Question 1

What kinds of AI projects do you develop?

Accepted Answer

We work on computer vision, forecasting, speech processing, document search, and LLM-assisted workflows. Before proposing a model, we check the data, success metric, and integration with the workflow.

Question 2

Can you start from an idea or an existing MVP?

Accepted Answer

Yes. From an idea, we derive testable assumptions and a technical scope. For an existing MVP, we can assess the architecture, data, and limitations before deciding what to keep or replace.

Question 3

Do you only work on computer vision projects?

Accepted Answer

No. Computer vision is an important specialism, but we also develop custom software, data systems, speech-processing pipelines, and LLM-based applications.

Question 4

How does an engagement start?

Accepted Answer

We begin with a conversation about the problem, available data, and expected outcome. If the project is a fit, we propose the first scope of work: an audit, technical proof, MVP, or application development.