We develop software solutions to enable hand interaction between humans, computers and robots.

Our Solutions

Virtual Reality

Our software VirtualGrasp™ is the first solution to enable free and natural-looking hand interaction in VR. VirtualGrasp™ animates the movement and interaction between a hand and any kind of virtual objects in real-time and works with the major hardware input controllers on the market.

Virtual Training

Learning by interacting has been proven to enhance the effect of the training. We enable hands-on virtual training that mimics tasks from real life. Our solution has been proven to enhance the memorization ability significantly and thus reduce errors done after the training.

Healthcare

We enable people suffering from impaired mobility to perform computer-based rehabilitation exercises by predicting and visualizing intended body movement. We have developed solutions for stroke rehabilitation and currently collaborate with clinicians and researchers.

Robotics

We develop software to enable real time interaction for robotic hands. Our software makes it possible for robots to pick up objects without being restricted to pre-programmed repetitive movement.

About Us

Gleechi AB was founded in 2014 and has been awarded as The Super Startup of the year by Veckans Affärer, winner of EIT DIGITAL Idea Challenge, awarded as one of Sweden’s most promising startups by NyTeknik, listed as one of Europe’s top 50 startups and is supported by several innovation clusters, including MIT SOLVE, H2020, STING, VINNOVA, KTH Innovation, EIT DIGITAL, and ALMI. Gleechi is founded by awarded entrepreneurs and top-ranked researchers from the robotics research group at KTH, Sweden’s leading technical university.

Our team combines experiences in Human Computer Interaction, Machine Learning, Computer Vision, and Algorithm Development from both academia and industry. The technology is based on eight man years of research and the novelty and technical viability of the research was verified by around 30 scientific publications in major robotic conferences and journals. The research was crowned with the Best Manipulation Paper Award at the “International Conference of Robotics and Automation” one of the two major robotic conferences world-wide.