RUBIKSCORP · Pune, India

Applied AI & Machine Learning

Test whether a specific idea can solve a measurable business problem.

Begin with the decision

We start with the operational task, the information available and how success will be measured.

Data assessment

Understand coverage, quality, permissions and gaps before selecting a model.

Proof of concept

Test a narrow approach against a baseline and a defined evaluation set.

A decision about next steps

Review the evidence, limitations and effort needed before considering further development.

Possible areas of work

Computer vision, internal workflow automation, data analysis and operational decision support. Feasibility depends on the data, constraints and acceptance criteria for the individual project.

  1. Agree a task, baseline and acceptance criteria.
  2. Build and test a limited prototype.
  3. Review results and decide whether to continue.

Explore a specific problem

Describe the task and what a useful result would look like.

Send an enquiry