Factory SensAI - Data Integration enabling AI for Factories
| Reference number | |
| Coordinator | Chalmers Tekniska Högskola AB - Chalmers Tekniska Högskola Inst f Industri- & materialvetensk |
| Funding from Vinnova | SEK 7 606 000 |
| Project duration | August 2025 - July 2028 |
| Status | Ongoing |
| Venture | Advanced digitalization - Industrial needs-driven innovation |
| Call | Advanced digitalization - Industrial innovation 2025 |
Purpose and goal
• Integrate data from machines, products, and quality into a scalable AI architecture. • Develop AI solutions for changeovers and operator support in industrial environments. • Validate solutions in three factories with varying levels of digital maturity and needs. • Establish a shared platform to enable the development of AI services for SMEs • Ensure human-in-the-loop for usability, trust, and learning in all AI applications.
Expected effects and result
The project is expected to lead to scalable AI solutions for transformation and operator support, validated in factories with different digital maturity. A common AI platform for SMEs is established at Chalmers. Through human-in-the-loop design, usability and trust are increased. The results strengthen the competitiveness of the industry and accelerate the spread of industrial AI in Sweden.
Planned approach and implementation
The project is driven in six work packages with cross-functional collaboration between industry, academia and solution providers. Use cases are identified and validated in factories and testbeds. AI solutions are developed modularly, tested iteratively and scaled up through a common platform and training kit. Human-in-the-loop and interoperability are ensured at all stages.