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AI Resilience in the Digitalization of the Forest Industry

Reference number
Coordinator Katam Technologies AB
Funding from Vinnova SEK 150 000
Project duration January 2026 - April 2026
Status Ongoing
Venture Advanced digitalization - Industrial needs-driven innovation
Call Collaborations with the US in AI, digital infrastructure and cyber security

Important results from the project

The project completed partnership plans with U.S. partners and a report on sustainability support. Geolocation AI is partially complete, the digital twin work has begun, while cybersecurity analysis remains. Additional outcomes include participation at Nvidia GTC and networking with Swedish companies, providing valuable international contacts and technical insights. Long-term, this strengthens Katam’s position for international scaling, technical competitiveness, and ecosystem collaboration.

Expected long term effects

The project is expected to deliver long-term strengthened international positioning through established Silicon Valley partnerships and enhanced technical competitiveness with resilient geolocation AI and a scalable digital twin. Networking contacts from Nvidia GTC and Swedish companies create a foundation for new collaborations. The connection to sustainability reporting increases market relevance. Overall, the conditions for global scaling and business development are accelerated.

Approach and implementation

The project combined technical development with strategic positioning. The approach included producing technical design documentation, architectural sketches, and risk and integrity analyses. Collaborations with companies were established, and networking efforts were carried out through participation at Nvidia GTC. The project was structured around five main objectives with associated deliverables, with work conducted continuously against both technical outcomes and international partnerships.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 4 May 2026

Reference number 2025-04727