AI features your users can trust.
AI integration for products that already have users. Language model features, retrieval pipelines and evals, built into your codebase by engineers who have shipped them to production. Median four days from scoping call to first commit.
Book a scoping call$1,600/ 1-week sprint
acme/support-copilotSPRINT 03
Retrieval index over 40k help docsPR #12 · checks ✓
Eval harness, 220 graded answersPR #14 · checks ✓
Streaming answers UIIN REVIEW
Answer accuracy on eval set94.2%
› THE PROBLEM
The demo took a weekend. The product is the hard part.
Anyone can wire a model to a text box. Production is different: answers have to be right, fast, and affordable, and you have to be able to prove it before your users find the failures for you.
The AI Lab exists for that second part. We build the retrieval, the evaluation suite, and the guardrails alongside the feature itself, in your repo, so what ships is measurable and maintainable by your own team later.
› CAPABILITIES
What this team builds
Model integrations
Claude, GPT, and open models wired into your product with streaming, retries, and fallbacks.
Retrieval pipelines
Your documents and data made searchable and citable, so answers come from your truth, not the model’s memory.
Evals and guardrails
A graded test set for every feature, run on every change, so accuracy is a number and not a feeling.
AI product UX
Streaming interfaces, citations, feedback loops, and the patterns that make AI feel dependable.
Prompt and context systems
Versioned prompts, context budgets, and structured outputs your team can maintain after us.
Cost and latency
Caching, routing, and model selection that keep unit costs predictable as usage grows.
› YOUR SPRINT TEAM
Who you actually get
One fixed sprint price covers everyone below. No hours ledger, no utilization math, and you will know them all by name after the first call.
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AI engineer
DEDICATED FOR THE SPRINT
Owns the model work: retrieval, prompts, evals. Assigned to your sprint for its full length, and the person on your scoping call is the person in your repo.
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Product engineer
DEDICATED FOR THE SPRINT
Builds the feature around the model: the streaming UI, the API layer, the data plumbing. Ships to your standards, in your stack, behind your review process.
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Fractional QA
EMBEDDED AT RELEASE
Regression coverage and eval runs before anything ships. Shared across sprints by design, so you get the judgement without paying for idle time.
› EVERY SPRINT SHIPS
Deliverables, not decks
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Working features · merged to your repo behind your review process
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An eval suite · graded answers and regression coverage that runs in CI
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Daily written updates · what shipped, what is next, what needs your call
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Architecture notes · plain-English docs your team can operate from
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Handover-ready code · your stack, your standards, your IP from day one
SHIPPED BY THIS LAB
An algorithmic trading platform took its strategy engine from research notebooks to production, with every signal validated before it traded real money.
Read the case study95%
validated signal accuracy
10–15
features shipped monthly
› PRICING
One number, on the site, on purpose.
You should not need a call to learn a price. Each sprint has a fixed price that covers the whole team, and add-ons are flat per sprint. Full pricing ›
AI Lab$1,600/sprint
›Fixed scope, agreed before the sprint starts
›Median four days to the first commit
›Async daily updates, direct team access
›Full IP ownership from day one
›First 14 days refundable, any sprint length
› QUESTIONS
Asked on most scoping calls
As a lane of their own. The sprint team takes one scoped stream of work, ships it behind your review process, and posts a written update daily. Your team keeps ownership and merges at their own pace.
That is what the eval suite is for. Every feature ships with a graded test set, and accuracy is tracked on every change. Guardrails route low-confidence answers to safe fallbacks instead of guessing.
You do, from day one, in writing. Everything is committed to your repositories under your accounts. If we part ways, nothing needs to be handed over because you already have it.
A thin, real slice: one retrieval pipeline or one model-backed feature, working in your product, with its eval set. Median time from the call to the first commit is four days.
What a feature needs to survive real users: the model integration with streaming, retries and fallbacks, a retrieval pipeline over your own data so answers can cite their source, an eval set that grades every change, and the interface work that makes it feel dependable. All of it lands in your repository, and the eval suite stays with you after the sprint.
First 14 days are on us. Not convinced? Full refund, regardless of sprint length. It runs from the day your first sprint starts. So far, every client who completed a sprint has come back for another.
The scoping call is 30 minutes and sets the sprint length. The first commit follows in four days on median.
◈ 14-DAY GUARANTEEIP YOURS FROM DAY 1NO LONG CONTRACTS