This project unlocks the potential of connected e-bikes to promote a sustainable European cycling industry. While e-bikes are growing rapidly, they lack the “connected experience” seen in the automotive sector. See.Sense’s patented technology transforms e-bikes into fully connected devices, capturing sensor data on rider safety and road conditions beyond basic GPS.
The project will pilot with Dun Laoghaire Rathdown County Council and MOBY BIKES LTD across public bike share, private fleets and courier bikes. Workshops with the University of Exeter will apply design thinking to AI-powered dashboards co-created with customers – city planners, employers and fleet operators. These insights on safety, CO2 savings and rider scores will unlock new services and revenue streams.
Impact: Short-term, the project will co-create data dashboards and validate business models. Medium-term, the project will form partnerships to scale. Long-term, the project’s solution could expand across Europe, setting a new standard for connected cycling data.

Project start:
Project end:
Budget:
Countries
The global micromobility market will reach $520 billion by 2035 (McKinsey). Spinovate will demonstrate how micromobility fleet operators can unlock new business models using data.
See.Sense technology gathers advanced data on a MOBY bike fleet and AI data dashboards are developed to unlock new business model opportunities.
The project delivers AI-powered dashboards for planners, fleets and employers, enhancing safety, sustainability, predictive analytics, infrastructure planning, fleet management and corporate ESG reporting.
SPINOVATE deployed 60 connected cycling devices across Dublin, generating over 36,000 km of behavioural sensor data, complemented by 46,000 km of contextual cycling data. The project delivered a working intelligence dashboard with three core modules: Hotspot Analysis, Abnormal Event Change Detection and Route Popularity Change. Using adaptive normalisation, uncertainty-aware clustering and confidence-weighted ranking, the system produced prioritised hazard hotspots validated with city stakeholders. The live demonstration confirmed alignment between detected risks and known infrastructure challenges. Council engagement continues to explore application of insights to ongoing infrastructure upgrades and future cycling safety planning.