Dioram

Dioram is a deep-tech entity specializing in advanced positional tracking technologies. Founded in 2017 by Alexey Dovzhikov, Vasily Meshcheryakov, and Oleg Scherbakov, the company leverages their collective expertise in founding successful tech ventures (eLama, CoinKeeper) and deep academic knowledge in machine learning and computer vision. The firm targets its B2B solutions toward hardware manufacturers in high-growth sectors such as AR/VR, autonomous vehicles, robotics, and drones.

The core of Dioram's offering is its proprietary Simultaneous Localization and Mapping (SLAM) technology. This system facilitates 6-DoF (six degrees of freedom) inside-out positional tracking, which allows devices to understand their location and orientation in a three-dimensional space without external sensors. The technology is built upon a combination of stereo cameras, inertial measurement units (IMUs), and deep learning neural networks. A key differentiator is the use of optical flow techniques over traditional key point detection, which provides more robust performance in challenging conditions like bright sunlight, large open spaces, and areas with moving objects. Dioram also offers a fully inertial tracking option powered by deep learning for specific use cases.

For its clients, Dioram's business model revolves around providing its SLAM One laboratory SDK (Software Development Kit). This enables hardware producers to integrate precise tracking into their products using readily available, mass-market components, thereby lowering development costs and accelerating time-to-market. The company secured 35 million rubles in a seed funding round in December 2020 to advance its technology to an industrial-grade sample. Previously, it had also raised capital in a 2018 pre-seed round from angel investors. Keywords: positional tracking, SLAM technology, 6-DoF tracking, computer vision, deep learning, autonomous navigation, inside-out tracking, robotics perception, AR/VR tracking, inertial measurement unit, sensor fusion, optical flow, simultaneous localization and mapping, machine learning, SDK, hardware manufacturing, autonomous vehicles, drone navigation, warehouse management systems