its output will be judged produces structurally indistinguishable fake data.
Platform
Six verification layers. One governance engine.
Not a monitoring dashboard. A verification engine that tests every AI output against documented failure modes before it reaches production.
Dual-View Verification
Two independent models with opposing mandates. Track 1 generates. Track 2 challenges. Synthesis resolves.
Behavioral Pattern Detection
150 documented failure modes across 14 categories. Sycophancy, fabrication, authority mimicry -- detected before delivery.
Claim-Level Verification
Every factual claim extracted, source-traced, and tagged as verified or unverified.
Pre-Execution Oversight
Actions classified into oversight tiers before execution. Clinical decisions require human approval.
Memory Quarantine
AI memory treated as untrusted. Epistemic tagging, temporal decay, quarantine zones.
Multi-Agent Governance
Zero-trust agent communication. No agent can rewrite its own constraints. Error cascade prevention.
How It Works
AI generates. Ulfberht verifies.
+VLFBERHT+
The Ulfberht swords were Viking blades forged with crucible steel -- technology 800 years ahead of their time. Hundreds of counterfeits existed. The real Ulfberht was unmistakable.
Every AI company claims responsible AI. We built the system that proves it.
Solutions
One verification engine. Industry-specific deployments.
Each vertical receives its own compliance module, failure mode library, and regulatory reporting format.
Clinical AI Verification
Diagnostic overconfidence detection. Drug interaction hallucination prevention. HIPAA-compliant audit trails.
Legal AI Verification
Citation verification against actual case law. Precedent fabrication detection. Sanctions prevention.
Financial AI Verification
Market data hallucination detection. Projection confidence scoring. SR 11-7 compliance.
Government AI Verification
NIST AI RMF compliance. Air-gapped deployment. Full audit trail export for oversight review.
Physical AI Verification
Action irreversibility classification. Sensor hallucination detection. Multi-robot cascade prevention.
Automotive AI Verification
ADAS decision verification. Perception system hallucination detection. Safety-critical classification.
Research
Built on evidence. Not marketing.
Every capability claim is backed by documented experiments, tested across multiple production AI systems.
Behavioral failure modes
documented
Behavioral tests
completed
AI models
tested
Failure mode
categories
Key Finding
100% error propagation in ungoverned AI swarms.
When Agent A hallucinates and passes output to Agent B, by Agent D the hallucination is treated as verified fact.
Key Finding
Self-review catches 0% of structural failures.
AI reviewing its own output misses the same errors it generated. Only adversarial review between independent systems works.
Get Started
Enterprise access by application.
Ulfberht is designed for organizations in regulated industries where AI errors carry regulatory, financial, or clinical liability.