AI built for the scrutiny our clients work under.
Our clients include federal agencies, state governments, healthcare organizations and Fortune 500 companies. When AI touches a claim, a citizen’s case or a payment, “the model said so” isn’t an acceptable answer, so we build every system to be controlled, explainable and auditable.
Controlled, explainable, auditable.
People in the loop.
AI handles the volume and people make the decisions that matter, with approval thresholds you set.
Explainable results.
Every flag, score or recommendation shows the reasons behind it.
A complete audit trail.
Each AI decision is logged with its inputs, sources, model version and outcome.
Your data stays yours.
It’s deployed in your environment, never used to train public models, and protected by role-based access that mirrors your existing permissions.
Privacy by design.
PII is masked before it reaches a model, and the design is HIPAA-aware for healthcare work.
Security testing.
Red-team and prompt-injection testing before launch, plus continuous monitoring after it.
Quality & fairness checks.
Accuracy is measured against agreed test sets, and outcomes are reviewed for bias where people are affected.
Framework alignment.
Designed in line with the NIST AI Risk Management Framework, with ISO/IEC 42001 practices as a reference.