Systems & Infrastructure
AI evaluation tools, governance frameworks, and automation pipelines.
LLM Evaluation Framework
A structured benchmarking system for measuring reliability, output consistency, and regression across Claude and GPT model versions. Designed for teams that need reproducible results — not just vibes. Integrates cleanly into CI/CD pipelines for teams shipping AI features continuously.
LLM Safety Evaluation & Release Gating
The next evolution of the LLM Evaluation Framework — built for safety-critical deployment decisions, not just capability benchmarking. Translates written safety policy into measurable evaluation categories, risk-weighted thresholds, and structured SHIP / CONDITIONAL SHIP / BLOCK decisions, with an LLM-as-judge scoring refusal quality and harmfulness alongside binary compliance. Every run produces an auditable release report designed for Program Manager review.
AI Guardrails Engine
A policy enforcement layer that wraps any agentic workflow without modifying the underlying agent. Evaluates proposed actions against a JSON-configurable policy registry before execution — returning structured allow / block / escalate decisions with full audit logging.
Document AI Workflow Automation
End-to-end pipeline for intelligent document processing with principled human-in-the-loop routing. AI handles what it's reliably good at; confidence- scored outputs below threshold are escalated to a review queue with full context — not just the raw document.