Internal AI Tools
AI assistants and copilots tailored to your codebase, documentation, or internal processes — built to fit how your team actually works.
Engineering
LLM tool development.
We build custom LLM-powered tools for engineering teams — from internal coding assistants to workflow automation that integrates with your existing systems. Project-scoped engagements, with a clear deliverable and clean handoff.
What we build
Workflow Automation
LLM-driven pipelines for review, classification, summarization, and generation tasks. Designed to be evaluated, not just shipped.
Integration Layers
Connecting language models to your existing data sources, APIs, and developer tools — including retrieval and tool-calling architectures.
Claude Code Skills & MCP Servers
Custom agent extensions and Model Context Protocol servers that adapt AI coding agents to your team's specific patterns and standards.
How we work
Engagement length
Most engagements run 2–12 weeks, scoped to a clear, shippable deliverable. We do not take long open-ended retainers.
Scoping
Every project starts with a short scoping conversation. We agree on a deliverable, success criteria, and a timeline before any commitment.
Handoff
Code, documentation, and evaluation harnesses ship together. Your team owns the result and can extend it independently.
Tell us what you're building
When inquiring, please share a brief description of the problem, your team size, and any constraints (timeline, infrastructure, compliance). We'll respond with a scoping proposal or a referral if it's not a fit.