We inform data-driven decisions
about the most pressing urban issues.
Prioritize public health inspections to the riskiest restaurants first.
Using real-time open data we predict which restaurants will fail health inspections and prevent foodborne illness. By prioritizing inspections by data-driven risk, health departments can find more violations, sooner, recapturing millions in cost savings.
We are keen to adapt other proven examples
to places with the same issue and similar data.