We build GPT and Claude into the tools your team already uses: assistants that answer from your own data, pipelines that read documents and move data between systems, bots that take routine off people, and decision support that a specialist can check. The price depends on the integration; you get a fixed quote after a 30-minute call.
Design for the moment the model is wrong
A language model will sometimes be confidently wrong. The useful question is not whether that happens but what follows: who sees the answer before it matters, what the system does when the model is unsure, what it is never allowed to do on its own. We decide that first, then pick the model and write the prompts.
In medicine this is the whole job. On Progalit, AI adapts a patient's citrate therapy, but the doctor follows the patient's data and makes the call — the recommendation is something a clinician can verify, not a decision taken for them.
What we build
- Assistants for your team that answer from your documents, knowledge base or database, with sources.
- Document and data pipelines: reading incoming files, extracting fields, filling your CRM or spreadsheet.
- Bots in the messenger your team or clients already use, connected to your systems.
- Decision support: recommendations a specialist can review and act on, with the reasoning visible.
- Scrapers and data collection that feed your own tools on a schedule.
Work in this area
- France — AI clinical decision support platform (Progalit)
- Germany & Austria — assistant bot for doctors in a trauma unit
- Poland — accounting web app with a Telegram bot
- Poland — scraping bot for a real-estate company
- Estonia — pipeline from LinkedIn to ClickUp
How we work
- A 30-minute call about the process: who does what today, where time goes, what must not go wrong.
- A fixed quote for a first version that solves one part of that process end to end.
- Build and test on your real data, with the people who will use it.
- Launch with logging, so you can see what the system answered and why.
Questions about AI projects
Which model do you use?
The one that fits the task and your data rules — usually GPT or Claude through their APIs. The integration is built so the model can be swapped without rewriting the rest.
Where does our data go?
Only where your requirements allow. For EU and UK clients we host in the jurisdiction you need and choose model providers and settings that match your data protection rules. Tell us your requirements at the start.
Will it replace people on my team?
It takes routine off them: reading, sorting, copying between systems, first drafts. Decisions that carry risk stay with a person, and the system is designed around that.
Do you also use AI to write code?
With AI assistance, the way most teams work today. Every line is reviewed by an engineer who is responsible for the result.
