AI web apps that ship to production.

Most AI projects stall at the demo. Something works in a notebook, everyone is impressed, and then it never survives contact with real users, real data, and real load. We build the other kind: AI features that run in production, get monitored, and hold up when people actually use them.

The problem we solve

A demo hides all the hard parts. Production is where you deal with rate limits, hallucinations that reach a customer, prompts that drift, costs that balloon, and the plumbing that connects a model to your actual data. That gap between a working demo and a dependable feature is where most AI projects quietly die. Closing it is the job.

What you get

We build the full path from your data to a model and back into your product: typed pipelines, retrieval over your own content, guardrails on the output, usage and cost tracking, and a UI that makes the AI feel like a feature rather than a science experiment. It ships as a real application your team can run, extend, and hand off, with runbooks that explain how it works.

The stack

We work in Laravel and Next.js on the front, wired to the OpenAI, Anthropic, and Gemini APIs on the back. This is the same stack behind our own products, so you are getting patterns we already run in production rather than something we are trying for the first time on your budget.

How we work

A typical build runs 6 to 14 weeks from first scope to handoff, with a working demo every week so progress is something you watch rather than wait for. We take on about five client projects a year, which keeps senior people on each one from start to finish. Every project ends with a clean handoff and runbooks your team can operate without us.

Proof

ConceptSEO is the clearest example: a Laravel and OpenAI/Anthropic platform we built that runs automated SEO analyses across multiple domains every week. Read how we built ConceptSEO for the full picture of what a production AI build looks like when we run it ourselves.