Service
AI inside the system you already run.
Most companies do not need a new product. They need AI doing something useful inside the software they already depend on, without breaking it. That is a senior engineering problem wearing an AI hat, and it is what we do.
What we actually believe about this
The model is the easy part
Calling an API and getting fluent text back is a weekend. The work is everything around it: what happens when it is wrong, who is allowed to see what, and how it touches a system of record without corrupting it.
Being confidently wrong is the failure mode
A system that says it does not know is useful. A system that invents an answer with total conviction is a liability, and in a regulated business it is the one that ends up in front of a lawyer.
Your data boundaries are the whole product
In multi tenant software, the question of whether one customer can ever see another customer's data is not a detail. AI features bolted on carelessly are one of the fastest ways to break that boundary without noticing.
It has to survive the system you already have
Most useful AI work lands inside software that is a decade old, that people depend on daily, and that cannot be taken down for a rewrite. That constraint is the job, not an obstacle to the job.
The work we take on
Answers out of your documents
Retrieval that is grounded in your own material, with the source attached to the answer, and an honest response when the answer is not in there.
Getting structure out of mess
Extraction and classification over documents, email, transcripts, and forms, so the output lands in your system in a shape it can actually use.
Agents that touch real systems
Software that does not just talk but acts: books, updates, files, charges. This is where correctness stops being academic, and where most AI projects quietly fall over.
The plumbing nobody demos
Payments, electronic signatures, auth, tenancy, and the migration path. Two decades of it, including the kind that cannot go down.
See it in practice
Retrieval built so it admits what it does not know, and payments and signing added to a CRM that was never allowed to go down.
What are you trying to add AI to?
Describe the system and the problem. We will tell you how we would approach it, and whether you even need us to.