Summary
- Profile Type
- Research & Development Request
- POD Reference
- RDRBE20250414019
- Term of Validity
- 15 April 2025 - 15 April 2026
- Company's Country
- Belgium
- Type of partnership
- Research and development cooperation agreement
- Targeted Countries
- France
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General information
- Short Summary
-
The company has developed an AI-powered platform that automates public funding processes, from data extraction
to application submission. This technology streamlines workflows, ensures compliance and maximizes funding
opportunities. They are specialized in AI-based decision support, data management and automation. They are
focusing on the recommendation engine which takes raw data (public funding) and matches them with other raw
data (legal entities). - Full Description
-
Their main clients are SMEs, startups, large corporations, as well as public and private business support
organizations seeking public funding opportunities for themselves and other stakeholders. They work with
companies in a variety of sectors, including technology, sustainability and innovation-driven industries. Their
platform is adaptable to different regulatory frameworks and is scalable for international expansion.
The aim is to create a matching system between, identifying complementary characteristics between different
objects (e.g. companies, projects, funding sources, technologies, etc.).
The key innovation is the development of an “intelligent bridge” that dynamically identifies the “best other object”, be
it, for example, a relevant funding opportunity, a strategic business or technology partner, or a missing element in an
innovation project.
To improve this system, the customer needs to:
1. Data management and mapping techniques to discover hidden links between objects.
2. Ontology-based AI models to refine object classification and linking.
3. Predictive analysis to anticipate opportunities and trends. - Advantages and Innovations
-
The goals of this project are :
1. Create a recommendation system that integrates and analyzes data to match objects based on specific
characteristics with an accuracy of at least 90% relevance.
2. Integrate semantic AI models to improve classification and relationship mapping, guaranteeing at least 90%
matching accuracy between two parties.
3. The recommendation system should be adaptable to different use-cases; - Stage of Development
- Under development
- Sustainable Development Goals
- Goal 8: Decent Work and Economic Growth
- Goal 9: Industry, Innovation and Infrastructure
- IPR status
- Secret know-how
Partner Sought
- Expected Role of a Partner
-
The company is looking for expertise in unstructured and complex data management and processing. They are also
looking for profiles similar to their own to create a pool of expertise.
The company needs shall have expertise in at least one of the following domains:
1. Data management and mapping techniques to discover hidden links between objects.
2. Ontology-based AI models to refine object classification and linking.
3. Predictive analysis to anticipate opportunities and trends. - Type and Size of Partner
- SME <=10
- SME 50 - 249
- SME 11-49
- Type of partnership
- Research and development cooperation agreement
Call details
- Framework program
- Interreg
- Call title and identifier
-
Interreg Crossroads Nord de France - Wallonnie - France
- Coordinator required
-
No
- Deadline for EoI
- Deadline of the call
- Interreg
Dissemination
- Market keywords
- 02007021 - Other Artificial intelligence related
- 02007020 - Artificial intelligence programming aids
- 02007023 - Web semantics
- 02007016 - Artificial intelligence related software
- 02006004 - Data processing, analysis and input services
- Targeted countries
- France