Appel à projets
Open Horizons project - Open Call #1

The Challenges
The Challenges
As part of this initiative, a curated set of real, market-driven challenges provided by leading corporates was identified. These challenges represent concrete technological problems that require innovative, deep-tech solutions—offering startups a unique opportunity to test, validate, and potentially co-develop their technologies with realworld applications and demand.
Startups applying to this call will be invited to select one of the published challenges that aligns with their solution and propose how they can address it.
Note: Startups are expected to propose one or more components that contribute meaningfully to the overall solution. A complete or 'full stack' delivery is not required
Number | Challenge title |
1 | Enhancing Infrastructure Resilience: A Data-Driven Approach for Assessing Grid Disruption |
2 | Intelligent Congestion Management for Electricity Distribution Networks |
3 | Unified Data Integration Platform for Prosumers' Energy Flows |
4 | Autonomous Cyber Digital Expert for IT & OT Threat Detection and Response |
5 | Adaptive Optimization Algorithms for Urban EV Charging Networks |
6 | Towards Reliable and Data-Efficient Machine Learning for Engineering Simulation |
7 | Enabling Secure and Efficient Model Exchange in Simulation Workflows |
8 | AI-powered tool to revolutionize formulation development using secondary data sources |
9 | Innovative Automatic Forecasting Tool Leveraging Public Data |
10 | Multidirectional energy flows: Vehicle-to-grid-to-home. Designing powerful inverters |
11 | Comparative tool for renewable thermal solutions, based on hourly demand profiles |
12 | Improved photosynthesis of microalgae |
13 | Innovative solutions for a Smart(er) Home |
14 | Sound absorbing, acoustic meta-material |
15 | Building Tomorrow – Low-Carbon & Circular Construction Solutions |
16 | Prediction of Fabric Physical Properties and Suitable YarnDensity Combinations Based on MRP Data |
17 | Automatic Machine Assignment and Optimization of Weaving and Dyehouse Production Processes Based on Yarn and Fabric Parameters |