The Industrial AI Awards for Startups 2025 (Europe)

Deadline: 24 March 2025

Applications are now open for the Industrial AI Awards by Siemens – celebrating visionary startups transforming AI into real-world impact.

Spotlighting success in solving industrial challenges, the Awards aim to accelerate AI solutions, promoting collaboration and growth across industries.

Benefits

AI with Purpose Summit
- Each finalist will be invited to attend the Summit, benefitting from a dedicated exhibit booth and the opportunity to present themselves to their audience of AI leaders
Scale Up Package: Ecosystem
- Winners will receive personalized onboarding to Siemens Xcelerator Marketplace & bespoke communication activities for exposure
Scale Up Package: Growth
- Dedicated consultation with industrial AI leaders and C-level managers for funding, growth and network opportunities
Trophy & Certificate
- The 3 winners will be recognized with a prestigious award

Eligibility Criteria

You are a Startup:
- Your company is owned and managed by the founders as a non-listed private company (not acquired by another entity)
Based in Europe:
- Your startup is founded or at least anchored in Europe by office presence
In the industrial domain:
- You provide AI-based offerings focused on industrial areas such as PLM, Simulation, Automation, Maintenance and Service, Energy Management, Building Management, Industrial Product Design, Industrial AI Operations, Industry Data Management
With first references:
- You have already run successful monetized projects with customers

Selection Criteria

They will shortlist the finalists with the following criteria in mind:
- Emphasis on industrial-grade implementation:
  - Robustness & reliability (e.g. fit for demanding conditions)
  - Accessibility for non AI-experts/advancing human-machine interaction (e.g. explainability, transparency)
  - Scalability of the solution
  - Data protection & security
- Business Impact:
  - Contribution to new business models
  - Advancing resource efficiency and/or sustainability
  - Addressing skills challenges
  - Customer references demonstrating value