Engineering AI tuned to your codebase, not the open internet.
Code intelligence, autonomous coding agents, and review automation that knows your conventions, your services, and your tests.
- First copilot live
- 0-10wk
- Cycle-time cut
- 0-50%
- Suggestion acceptance
- >0%
- Auditable AI-authored changes
- 0%
AI engineering tools that respect your codebase.
Generic copilots assume your code looks like the public internet. It doesn't. We tune retrieval, completion, and code-modification on your repos, your conventions, your test infrastructure, and ship the tools your team will actually use.
- Code search and Q&A grounded in your monorepo
- Autonomous coding agents for well-scoped change types
- AI code review with policy-aware comments
From discovery to production.
- 01
Discover
Identify the developer pain that AI actually solves, search, refactors, test generation, review, and pick the right starting point.
- 02
Prototype with evals
Eval suite over real PRs and historical issues. The system passes when it produces changes a senior engineer would approve.
- 03
Deploy
Integrated with your IDEs, CI, and code-review tools. PII and proprietary code stay in your perimeter.
- 04
Operate
Continuous evaluation against new PRs. Suggestions that get rejected feed back into tuning. The system improves.
Generic copilots producing code your team has to rewrite anyway?
Book a 30-min consultWhat you get.
Code AI you can defend in security review.
Code never leaves your VPC. Models are deployed to your infrastructure. Every AI-authored change is attributed, reviewable, and runs through your existing CI before merge, same gates as a human PR.
- Bring-your-own-VPC inference; source code never crosses the boundary
- AI-authored PRs get full CI, code-owner review, and audit trails
- Per-team adoption metrics with rejection-cause analysis
Common questions.
Engineering AI that actually fits your codebase.
Free 30-minute consultation. Bring a developer pain point; we'll outline how AI would address it.
Schedule consultation