ML DataMind — REISEDATA S.A.S.

ML DataMind is an open-source transit-data and geospatial infrastructure project developed in Ecuador under REISEDATA S.A.S. We reconstruct fragmented route, stop and geographic evidence into reviewable, structured datasets for downstream public-transport and urban systems. The prototype combines PostgreSQL/PostGIS, map-based review, deterministic checks and bounded AI assistance; suggestions remain distinguishable from verified records. Our proposed contribution to AMAT’s scalable urban data platform is a scoped transit-data ETL and review component, beginning with one jointly selected dataset and testing provenance, interoperability and release quality. We do not claim an implemented Milan pilot, commercial validation or measured direct DataMind beneficiaries. The project began in March 2026 and is maintained by two part-time founders. Earlier rider interaction with Antari provided qualitative downstream evidence of the need for broader transit information, not DataMind user counts. Public source code: https://github.com/josuecuguy1307/datamind-gtfs. Software is MIT-licensed; applicable data licensing and OSM attribution are preserved.