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.

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We are keen to adapt other proven examples
to places with the same issue and similar data.