On-demand microtransit software and operations for public transit agencies
RideCo builds dynamic on-demand transit for public agencies on a Python/Django and Flask backend with Celery and RabbitMQ job queues, PostgreSQL and Redis on AWS managed via Terraform. Native Android work in Kotlin and Jetpack Compose alongside Ionic/Angular points to rider and driver apps maintained in parallel. Current hiring is small and mid-level, spread across data, engineering and support, with job posts centered on new service launches and meeting delivery KPIs.
RideCo is a Waterloo, Ontario-based company, founded in 2013, that provides on-demand transit technology and services to transit agencies. It works with agencies and fleet operators to design, simulate, launch and run microtransit services, with a focus on optimization, data science and operations research. Its customers are public transit agencies, and its riders are members of the public using those services. The company is privately held and has 51–200 employees.
RideCo uses Python with Django and Flask, Celery and RabbitMQ, PostgreSQL and Redis on AWS with Terraform, Angular and Ionic, Kotlin with Jetpack Compose for Android, plus Prometheus, Grafana and Elasticsearch.
RideCo is headquartered in Waterloo, Ontario, Canada, and was founded in 2013.
Job posts point to new on-demand service launches, service design optimization, client onboarding configuration, incident response processes and knowledge base documentation.
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RideCo On-Demand Transit's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.