AI Services
Applied AI and ML systems held to the same engineering and security standards as production infrastructure — not a prototype that quietly became load-bearing.
Request an assessmentWhat we deliver
LLM application & agent engineering
Production-grade chat, retrieval, and agentic systems — with the evals and guardrails to match.
Model evaluation & red-teaming
Adversarial testing for prompt injection, data leakage, and failure modes before your customers find them.
MLOps & inference infrastructure
Deployment, monitoring, and cost control for models running at scale.
AI governance & risk review
Policy, access control, and audit trails for AI systems touching sensitive data.
Data pipeline & retrieval architecture
RAG and retrieval systems designed around your actual data, not a demo dataset.
Vendor & model risk assessment
Independent review of third-party AI vendors and models before they touch your data.
Engagement model
AI engagements start with a risk and architecture review of the system as it exists today — including shadow AI usage most teams haven't mapped yet. From there we scope a fixed build, a security review, or an ongoing evaluation retainer, depending on what the system needs.