AI integration
Models, wired into your product.
Tool-calling, retrieval, evals and observability, built into the product you already run. For product teams and agencies that need it shipped, not demoed.
What we're brought in for
The parts that make a model useful in production.
- Tool-calling into your systemsAgents that act inside your product, with the guardrails that let them be trusted with it.
- Retrieval over your documentsYour documents and data, indexed and answered from, with the source alongside every answer.
- Evaluation, so you can trust it in productionA test set drawn from real usage, run on every change and read before release.
- Observability, so you can see what it didEvery model call traced, costed and readable, so a bad answer can be found and explained.
How an engagement runs
Assess, build, evaluate, ship.
- Assesswhat the product needs
- Buildin your codebase
- Evaluateagainst real usage
- Shipwith runbooks and a hand-off
- AssessWe read the product and the problem and write down what a model should and should not do in it, before anything is built.
- BuildThe integration lands in your repository, in your language and framework, reviewed the way the rest of your code is.
- EvaluateA set of cases drawn from real usage, scored on every change and read before release. You keep the set and the scores.
- ShipIt goes live with runbooks and a hand-off session for the team that will run it.
What you receive
Four things you can point to.
- A working integration in your codebaseYours, reviewed, merged.
- An evaluation set and the scoresThe cases, how the system did on them, and how to run them again.
- RunbooksWhat it does, how it fails, what to do when it does.
- A hand-off sessionWith the people who will own it.
Terms
Plain terms.
- Fixed-bid for scoped work, hourly for open-endedA price and a date when the work can be scoped; capacity billed as used when it cannot.
- A deposit up frontWork starts once it clears.
- Your IP stays yours, our platform stays oursWhat we build for you is yours. When it runs on Allotide, the platform stays ours, and we keep running it.
- OpenAI or Anthropic, your choicePlaced behind one interface, so the choice can change later without the product changing with it.
Questions
Asked before, answered plainly.
- Do you work in our codebase or yours?
- Yours. The integration lands in your repository, in your language and framework, and goes through your review.
- Which model provider?
- OpenAI or Anthropic, your choice. We put it behind one interface so the choice can change later.
- How do we know it works?
- By the evaluation set: cases drawn from real usage, scored on every change, read before anything ships. You get the set and the scores.
- What does it cost?
- Fixed-bid for scoped work, hourly for open-ended, a deposit up front. Talk to us with what you have and we'll scope it.
- Can you also run it?
- If it runs on Allotide, we run the platform. If it runs in your stack, the runbooks and the hand-off session are for your team, and we stay reachable.