AI solutions

What we build

We build AI that solves a specific problem, ties into what you already run, and produces numbers you can check.

• Conversational assistants and chatbots that understand your domain, your products and your internal language, not generic answers.
• Intelligent automation for repetitive, document-heavy or decision work: reading invoices, sorting tickets, drafting replies, flagging exceptions for a person to approve.
• Retrieval over your own documents (RAG), so a model answers from your contracts, manuals and knowledge base, with sources, wired securely into your products.
• Data and predictive insight built on your own data: demand, churn, anomalies, whatever the numbers can tell you.
• Custom integration and fine-tuning of large language and vision models, so the output fits your tone, your formats and your rules.

We start from the outcome you need and pick the smallest model and setup that gets there. Sometimes that is a hosted LLM behind an API, sometimes a smaller model running close to your data. We tell you which and why.

How we work

Every project starts with a call. In Discovery we look at your data, your workflow and the result you want, and we say plainly whether AI is the right tool. If it is not, we tell you.

Then a Proposal: clear scope, timeline and cost. Most projects are fixed price, and the number you approve in the Proposal is the number you pay. Ongoing work, like tuning a model as your data grows, can run on time and materials.

We Build in short iterations with working software at every step, so you always know where the project stands and can course-correct early.

At Launch we stay around: monitoring, retraining and support once the model meets real users.

Your data stays yours: we never train shared models on it, and you can host everything in your own environment.

Common questions

Will you feed our data into a public model? No. By default your data stays inside your environment. Retrieval and fine-tuning run on infrastructure you control, and we set the data-handling rules with you before anything ships.

How long until we see something working? Most builds reach a usable prototype in a few weeks and production in two to six months, depending on data quality and integrations. We show working output early, not at the end.

We already started with another team or an off-the-shelf tool. Can you take over? Yes. We audit what exists, keep what works and are honest about what needs rebuilding, then give you a fixed number to finish it.