Technical prototypes, feasibility studies and R&D

We test a narrowly defined AI idea using suitable sample data. The goal is an informed feasibility decision, not the appearance of a finished product; limitations and remaining work are documented.

We investigate whether available data can answer a specific question. We review quality, gaps and potential bias, producing a traceable analysis rather than unsupported predictions.

Artificially generated images, audio or video may support authorised testing. We clarify purpose, rights and labelling and separate test material from genuine evidence or real customer cases.

We compare methods for identifying synthetic or altered media using defined test cases. False alarms and missed cases also matter; a single percentage does not replace a sound evaluation.

We test whether a manual task can be simplified reliably. A limited experiment reveals exceptions and helps determine whether the expected value justifies the additional effort.

A convincing demo does not establish everyday usefulness. We agree test criteria in advance and compare results with a suitable baseline so continuation or stopping can be decided on evidence.

We record the question, experimental setup, data used and results clearly. You can review the decision and plan follow-up work without depending solely on a presentation.