Flow — the MobilitiLab platform
Flow brings together data from across the transportation system — planning, operations, safety, assets, and transit — into one place, built from the ground up for AI-first analysis.
In development · first deployments with regional agencies
The problem
Planning, operations, safety, transit, and asset management each grew up with their own tools and teams. A regional question has to reach across all of them. Flow is the layer that brings them together — so the whole system can be analyzed as one.
Flow watches the data and surfaces what matters — a late-night service collapse, a corridor where delay clusters, an incident pattern worth reviewing — in plain language, with the numbers behind it.
Live vehicles, on-time performance by route, bus bunching, and a cost-and-farebox scorecard — the operational picture that usually spans a dozen tools, built as monitors you compose yourself.
Combine employment, demographics, and the bike network to find where cycling-to-work potential is highest — and when a dataset isn't there yet, Flow tells you, and works with what is. Analysis is composed from verified data, never invented.
The platform
Flow is built on a single regional model — one network, one zone system, one set of demand data — so planning, forecasting, and public reporting all speak the same language.
The analyst's environment — networks, scenarios, assignment, accessibility, editing, and comparison.
Travel forecasting you can inspect and trust — not a black box.
The regional transportation picture, made legible for the public it serves.
Built differently
Every figure Flow reports traces back to a real record. When the AI writes a narrative, names a location, or builds a report, a deterministic layer binds it to the underlying data — so the analysis is fast and conversational without ever drifting into invention.
About
Flow is being built by someone who has already built the platform the field relies on — the creator of CUBE, the travel-demand modeling software that became the standard for MPOs and DOTs for a generation, grown through Citilabs to its acquisition by Bentley Systems, and later president of Teralytics, bringing large-scale mobility data into transit analysis.
That history is the point. The last dominant platform in this field was designed before the cloud, before modern data pipelines, before AI could read a region's data and reason about it. Flow is the attempt to build what comes next — with the benefit of having built the previous generation and knowing exactly where it fell short.
MobilitiLab is deliberately small and deliberately careful. Every layer of Flow is verified against a case a planner can check by hand before it ships, no place is hardcoded into the model, and the AI is held to a hard rule: it composes analysis from verified data, and it never invents.
Early access
Flow is in active development, with first deployments underway. If you work at an MPO, a transit agency, a DOT, or consult for them, we'd like to show you.
Or email michael@mobilitilab.com