AI applications
Assistants, automation and model-powered features, designed and built as working parts of real products.
We build AI into the software people already use: assistants that answer questions from your own content, automation for the steps nobody should be doing by hand, and features where a model is one component of a well-made product rather than the whole point of it.
Every AI project starts from the work that needs doing, not from the model. We map the task first, decide where a model genuinely helps and where ordinary code is the honest answer, then design the interface, the prompts and a way to evaluate the results — so quality can be checked, not only demoed.
Delivery runs in short iterations with working versions you can try early. The result ships inside web apps, internal tools or APIs, built with our usual stack of TypeScript and Python alongside mainstream model services. How data is collected, stored and processed is agreed in writing before development starts.
What this includes
- Assistants and chat interfaces connected to your own content and data
- Automation for repetitive steps that slow the work down
- Model-powered features inside products and internal tools
- Prompt, interface and evaluation design you can check
- Integration with mainstream model APIs and open models
- Honest scoping: plain code where a model adds no value
Have an idea? Let's start from a singularity
Tell us your business problem — get a workable technical plan and assessment within 48 hours.