Services

A fixed-scope audit that measures where your LLM stack leaks money and accuracy, run on your real usage data, ending in a prioritized fix plan your team can execute.

A two-week lab that turns a risky idea into a user-tested prototype and a technical spike, ending in a clear build, park, or pivot call.

A dedicated cross-functional pod that owns a slice of your roadmap and ships on a predictable cadence, with transparent velocity and quality metrics.

KPI and GIS dashboards on a governed warehouse, with data-quality checks and alerting so the numbers your team acts on hold up.

Takes a computer-vision model from proof-of-concept to production on edge or cloud, with measured precision, low-latency inference, and drift monitoring.

A build track that ships a production RAG feature grounded in your own data, with accuracy evals, safety gates, and cost-per-query tracking.

Multi-agent systems that carry out back-office decisions under policy guardrails, with a human reviewer on the exceptions and an audit trail on every action.

One control plane to route, run, observe, and govern multi-model and multi-agent apps, with cost policies, guardrails, and audit trails.

Security hardening built for AI failure modes (prompt injection, model theft, data poisoning), mapped to SOC 2, NIST AI RMF, HIPAA, and CJIS with audit-ready evidence.

Model registry, drift monitoring, and one-click rollback that keep already-deployed models reliable months after launch, not just on launch day.

In-place Rails and Ruby upgrades while you keep shipping, using dual-boot and blue-green cutovers, safe migrations, and measurable p95 and CVE wins.

Production-ready connectors between your systems, with contract tests, retry and idempotency logic, and dual-run reconciliation before cutover.

Modernizes a legacy platform without a feature freeze: modular boundaries first, then observability and cost controls, with dual-run validation for a zero-downtime cutover.