LLM application development
built to run in production.
An LLM feature is easy to demo and hard to ship. We build LLM-powered applications end to end: the model work, and the software, cloud, security, and data foundation that makes them production-grade, with the evals and guardrails that keep them honest, then we hand you the codebase and a team that can run it.
The app around the LLM
A production LLM app is mostly the parts that are not the model: the interface, the data flow, the authentication and access control, the error and failure handling, and the integrations. We build the whole application, not just the prompt in the middle.
On the model side we make the consequential choices and write them down: which model and why, retrieval versus fine-tuning versus a plain prompt, a single call versus an agent, and the cost and latency budget each path has to live inside.
Evals, guardrails, and security
Quality is measured, not hoped for: an eval harness scores the app on every change so a regression fails CI instead of reaching users. Guardrails check inputs and outputs, and a hard cost ceiling caps spend.
Security is built in, not bolted on: a review against prompt injection and the OWASP LLM Top 10 alongside the standard application security work, because an LLM app is still an app.
Operated, then yours
We run the app with you during a support window, with monitoring of quality, drift, and cost, not just uptime, then hand it over with runbooks, the eval suite, the prompts, and the guardrails so your team can change it safely.
This is the Build & Run offer applied to LLM apps: code in your repositories from day one, IP transfer in the contract, and the eight engineering disciplines under one accountable team.
Common questions.
Direct answers to the questions we get asked the most. If yours isn't covered, write to the team.
Ship an LLM app that survives production.
Tell us what you want to build. The first phase is scoping: an architecture, the model choices, and a go / no-go we stand behind.