A senior engineering and AI team for companies that need it done right — and for founders who need their AI-built MVP rescued, hardened, and scaled.
TRUSTED BY TEAMS SHIPPING REAL PRODUCTS
Senior engineering across the full stack — from rescuing AI-built MVPs to standing up the systems that keep them running.
Built your MVP with Cursor, v0, Lovable, or bolt and hit a wall? We don't judge — AI tools get you to a demo fast. We take that demo and make it real: audit the codebase, fix the security holes, untangle the architecture, add tests, and get it ready to scale.
See how the rescue works →Web apps, APIs, and backend systems built to last. Type-safe, well-tested, easy for the next engineer to read.
LLM features, RAG pipelines, agents, and automations wired into real products — with evals, guardrails, and budgets.
Zero-to-one builds for founders, done with senior hands. Ship something investors and users can actually use.
Infrastructure that doesn't fall over. CI/CD, observability, and the boring discipline that keeps pagers quiet.
We audit and understand the system before touching it. No heroics, no rewrites for sport — just enough context to make the right call the first time.
Small, tested, deployable steps — not big-bang rewrites. Every Friday, something measurable is closer to done and visible in production.
We use AI to move faster, but humans own the architecture and the quality. The codebase has to make sense without the model in the room.
No glowing brains. Just AI features that work in production.
Answers grounded in your own docs, with citations and freshness controls — not hallucinations.
Models that actually use your APIs and finish multi-step tasks — with retries, budgets, and audit trails.
Replace fragile Zaps and scripts with reliable, observable pipelines that handle real volume.
Models that fit your domain, with a test suite that catches regressions before users do.
Turn calls, PDFs, and scans into structured data your systems can actually query and act on.
Cut token spend and p95 latency — without giving up quality. Right model, right place, right cache.
A few engagements where the numbers stayed good after we left the room.
Founder shipped a working demo in a weekend, then watched it buckle at 200 concurrent users. We re-architected the data layer, locked down auth, and added the test harness that should have been there from day one.
Profiled the hot path, killed three round-trips, and moved the heavy work off-request. p95 went from 1.4s to 410ms with no infra rewrite.
RAG over four years of ticket history, tool-calling into their billing API, and a strict eval harness. The team kept the hard cases; the agent took the rest.
They came in, read the codebase before saying a word, and shipped the fix the next sprint. That's the bar now.
We understand the goal and the existing code before we write a line. Stakeholder interviews, a full repo read, and a written diagnosis.
Clear milestones, fixed expectations. You see the plan, the trade-offs, and the price before anything ships.
Production-grade increments and weekly demos. Each week ends with something measurable, deployed, and reviewable.
We stay on to harden and grow it — SLOs, on-call, and the quiet, boring work that keeps it running.
Three shapes of engagement. We'll tell you which one fits on the first call.
A fixed-scope audit and fix engagement for AI-built codebases that need to become real software.
End-to-end product builds with senior hands. From discovery to a stable v1 in production.
Senior engineers plugged into your team monthly. We sit in your standups and ship in your repo.
Tell us where you are. We'll tell you the honest path forward.