We're the "humans in the loop" who make your AI strategy tick.
Senior engineers who've built healthcare platforms, fintech systems, and SaaS products from zero to scale.
AI-empowered, not AI-enabled .
What brought you here?
Starting from scratch
Build it right from day one
AI tools can scaffold fast, but the wrong foundation means you're rewriting by v2. We make the architecture decisions that let you ship now and scale later.
Start a projectBuilt with AI, hitting walls
We've seen the patterns. We know the fixes.
Cursor, Claude Code, Lovable, Copilot — they got you to v1. But now it's slow, fragile, or just... weird. We stabilize, restructure, and make it production-ready.
Fix my codebaseNeed to know if it's solid
An honest, independent assessment
Before you raise, scale, or hand this off — find out what you actually have. No spin, no padding. Just a clear picture of what works, what doesn't, and what it'll take to fix.
Get an auditBuying or investing
Know what the code says before the deal closes
Revenue metrics and product demos don't tell you whether the architecture can scale or the AI-generated code will survive integration. We tell you what it costs to fix — before you sign.
See our due diligence processWhy this matters
41%
of GitHub code is now AI-generated. It ships fast. It breaks at scale. The gap isn't more AI — it's expert humans who understand what the AI built.
We use AI every day. But someone needs to be accountable for what it produces. That's us.
How we work
We own outcomes, not tickets.
We're not staff aug. We take a problem, own it end-to-end, and deliver. You set the direction. We handle the engineering.
We work directly with decision-makers.
No project managers relaying messages. Founders talk to engineers. Deal teams talk to the people who read the code. Short loops, fast decisions.
We tell you what we actually think.
If the architecture needs a rewrite, we'll say so. If the code is better than expected, we'll say that too. No padding hours, no inflating scope.
Work
AI / Document Processing
Shipping an AI Document Intelligence Platform in 6 Weeks
How two engineers built an LLM-powered document processing platform — from hardcoded extraction to dynamic schema generation — for a seed-stage startup.
Healthcare SaaS
From Spreadsheets to AI: Building a Complete Clinic Operating System
How we built a vertical SaaS from scratch — Elixir/Phoenix backend, React Native mobile, AI-powered documentation, and clinical workflows.
Latest
View allGIS for Business: When Your Data Gets a Location
A practical guide to building location-aware applications — PostGIS, spatial indexing, H3, and the patterns that turn address data into advantage.
Feb 23
React Native Skia: GPU-Powered Graphics for Mobile Apps
A practical guide to React Native Skia — custom charts, shader effects, smooth animations, and when to use it instead of standard rendering.
Feb 23
Process-Based Concurrency: Why BEAM and OTP Keep Being Right
A first-principles guide to process-based concurrency — what makes BEAM different, how OTP encodes resilience, and why everyone keeps reinventing it.
Feb 22
Ready to put a human in the loop?
Whether you're building, fixing, or evaluating — we're the engineering team that makes AI-built software actually work.