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
Available for pilots
AI Governance & Assurance
Model registry, inference attestations, drift monitoring, and compliance exports for AI systems across your stack.
- Model lineage & version control
- Inference logging + reproducibility
- Compliance reporting (SR 11-7 / OSFI / EU AI Act)
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
Data Sources
Wallets, transactions,
risk signals, entities
risk signals, entities
Detection Models
AML scorers, fraud
detectors, risk classifiers
detectors, risk classifiers
QLabs Governance Layer
Model registry · Inference logs
Attestations · Drift monitor
Attestations · Drift monitor
Reports & Exports
Cases, SARs, audit trails,
compliance exports
compliance exports
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
Model risk controls, SR 11-7 and OSFI E-23 compliance exports, and governance dashboards built for model validation and risk teams.
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.