// services
Services
Three practices for putting AI into production and keeping it there — scoped to outcomes you can evaluate.
Architecture
Design of LLM applications and agent platforms.
- > LLM application design
- > Agent & tool-use architectures
- > Model selection & routing
- > Data foundations for AI
Operations
Run AI reliably, safely, and affordably in production.
- > Evaluation frameworks
- > LLM observability & tracing
- > Cost & latency controls
- > Safety & guardrails
- > Prompt & model lifecycle management
Agentic Automation
Apply AI to the work your team actually does.
- > Internal copilots & assistants
- > Agentic workflow design
- > Process & knowledge automation
- > Progressive autonomy: observe → recommend → assist → automate
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AI Readiness & Strategy
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Implementation Projects
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