R&D & Consortia
Artabel AG contributes applied AI expertise, rapid prototypes and implementation support to collaborative R&D projects and EU consortia.
Artabel works with research and industry partners to turn AI ideas into prototypes, pilots and proposal-ready technical work packages.
We are especially interested in collaborative R&D projects and Swiss or EU-funded calls in medical, industrial, agri-food, defence/security and dual-use domains.
Our role in collaborative projects
Applied AI development
We design and develop AI methods for concrete research and industry use cases.
Rapid prototyping
We build early prototypes to test feasibility, reduce uncertainty and generate technical evidence.
Evaluation and validation
We help define success criteria, evaluation methods, performance measures and validation workflows.
Pilot implementation
We support the transition from prototype to pilot, including interfaces, data workflows and integration with existing systems.
Technical work packages
We contribute to proposal design, technical planning, prototype implementation and demonstrator development.
What we bring to a consortium
- Applied AI and machine learning expertise
- Experience with multimodal data
- Rapid proof-of-concept development
- Practical implementation and integration mindset
- Ability to connect research ideas with working software
- Focus on medical, industrial, agri-food and defence/security applications
- Understanding of defence, security and dual-use prototype constraints
- Clear communication with technical and non-technical partners
Typical contribution areas
Feasibility and technical scoping
We help assess whether an AI idea is technically realistic and what evidence is needed to move forward.
Prototype and demonstrator development
We build working prototypes that can be tested, demonstrated and improved during the project.
AI model development
We design models and workflows for image, text, tabular, sensor and time-series data.
Evaluation design
We support the definition of validation metrics, experimental protocols and reporting outputs.
Implementation bridge
We help translate research outputs into usable pilots, workflows and information systems.
Domains of interest
Medical and MedTech
AI for medical imaging, life-science data, research workflows, decision support and secure prototype environments.
Industry and engineering
AI for predictive analytics, anomaly detection, reliability, quality, document intelligence and operational information systems.
Agriculture and agri-food
AI for crop monitoring, greenhouse analytics, quality analysis, field observation and decision-support systems.
Defence, security and dual-use
AI for cyber resilience, secure information systems, sensor and drone-data analysis, critical infrastructure and operational decision support.
Proposal collaboration
Artabel can join early proposal discussions to help define:
- The technical feasibility of the AI component
- The prototype or demonstrator concept
- The data requirements
- The evaluation approach
- The implementation pathway
- The role of AI in the broader consortium
- The security, validation and deployment constraints for sensitive use cases