Real placements. Real production systems.

In-house RAG prototype was returning 40% irrelevant results on regulatory documents. Compliance review was blocked.

Matched a senior retrieval engineer with regulated-industry evidence. Rebuilt retrieval with hybrid search and reranking, and shipped an eval harness against a 2,000-question golden set.

Retrieval precision @5 jumped from 58% to 94%. Cleared compliance review on first pass.

Needed to ship a multi-agent automation feature to compete with a well-funded entrant. Founding team had no agent-systems experience.

Placed a principal AI architect on a six-month contract. They designed the orchestration, set up evaluation, and trained the in-house team alongside delivery.

Feature shipped in 11 weeks. Increased ARR by $1.4M in the following quarter.

Customer-facing LLM was hallucinating dosage information. PR risk was real, and existing guardrails kept getting bypassed.

Matched a prompt engineer specialized in hardening. They built a multi-layer guardrail (input classification, structured output, post-hoc validation) and a red-team eval suite.

Hallucination rate on safety-critical queries dropped to under 0.1%. Passed an external security audit.