Test AI in real environments — not just in theory

Tampere offers real-world testing environments where AI solutions can be developed, validated, and prepared for scaling — connecting companies, research, and city infrastructure.

From idea to real-world validation.

Testing environments that connect companies, research, and city infrastructure.

Tampere offers real-world testing environments where AI solutions can be developed, validated, and prepared for scaling. Testbeds connect companies, research, and city infrastructure — enabling practical experimentation with real data, systems, and users.

Tampere City Lab provides access to physical and digital testing environments across the city. These environments support different stages of development — from early validation to piloting and deployment in real operating conditions.

Companies, researchers, and public actors work together, making it possible to test solutions where they are actually used.

Tampere City Lab – Testing and Experimentation Environments

Tampere City Lab provides virtual and physical testing environments within a real city context. It connects solution providers, researchers, and public infrastructure, enabling testing, piloting, and data-driven development in collaboration with city operations.

The testbeds support different stages of development — from early validation to real-world deployment.

Tampere IoT Platform

City-wide sensor and data infrastructure built on streetlight networks. Enables data-driven development and testing of AI applications.

 

Hervanta Testbed

Urban district focused on smart mobility and autonomous transport. Real traffic environments combined with a digital twin.

 

Energy Testbed

Infrastructure for renewable energy, storage, and optimisation. Supports testing of energy systems in real urban conditions.

 

Nokia Arena Testbed

Large-scale event environment with 5G and indoor positioning. Designed for high-density, real-time use cases.

 

What you can do in the testbeds

Validate solutions

Test AI solutions in real operating environments before wider deployment.

Access infrastructure and data

Use test environments, city infrastructure, and relevant data sources for development.

Run pilots

Pilot solutions with real users, stakeholders, and operating conditions.

Prepare for scaling

Generate the validation and practical insights needed for wider adoption and commercial use.