Open source · MIT
AI-Ready
Point it at any repo: it scores 0–100 how well the repo serves your AI coding assistant — then generates everything missing. We ran it on our own code first: 65 → 82.
24tests passing
65→82dogfood score
Proudly Canadian — Established in London, Ontario
Your customer calls at 11pm — someone answers. Your servers age out — the migration is already planned. Your team drowns in busywork — the assistant handles it. We build the systems that make handled the default.
Your requirements first — we ask the second question, not just the first.
Architecture before code — planned, reviewed, and agreed with you.
Senior engineers with AI leverage — and a working demo every week.
Production-grade: tested, documented, audited.
We stay after launch — supporting, evolving, and handing you the understanding.
Five practices, one rule: if it doesn't serve the requirement, it doesn't ship.
Your inbox triages itself. Your reports draft themselves. AI goes where it earns its keep — inside your operations, not on a slide deck.
Learn more →Your workloads run where they run best — Azure, AWS, GCP — billed sanely, governed tightly, visible from one place.
Learn more →Friday evening: your last on-prem server goes quiet. Monday morning: everything runs on Azure, documented and audited. We plan the cutover; you keep your weekend.
Learn more →A customer calls at 11pm. Instead of voicemail, they get your assistant — booking, answering, routing. You wake up to the appointment, not the missed call.
Learn more →Your team stops bending around the software. The software bends around them — built for how you actually work, and owned by you outright.
Learn more →We run these every day. Open-source, local-first, and measured — not marketed.
Open source · MIT
Point it at any repo: it scores 0–100 how well the repo serves your AI coding assistant — then generates everything missing. We ran it on our own code first: 65 → 82.
Open source · MIT
Ask your notes a question, get an answer with citations. Six chunking strategies, hybrid retrieval, and an eval harness that proves what works — on your data.
You've met the other kind of vendor: the one who makes a business out of your dependence. Every handoff is a cliffhanger, every question a billable hour. That's backwards. If we did our job right, you shouldn't need us anymore — and we'll document everything so you don't.
The craft was never the code. It's the discipline to understand first — your requirements, your constraints, your team — then deliver exactly that, elegantly. Nothing more.
— Siva Bandarupalli, Founder