Private AI for risk, compliance, and financial crime.

Why financial services chooses private AI

Financial-services buyers don't have the option of "we'll figure out the compliance later." Transaction data, customer PII, and material non-public information are regulated assets. Off-the-shelf model APIs — even those marketed as enterprise-grade — create a cross-border data flow, a third-party vendor risk review, and a board-level disclosure question.

We build AI that doesn't create those questions in the first place. The models run in your VPC or on infrastructure you control. The audit log is yours. The residency is yours. The keys are yours.

Where we focus

• AML and sanctions: alert triage, narrative drafting, false-positive reduction
• Compliance surveillance: voice and text supervision, policy-aware copilots
• Loan and claims processing: end-to-end document understanding pipelines
• Customer-facing copilots that respect disclosure and supervision rules
• Internal operations copilots for finance, ops, and risk teams

Compliance posture

Every Financial Services engagement ships with:

• SOC 2 Type II-aligned controls (or aligned to your existing program)
• Customer-managed encryption keys (KMS) for at-rest and in-transit data
• Network isolation: deny-all egress, private subnets, no internet path required
• Audit logging at the prompt and response level, retained for your supervisory window
• Optional data residency in EU, UK, US-East, US-West, or your preferred region

How we engage

Most Financial Services projects begin with an AI Pilot — a 4-6 week hands-on feasibility study on a real sample of your data. From there, customers graduate into Custom AI Build plus Private AI Deployment. Once in production, Managed AI keeps the system tuned to changing model and regulatory landscapes.