The global AI training dataset market size is growing fast, while AI is gaining significant importance in various industrial applications requiring high-quality training data to make sure that algorithms are continuously optimized.
The booming demand for application-specific training data is also opening opportunities for new entrants. R&D teams still spend weeks or months on the preparation and annotation of manually collected data which is translated to wasting valuable resources that could be saved if this process was automatized.
MoCap refers to the digitization of human body movements, commonly in the form of joint 3D positions and angles in time, enabling the natural and accurate replication of human performances in physical dimensions.
Moverse focuses on the release of next generation human digitization technologies, starting from the development of accurate, affordable, AI-based optical MoCap. Company’s product, MOVCAP, comprises of an optical multi-sensor system, which offers real-time, scalable, portable, and affordable MoCap.
To overcome the challenges associated with existing MoCap solutions, the company leverages state-of-the-art, optimized deep learning techniques. This positions MOVCAP uniquely to be able to address well-known MoCap barriers (either of marker-based or markerless solutions), such as the high costs of specialized equipment and its maintenance, the need of body structure or marker calibration before shooting, the heavy data processing and increased latency, the manual postprocessing for motion data solving and cleaning, and more.
Based on its unique approach for MoCap and to better monetize its offering, the company also launches a human motion capture data platform providing high quality human-centric training data for leading machine learning teams acting in the respective field.
Combining long experience in solving vision-based problems, especially in the field of motion capture and human pose estimation, and expertise in building multi-sensor vision systems, the company exploits scale and translation invariant representations to train its networks allowing the models to overcome bias, as most of the AI-driven approaches are suffering from and generalize well.
Moverse’s founding team consists of 4 ML engineers, experts in the field of MoCap technology. Argyris Chatzitofis, CEO, Nikos Zioulis, CTO, Spyros Thermos, CPO and George Albanis, COO have already faced sector’s challenges from various viewpoints: as researchers in top class research centres and universities, as engineers — key employees — in startups aiming to develop and commercialize MoCap tech products and as entrepreneurs with a positioning deriving from a clear problem-solution fit.
We invest in Moverse, because we believe that the end-to-end approach in the MoCap market, from making better, easier and cheaper data sourcing to efficiently develop, manage and organize the data through the platform aiming to use them as the cornerstone for human-centric AI products, would give the company the opportunity to secure a big fan base as adopters rather than clients. We invest in Moverse because MoCap applications have an uncapped potential in various industries. Importantly, we invest because we believe that the founders are among most innovative and promising experts in this field worldwide having also the vision and capacity to commercialize a ground breaking product to disrupt the market.
