Performance optimization platform for public transit networks
CitySwift builds a SaaS platform that helps bus operators and transport authorities optimize network scheduling, timetabling, and resource allocation using machine learning and predictive analytics. The tech stack—BigQuery, Dataflow, Airflow, and LookML on GCP—reflects a data-and-analytics-first architecture designed to extract insights from operational transit data. Heavy sales hiring (8 roles) against minimal engineering (2) signals a company focused on customer expansion and retention rather than product velocity, while their documented pain points (renewal rates, customer churn, adoption friction) align directly with the customer success and account expansion work dominating their project backlog.
Notable leadership hires: Partner Director, Sales Director
CitySwift operates a performance optimization platform for bus networks, combining big-data analytics with machine learning to help operators solve scheduling, efficiency, and cost problems. The product sits at the intersection of transportation operations and data intelligence: it ingests transit data, generates predictive models and recommendations, and surfaces insights through business intelligence tools (LookML). Founded in 2016 and headquartered in Galway, Ireland, the company operates across three geographies (Ireland, France, Australia) with a 51–200 person team. Customers range from small regional bus operators to large transport authorities; the company is expanding into mainland Europe while managing a diverse customer base with varying technical maturity and adoption patterns.
CitySwift runs on Google Cloud Platform (GCP), using BigQuery and Firestore for data storage, Dataflow and Cloud Composer for pipelines, LookML for analytics, and Java/Kotlin/Python for backend services. They also maintain AWS and Azure integrations, with Snowflake and Redshift for data warehousing.
Current projects include customer ROI reporting, predictive simulation adoption, expansion into mainland Europe, and account review/QBR materials. Internally, they're focused on renewal support, onboarding, and improving customer adoption and expansion.
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