perathos

use cases

Built for industries where wrong is expensive.

Perathos is designed for domain-specific verification in regulated industries. Customer-specific sources and controls should be confirmed during onboarding.

FIN

Financial Services

Erroneous figures in credit, trading, or compliance

Financial AI systems produce regulatory summaries, risk calculations, and credit assessments. A single hallucinated figure — a wrong capital ratio, an invented regulation — can trigger compliance violations, trading losses, or legal liability.

  • Independently recalculates every financial formula before it reaches decision systems
  • Cross-checks regulatory references against configured source material
  • Verifies credit scoring outputs against your models' expected ranges
  • Flags confidence-level mismatches in risk assessments
  • VRL evidence trail for regulatory review

example verdict

AI response claim:

Under Basel III, the minimum CET1 ratio is 4.5% of risk-weighted assets, with a capital conservation buffer of 2.5% bringing the effective minimum to 7%.

symbolic_solverPASS ✓
knowledge_graphPASS ✓
cross_examinerPASS 0.94
hallucination_detectorPASS 0.91
final verdictPASS
MED

Healthcare

Fabricated clinical guidelines or dosage errors

Clinical AI assistants surface drug dosages, guideline recommendations, and diagnosis support. Hallucinated clinical data does not just produce a wrong answer — it can harm patients. Healthcare deployments require reviewed source configuration and approved handling terms before production use.

  • Validates drug dosage claims against configured approved prescribing sources
  • Cross-references clinical recommendations with customer-approved guidelines
  • Detects fabricated study citations and invented guideline references
  • Verifies ICD/CPT codes and diagnosis codes against current classification systems
  • Supports healthcare evaluation workflows with PHI handling reviewed before production use

example verdict

AI response claim:

The recommended adult dosage for amoxicillin for community-acquired pneumonia is 500mg three times daily for 5–7 days, per NICE guideline CG191.

symbolic_solverPASS ✓
knowledge_graphPASS ✓
cross_examinerPASS 0.94
hallucination_detectorPASS 0.91
final verdictPASS
TRD

Trade & Logistics

Incorrect tariff calculations or sanctions violations

Trade AI systems calculate landed costs, check export compliance, and interpret HTS classifications. Arithmetic errors in duty calculations or missed sanctions flags create direct financial and legal exposure. Perathos can run deterministic calculation checks and use configured trade reference sources.

  • Mathematically verifies every landed cost calculation via symbolic solver
  • Checks export destinations against configured sanctions reference sources
  • Validates HS codes and tariff classifications against configured trade data
  • Detects inconsistencies in FTA eligibility claims
  • Generates a proof bundle for customs review workflows

example verdict

AI response claim:

Total landed cost = customs value ($12,500) + freight ($850) + insurance ($125) + duty at 6.75% ($843.75) + MPF ($32.71) = $14,351.46

symbolic_solverPASS ✓
knowledge_graphPASS ✓
cross_examinerPASS 0.94
hallucination_detectorPASS 0.91
final verdictPASS

Need a different vertical?

Perathos's verification circuits are pluggable. We build domain-specific knowledge bases and circuits for your industry.

Talk to Us →