Services

Design and build the infrastructure for LLM-powered applications — model routing, prompt management, evaluation pipelines, observability, and deployment systems that survive model upgrades.

Most teams underinvest in this layer early and pay for it later. The right abstractions here mean engineers can ship AI features without reinventing the wheel on every project, and without breaking things when models change.

Build the tooling and abstractions that let product engineers use AI without becoming AI infra engineers — shared components, standardized access patterns, and the guardrails that matter in healthcare.

This is the difference between every team wiring their own LLM connections and a coherent internal platform that enforces compliance requirements, reduces integration time, and gives you visibility into how AI is being used across the organization.