LLMs into your existing stack — without breaking it.
Add AI features to a system you already have. We integrate with your APIs, your data, your auth, your monitoring — and don't rip out what works.
Engagements start at $12.5k. Faster if integration is well-scoped.
Most AI integrations fail because the AI is built like a separate system instead of a feature inside your stack. We integrate AI the way a careful senior engineer would: through your existing APIs, with your existing auth, observed by your existing monitoring. No new microservice unless one is genuinely needed.
What you get
AI feature integrated
Day 28
Lives inside your stack
API contract documented
Day 28
Your team can extend it
Observability hooked up
Day 24
Errors flow to your monitoring
Cost + performance baseline
Day 28
You know what it costs to run
The 28-day breakdown
Days 1–3
Stack audit: where AI fits, where it doesn't, what to integrate first. Decision: build inside or alongside?
Days 4–7
Integration architecture: API surface, auth flow, data flow, fallback behavior, rate limits.
Days 8–24
Build inside your repo or a sibling service. PRs you can review. Tests that match your conventions.
Days 25–28+
Staged rollout (canary or feature flag). Monitor, tune, document. Handover.
Stack we use
Ship in 28 days or the next sprint is on us.
Engagements start at $12.5k. Faster if integration is well-scoped.