Product leaders
You need to decide whether an AI idea merits investment, and what a first experiment should establish.
Bring the intended user, the decision and examples of a useful outcome.
Working together
For teams with a question to resolve.
Product leaders, technical teams and domain specialists who need evidence before their next AI investment or engineering decision.
Technical teams
You need a focused prototype, a comparison of approaches or a clearer understanding of an existing system's failures.
Bring the technical context and the constraints your team will need to work within.
Domain specialists
You understand the material and the consequences of an incorrect answer. You want to test whether AI can assist a bounded task.
Your judgment helps define what the assessment must reward, reject or leave unresolved.
When the work is useful.
There is a real uncertainty, an owner for the decision and willingness to act on what the evidence shows. If the outcome cannot change the plan, an investigation may not be the right investment.
Representative data is valuable, but not always available at the start. Identifying the required material and permissions can be part of feasibility. Synthetic examples must be clearly labelled and their limits recorded.
Choose AI Research & Feasibility to define the investigation, AI Proof of Concept to test an assumption, or Model Evaluation & Benchmarking to assess existing approaches.
For a full production software or automation build, Softomate Solutions is the implementation business. Research findings can also be handed to your own delivery team.