AI That Answers
For Itself.
Perathos sits between your AI and your decisions. Every response is intercepted, examined across six parallel verification layers, and returned with a cryptographically signed verdict.
Response verified
All six verification layers agree. Output delivered with cryptographic proof.
Review recommended
Anomalies detected. Response delivered but flagged for human review.
Response blocked
Mathematical error or confirmed hallucination. Output suppressed before delivery.
// the problem
Enterprise AI has a liability problem.
Models hallucinate with confidence. They fabricate citations, contradict compliance guidelines, and make mathematical errors — then deliver these outputs with the same certainty as correct ones.
Your compliance team acts on an incorrect regulatory summary. Your trading desk uses a hallucinated risk figure. Your clinical system surfaces a drug dosage from a fabricated guideline.
Your teams cannot tell the difference. Until it's too late.
Query: "What is the Basel III capital ratio?"
Response:
"Under Basel III, banks are required to maintain a minimum Common Equity Tier 1 ratio of 6% of risk-weighted assets, as mandated by the EBA circular dated March 2019..."
⚠ Actual CET1 minimum: 4.5% · EBA circular: does not exist
Two hallucinations. Zero warnings. Delivered with certainty.
// the solution
Verification middleware. Not guardrails.
Guardrails filter content. Perathos verifies truth. We intercept every AI response and run it through six parallel verification layers. Every verdict is cryptographically signed and auditable.
Intercept
Your AI call is proxied through Perathos
Extract Claims
Factual, mathematical, and structured claims identified
Verify
6 layers run in parallel — milliseconds
Judge
Weighted verdict aggregated and signed
Deliver
Response + VRL proof bundle returned
// six layers, running in parallel
Every claim examined from every angle.
No single model can be trusted to verify itself. Perathos uses a panel of independent verifiers — LLM-based, deterministic, and hybrid.
Cross-Examiner
A second model asks: does this contradict established facts, prior statements, or domain knowledge? Contradiction = FAIL.
Hallucination Detector
A fast model scans for fabricated specifics — invented citations, overconfident statistics, names or dates that don't exist.
Independent Calculator
Every calculation is re-derived from scratch by a separate model, blind to the original answer. Outputs are compared.
Symbolic Solver
Mathematical claims are verified by SymPy — a symbolic algebra engine. 100% deterministic. A wrong equation is always BLOCK.
Knowledge Graph
Factual claims are looked up against a trusted knowledge base or your own domain database. Pluggable per industry.
Schema Validator
Structured output — JSON, tables, financial figures — is validated against schema. AI extracts claims; deterministic code verifies each one.
// integration
One line to integrate.
Point your existing SDK's base_url at Perathos. No new SDK to learn. No API changes. The response format is identical to your current provider — with verification fields added.
- ✓Works with OpenAI SDK, Anthropic SDK, any OpenAI-compatible client
- ✓PASS responses include a VRL proof bundle for audit
- ✓BLOCK responses include a signed explanation
- ✓Configurable thresholds and per-request overrides via headers
# Before: direct to provider client = openai.OpenAI( base_url="https://api.openai.com" ) # After: verified by Perathos client = openai.OpenAI( base_url="https://api.perathos.com/judge" # ← only change ) response = client.chat.completions.create(...) # Verdict and proof bundle in every response print(response.vrl_verdict) # PASS | FLAG | BLOCK print(response.vrl_bundle) # Full audit trail
// use cases
Every industry where wrong is expensive.
Financial Services
Risk: erroneous figures in credit, trading, or compliance
Verify AI-generated regulatory summaries, risk calculations, and credit decisions. Every number independently recalculated. Every regulation cross-checked.
Healthcare
Risk: fabricated clinical guidelines or dosage errors
Validate clinical decision support outputs against drug interaction databases and evidence-based guidelines before they reach clinical workflows.
Legal & Compliance
Risk: hallucinated case law or misquoted statute
Cross-examine AI contract analysis and regulatory interpretation. Flag citations that don't exist before they reach a signed document.
Trade & Logistics
Risk: incorrect tariff calculations or sanctions violations
Mathematically verify landed cost calculations and export compliance decisions against live CBP tariff data and OFAC sanctions lists.
// open foundation
Built on the VRL Protocol.
Open source. Auditable.
Perathos is the enterprise product built on top of the open Verifiable Reality Layer (VRL) Protocol — a cryptographic standard for AI output verification. Every verdict is wrapped in a VRL Proof Bundle: an immutable, signed artifact that proves what was verified, when, and by which circuit.
View VRL Protocol on GitHub →ZK Proof Bundles
Every verdict cryptographically signed
TEE Attestation
Intel TDX & AMD SEV-SNP support
Audit Chain
Append-only, tamper-evident log
Open Protocol
Apache 2.0 · No vendor lock-in
Enterprise AI.
Without the liability.
Deploy AI that can prove every claim. See Perathos in your environment with a live proof of concept tailored to your use case.