The infrastructure that makes AI features safe, fast, and trustworthy. Pipelines that feed the model, security that doesn't block velocity, product surfaces engineered for trust. In business terms: pass the audits that unblock enterprise deals, without slowing your release cadence.
ETL/ELT, CDC, vector index freshness, contract testing on schemas. The data your AI consumes has to be right and fresh — not "we re-index when someone notices."
Secrets via OIDC and KMS, SAST/DAST in CI, supply-chain attestation (SLSA), dependency policy. Velocity-preserving — security gates that don't grind releases to a halt.
Confidence indicators, source citations, fallback UX when the model errors. The frontend pieces that turn an AI feature into one users actually trust.
vLLM in your VPC for sensitive workloads. Hybrid routing — sensitive prompts stay private, non-sensitive use frontier vendors via private link.
Every model call logged with redacted payload, requester identity, model version, and cost. Auditor-ready by design, not by retrofit.
Pre-call PII detection and removal. Patterns tuned to your data shape. Fail-closed when uncertain.
We help shape vendor DPAs for HIPAA / GDPR / SOC 2 contexts. We're not lawyers; we know which questions to bring to yours.
Our founding CTO has architected and operated cloud platforms for financial services and security companies under SOC 2, ISO 27001, and PCI-DSS regimes — including payment infrastructure where an audit finding is a business problem, not a checkbox.
Founder track record, anonymized. Compliance scope varies by engagement — we'll map yours on the intro call.
QuantAimLabs