Cognibotics, a Swedish deep-tech robotics company, has been selected for €6.5 million in blended finance from the European Innovation Council Accelerator under the Horizon Europe programme of the European Union. The funding includes a €2.5 million grant and €4 million in equity financing.
The funding will support the next stage of development and industrialisation of HKM1800, Cognibotics’ robot platform for logistics and manufacturing.
The breakthrough combines a new hybrid kinematic design with advanced motion control, making it possible to deliver delta-class speed with a 10 times larger workspace, while using around one-third less energy than traditional robots.
Together with software for model-based motion control and powerful programming, HKM1800 is designed to reduce engineering effort, speed up commissioning, and make advanced automation easier to scale.
This makes HKM1800 a new class of industrial robot, offering quick installation and more than 2,000 picks per hour across a 10 square meter workspace, breaking the traditional speed/reach trade-off.
Fredrik Malmgren, CEO of Cognibotics, says: “This is an important validation of both our technology and our direction as a company.
“The project is not only about bringing HKM1800 to market, but also about advancing the software and automation approach behind it. Together, this gives us a strong platform for scaling in logistics and manufacturing.”
Cognibotics was also highlighted by the EIC as one of only five example companies in its official announcement of the latest funding round, and would like to acknowledge GAEU Consulting for its valuable support throughout the EIC Accelerator application process.
As part of the application process, Cognibotics also produced a pitch video presenting the company’s vision, the HKM1800 platform, and the software approach behind the project.
The project addresses the growing demand for more scalable automation in Europe, driven by labour shortages, rising throughput requirements, and the need for more energy-efficient industrial systems.
