RAPTOR Open Call 2026

Objectif

RAPTOR is a mono-beneficiary call open to small and medium-sized enterprises (SMEs) with solutions capable of addressing one of the specific challenges defined by participating cities. Each city identifies its most pressing mobility issue and invites innovators to propose targeted solutions.

RAPTOR promotes rapid experimentation and applied innovation. The goal is to help cities quickly understand the potential of new technologies and approaches, while offering startups and SMEs a pathway to validate, refine and scale their solutions.

Critères d'éligibilité

The RAPTOR Call is open to proposals submitted by a single SME. As a mono-beneficiary scheme, consortia are not
allowed.
Additionally, the SME must be registered as a legal entity, before the official call deadline, in either an EU member state or a third country associated with Horizon Europe (including Switzerland).

Technologies clés

A concise overview of the City Challenges can be found below:
1. Arteixo (Spain) – How can Arteixo identify and prioritise optimal charging locations for public and municipal fleets?
2. Bălți (Moldova) – How can Bălți improve public transport operations and provide accurate real-time passenger information, encouraging more residents to shift from cars to buses?
3. Berlin (Germany) – How can Berlin quickly identify priority school routes to implement targeted road safety measures for children?
4. Bilbao (Spain) – How can Bilbao improve the mobility of patients, especially older adults, and people with reduced mobility, when accessing health centres?
5. Brussels (Belgium) – How can Brussels enrich EV-charging data to include accessibility and vehicle- size information for more inclusive electric mobility?
6. Salzburg (Austria) – How can Salzburg enhance its internal shared mobility system to increase use across departments and support sustainable staff mobility?
7. Edinburgh (United Kingdom) – How can Edinburgh use existing vehicle data effectively to implement data-driven and differentiated parking charges based on vehicle attributes?
8. Guimarães (Portugal) – How can Guimarães optimise the scheduling, routing, and tracking of deliveries of fresh goods from the municipal market using our e-vehicle micrologistics?
9. Helsinki (Finland) – How can Helsinki use professional fleet vehicles as a data collection platform?
10. London (Borough of Lambeth) (United Kingdom) – How can London dynamically manage kerbside space to improve accessibility and reduce unnecessary traffic?
11. Luleå (Sweden) – How can Luleå promote and increase soft mobility by using winter road-condition data to help citizens choose safe and accessible routes in a subarctic climate?
12. Lviv (Ukraine) – How can Lviv develop an accurate digital inventory of traffic signs and road markings to improve road safety and traffic management?
13. Nitra (Slovakia) – How can Nitra obtain accurate, anonymised boarding and alighting data across its bus network to improve public transport planning?
14. Trento (Italy) – How can Trento help citizens plan better cycling trips and encourage greater use of the existing cycling infrastructure?
15. Wiesbaden (Germany) – How can Wiesbaden better monitor and manage its urban loading zones to improve delivery efficiency and reduce congestion?

Typologie de consortium

With the support of expert advisers, the city then selects the most promising proposal to receive up to €60,000 in financial support and to implement a six-month pilot, including a minimum two-week in-situ demonstration.