Broad collaboration gives Metropolia the capability to operate, develop and apply Supersight’s privacy-first edge AI infrastructure across research, education and new real-world applications.
Helsinki, 28 September 2026 – Metropolia University of Applied Sciences and Finnish edge AI company Supersight have entered into a strategic partnership aimed at accelerating the development of new Physical AI applications.
The collaboration enables Metropolia’s researchers, teachers and students not only to use Supersight’s technology, but also to build new applications on top of the same reusable infrastructure.
Physical AI applications connect artificial intelligence with the physical world: they observe what is happening in real environments, transform those observations into structured information and connect the results to digital workflows, decisions and, where appropriate, automation.
Supersight uses standard Android devices as programmable edge AI nodes. Computer vision runs locally on the device and produces structured metadata, while fleets can be remotely managed and observations connected to other systems through APIs. Software can then expand what organisations do with the same deployed infrastructure.
This allows new applications to start with the operational problem to be solved rather than with building the entire sensing, edge-computing and data infrastructure from scratch.
“Our strategy is to enable organisations to build their own Physical AI applications. Metropolia is an excellent partner for demonstrating this model: we provide reusable infrastructure, while their researchers, teachers and students can focus on creating and validating entirely new applications,” says Kimmo Pentikäinen, CEO and Co-founder of Supersight.
Under the partnership, Metropolia will build the capability to provision devices, deploy machine vision models, use APIs and reporting tools, develop integrations and contribute to software development.
“The collaboration gives us a practical platform for combining research, education and experimentation. By developing our own capability to operate and extend the environment, we can move faster from an idea to a real-world experiment and involve students directly in developing new applications across different disciplines,” says Timo Roine, Ph.D., Head of Degree Programmes, Metropolia University of Applied Sciences.
Potential application areas include greenhouse automation, smart buildings, education environments, construction and infrastructure, industrial environments and public services.
Across these areas, physical-world observations can be combined with operational context such as schedules, capacity, process information or business KPIs. Supersight’s strategy is to make this connection increasingly repeatable across applications, portfolios and markets. This directly reflects the investor-deck framing that measurements become more valuable when connected to operational context and that this connection should become repeatable.
Metropolia University of Applied Sciences is Finland’s largest university of applied sciences and a multidisciplinary higher education institution operating in the Helsinki metropolitan area. Metropolia combines education with research, development and innovation activities and works with companies and other organisations to develop practical solutions for society and working life.
Supersight enables organisations to build Physical AI applications. The Finnish edge AI company provides privacy-first, programmable infrastructure for understanding and interacting with the physical world. Its approach allows customers and partners to expand from individual measurement applications toward multiple applications running on reusable physical-world infrastructure.
For further information
Supersight Oy
Kimmo Pentikäinen
CEO & Co-founder
+358 50 506 5412
kimmo@supersight.fi
www.supersight.fi
Metropolia University of Applied Sciences
Timo Roine
Ph.D., Head of Degree Programmes
Metropolia University of Applied Sciences
+358 50 4477 922
timo.roine@metropolia.fi
www.metropolia.fi/en