In 2021, Aaliyah Washington was wrapping up a network redesign project for a regional transit authority in Central Texas. The hardest part wasn't the planning judgment — it was reconciling three-year-old O&D survey data, quarterly AVL boarding exports, and a regional travel demand model that hadn't been calibrated since before the pandemic. She knew what the demand patterns looked like from riding the corridors. She had no way to show it analytically. That problem became Mobvynt.
Cities generate enormous volumes of mobility data through the systems they already operate — GTFS schedule feeds, GBFS bike-share APIs, NTCIP intersection count streams. Most of that data sits in departmental silos and never reaches the planners who are making route redesign decisions with outdated O&D surveys.
Mobvynt's premise is direct: fuse those open feeds into a single H3 demand surface, and transit agencies have the same quality of spatial demand intelligence that private rideshare operators use internally — built for public mobility, open data standards, and equitable service analysis. We are not a consulting firm and we don't sell proprietary location data. Every source we use is a public standard your agency already publishes or operates.
We work with agencies of all scales. A four-route county connector and a multi-modal regional authority both need defensible demand evidence. The platform is sized accordingly.
CEO & Co-founder
Before founding Mobvynt, Aaliyah spent four years as a transportation demand modeler at Meridian Urban Analytics and two years as a data analyst for a regional transit authority in Central Texas, working directly on bus network redesign and Title VI compliance documentation. She holds an MUP from UT Austin. Founded Mobvynt in 2021 with the conviction that planning agencies should not need a consulting engagement to see their own demand patterns.
Chief Data Officer & Co-founder
Geospatial data scientist with a background in applied spatial statistics and large-scale mobility datasets. Previously led demand modeling infrastructure at Axiom Transit Data, a civic-data analytics firm. Co-authored internal H3 aggregation methods that became the foundation of the Mobvynt demand surface engine. Active in the GBFS open standard working group.
Head of Engineering
Full-stack engineer specializing in real-time data pipeline architecture and geospatial compute. Designed the GTFS-RT ingestion, normalization, and H3 aggregation engine at the core of the Mobvynt platform. Previously built data pipeline infrastructure at Lodestar Freight Analytics before joining Mobvynt as the first engineering hire in 2022.
Head of Customer Success
Former transportation planner at a Sun Belt regional MPO with seven years of experience in CMAQ project development, LRTP scenario modeling, and NTD reporting. Understands what transit planning staff actually need from a data tool and how agency procurement cycles work. Leads onboarding, GTFS integration, and ongoing training for Mobvynt agency partners.
We work directly with transit agencies, DOTs, and MPOs of all scales. No sales cycle required for a 30-minute demo — bring your GTFS feed and see results from your own network.
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