RideCo is an on-demand transit software platform for paratransit and microtransit services. It is used by cities and agencies to manage accessible and flexible public transportation through a set of specialized components.
The platform consists of a passenger app for trip reservation and management, an operations center dashboard for streamlining operations and monitoring service, and an AI agent that handles bookings, trip updates, cancellations, and general inquiries. Additional components include a driver app for in-vehicle location tracking, communication, dispatching, and data collection, plus data insights reporting for operational and business intelligence. A profile manager provides centralized storage for rider information such as preferences, contacts, and orders. Flex fleets offers a brokering solution that allows agencies to scale resources.
It addresses use cases including eligibility, reservations, scheduling, and dispatching for paratransit, as well as underperforming bus routes, low-density area mobility, first and last mile connections, employee commuting, and long-distance commuting for microtransit. The software also supports IT and data needs, operational leadership, and executive leadership roles. Procurement can be streamlined through purchasing cooperatives.
RideCo is delivered as a cloud-based platform. Its page states that it is the most adopted on-demand cloud-based paratransit and microtransit software among the 10 largest cities in the United States.
RideCo sits in PulseGate's Business & Operations category. It focuses on coordinating and scaling on-demand paratransit and microtransit services efficiently for public transit agencies. RideCo is a B2B product aimed at public transit agencies and municipalities. RideCo is sold on an enterprise-only basis. It runs on the web, iOS, and Android.
It is developed by RideCo (Canada). Among its 6 catalogued features are Passenger App, Operations Center, and AI Agent. The interface is available in 4 languages, including English, Spanish, and French.
Summary written by a language model from the project’s public pages.
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