B2B platforms
Software your customers' teams work in all day. The AI has to be accurate, consistent and explainable, because someone's job depends on what it produced — and it has to fit the data structures you already have.
Who we work with
Platforms, not end users.
Our customers build products that other people use every day. We are the part of those products that has to think — supplied quietly, under their brand, at their volume.
Where we fit
B2C platforms
Consumer products where volume is large, attention is short and per-request cost decides whether the feature is viable at all. This is where owning the infrastructure stops being an implementation detail.
Teams without an AI team
You know exactly what your product should do. You would just rather not hire for, build and then operate the layer underneath it — which is a real, permanent job rather than a project.
You are probably a fit if…
None of these is a requirement. They are just the conversations that tend to go well.
Your AI bill grows with your success. The feature works, users like it, and now the unit economics are the problem.
You need more than one kind of AI. Voice in one place, document reading in another, an assistant in a third — and three separate relationships to manage.
The output has to fit your system. You are tired of parsing and repairing something that was nearly the right shape.
You care where the work runs. Your customers ask you that question, so you need to be able to answer it.
Sound like you?
Tell us what you are building. If it is not a fit, we will tell you that too.