For SaaS teams and founders with one clear AI use case
One production AI feature, live in your product in 10 business days.
The AI item that's been slipping on your roadmap for two quarters: an assistant over your docs, an agent that does a real workflow, a model wired into your product. We scope it on day one, demo it on your data on day five, and ship it to production on day ten.
What you get
- 01One named AI feature: an LLM feature, a RAG assistant, an agent workflow or a model integration
- 02Shipped in your repository and deployed in your own cloud account
- 03An evaluation harness with an agreed test set, so quality is measured, not guessed
- 04Cost and latency telemetry for every request
- 05Error handling and logging, plus guardrails where the feature needs them
- 06A README, a runbook and a handoff call with your team
- 07Two weeks of bug-fix support after release
Right for
- SaaS teams with an AI feature that keeps slipping
- Founders who need a real, working AI capability for customers or investors
- Companies piloting agents who want one bounded use case that works before betting bigger
Not right for
- Open-ended R&D with no user and no success measure
- Training a foundation model from scratch
How it runs
From kickoff to handoff.
Days 1–2
Scope frozen in writing: the user, the job, the success measure and the eval set.
Day 5
Working demo on your data. Your go/no-go point.
Days 6–9
Hardening: evals, edge cases, telemetry, guardrails, cost tuning.
Day 10
Production release and handoff.
Guarantee
Not convinced on day 5? Stop, and get your deposit back.
On day five you see a working demo on your own data. If it's not what you hoped, tell us by the end of the next business day: we stop, your deposit is refunded in full and the second payment is never due. You keep nothing from the sprint and owe nothing. No awkward negotiation.
Which models do you use?
Whatever fits the job and your constraints: OpenAI, Anthropic, Google, or open-weight models in your own cloud. We're vendor-neutral and show you the cost and quality trade-off before we pick.
Who pays for model usage?
You do, on your own accounts, so nothing is locked to us. We set budgets and alerts so there are no surprises.
What if the scope changes mid-sprint?
Scope is frozen in writing on day two so the date and price can hold. After that, changes get a one-page change request with a price before anything moves.
What happens to our data?
It stays in your infrastructure. We work with least-privilege access, sign a DPA if you need one, and remove our access at handoff.
Who owns the work?
You do, once it's paid for. Everything lives in your repository from the first commit, and nothing is locked to us.
Other offers
AI-App Rescue Audit
A senior audit of your Lovable, Bolt, Replit, Cursor or v0 app, with a fixed quote to fix it.
$1,490 · 72 hours
GPU Inference Speed Audit
Measured speed-ups for your image, video or LLM inference, with a plan to cut the bill.
$4,900 · 1 week
Agency Partner Capacity
Senior engineers under your brand, for the AI, backend and GPU work your clients ask for.
$8,000 · 65 senior hours per block