Stridel is a data science company. We measure how people move, and how easily they reach the things they need, across every mode of transport. Walking included.
How easy is it to get around here? How well does a place actually connect? Questions like these are hard to answer well. We use data science to turn them into clear measures, grounded in real data rather than assumption.
We build measures the way data scientists build models. Method, calibration and validation, not gut feel.
Every measure is anchored to real data, so the numbers reflect how movement actually works, not how we wish it did.
Measures you can act on. Defensible, repeatable, and honest about what they miss.
One method sits behind everything we build, so each new measure inherits the rigour of the last.
Turn a real-world question about movement into something measurable at fine grain.
Engineer the measure from the right data, using sound data science methods.
Test it against real data so it holds up, and keep it honest about its limits.
Hand over measures and tools decision-makers can actually use.
Movement is where we start. Every mode by which people get around and reach the places they need. Walking came first. The same approach reaches across the other ways people travel.
We'd like to hear it. For collaboration, data, or working together: