Flow Labs announces the commercial availability of Max, an agentic system purpose-built for complex traffic engineering and transportation planning workflows, delivering engineering work at 100 times lower cost than traditional engineering.

Following a successful pilot, DDOT will enhance operations and performance monitoring at more than 1,600 signalized intersections citywide.

Flow Labs announces the launch of FlowMCP a new interface that lets transportation agencies connect their own AI agents to the data and tools in the Flow Platform

Flow Labs announces the commercial release of Optimus Gen2, the next generation of its signal optimization platform powered by Prometheus, a new engine built on transformer architecture purpose-built for signal networks.

New AI-powered capabilities and fully integrated real-time APIs now live at scale, delivering actionable traffic insights across FDOT’s systems

The North Carolina Department of Transportation (NCDOT) has partnered with Flow Labs to deploy its AI-powered traffic signal operations software solution across the state.

50% of signal operations problems are a result of faulty detection. Detector health should be one of the first questions to answer when a complaint comes in.

Agencies waste retiming budget on signals that timing can’t improve. Flow Labs’ new Improvability Index estimates a corridor’s improvement potential before the work begins, so teams target the corridors where retiming will actually pay off.

Part 2 of the series: validation. Before a timing plan is deployed, Split Analysis lets you check every split, fine-tuning lets you correct the ones that need it without rebuilding the plan, and the time-space diagram shows the effect on progression — so you deploy a plan you understand rather than one you are hoping about.

Agencies have more data than ever but see little benefit from it. The value comes from integrating data, not just aggregating it, and a single left-turn phasing decision shows why broad data beats big data.

Most engineers don't fully trust the timing plans they deploy. Optimus's performance predictions forecast delay, arrivals on green, and queue length down to the movement level before anything reaches a controller, so you know what a plan will do before it does it.

A new metric for catching corridor congestion before it spreads.