AI Trust & Financial Integrity Infrastructure

Detect Crypto Financial Crime
with AI

Deploy AI for AML and risk decisions with end-to-end auditability: model registry, inference logging, provenance, and compliance reporting.

Built by security researchers. Designed for regulator-facing environments.

Live

Crypto AML

Detect, triage, and explain suspicious activity with verifiable evidence trails.

  • Entity & wallet risk scoring
  • Case management + investigator workflow
  • Audit-grade decision logs
Explore Crypto AML
Coming Soon

Hybrid B2B Wallet

Enterprise crypto custody with post-quantum cryptography — quantum-resistant digital asset security for B2B organizations managing $10M+.

  • MPC + TEE three-tier hot/warm/cold architecture
  • NIST PQC signatures (ML-DSA / SPHINCS+)
  • KYT, Travel Rule & OFAC compliance built in
Explore Hybrid Wallet
Why QLabs

Built different, by design

Not a compliance dashboard bolted onto a model. A trust layer built from the ground up for environments where AI decisions have consequences.

Verifiable by design

Cryptographic integrity, tamper-evident logs, and attestations on every model decision — not as an add-on, as the architecture.

Regulator-ready outputs

Audit exports, evidence trails, and repeatable evaluations formatted for examiner review — not just internal dashboards.

Model-agnostic

Works across vendor models and internal models — no lock-in to a specific provider, framework, or deployment architecture.

Built for high-risk domains

Finance, compliance, investigations, and critical workflows — built for environments where a wrong decision has a paper trail and a consequence.

Architecture

How it works

QLabs sits between AI systems and regulator-facing outcomes — ensuring every decision is attributable, explainable, and auditable.

Use cases

Who it's for

VASP / Exchange Compliance

Alert triage, SAR evidence packaging, and audit-grade decision logs formatted for FINTRAC, FinCEN, and FIU review.

Fintech & Banks

AML transaction monitoring, model risk controls, and audit-grade decision logs built for financial institutions operating under FINTRAC, FinCEN, and OSFI oversight.

Investigations & OSINT

Incident intelligence feeds and case management tied to verifiable evidence chains — built for financial crime investigators and OSINT analysts.

Built for trust,
not optics

We're not a compliance dashboard with a governance tab. Every architectural decision was made for environments where AI systems face examiner scrutiny.

Security research foundation

Built by practitioners with backgrounds in applied cryptography, fraud intelligence, and financial crime investigations — not retrofitted from a generic ML platform.

Methodology-first

Our attestation framework follows composable audit principles. Every model decision carries a verifiable evidence chain — designed to survive a regulatory examination, not just an internal audit.

Pilot partners wanted

We're onboarding compliance leads and risk teams as design partners. Early access includes direct input on the product roadmap and governance module architecture.

Ready to make AI decisions audit-ready?

We work directly with compliance leads and risk teams. Tell us what you're evaluating — we'll set up a focused technical walkthrough.