Does it actually work?

The riskiest moment in any software project is the decision to build. The Experiment phase removes that risk by putting working software in front of real users and real data before you commit budget to a full build.

We define a clear hypothesis, set success criteria upfront, and build the smallest possible test that answers the question. Every experiment ends with evidence—build, pivot, or stop—not opinions. You see it run. Your stakeholders react to it. The data speaks.

This is where DS’s engineering depth matters. We don’t hand you wireframes and call it validation. We build functional prototypes with your actual data—because a mockup can’t tell you whether an AI model performs on your edge cases.