XCube R&D
Testing and training of deep learning algorithms, efficient development of safety critical autonomous systems.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor investor | €0.0 | round | |
| N/A | N/A | Seed | |
| Total Funding | 000k | ||
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XCube R&D, Inc. was established in March 2010, co-founded by Mikael Taveniku and Satish Jha. Taveniku, serving as CEO, brings over 25 years of experience in technology leadership across fields like intelligent machinery and high-performance computing. Jha, who has served as Chairman and CEO, is also an angel investor. The company was formed to address the challenges of testing and ensuring the safety of autonomous systems.
The firm provides a fully integrated, end-to-end software toolset and application framework designed for the management and automated testing of systems that handle massive amounts of streaming data. Initially developed for unmanned aerial vehicles in the defense sector, the company pivoted its focus to the automotive market, specifically targeting Advanced Driver-Assistance Systems (ADAS) and autonomous driving technologies. XCube's platform helps automotive companies manage petabyte-scale multi-sensor data sets and prove the safety of their systems. The technology enables existing simulators to run in parallel without being recoded, which can increase performance by a factor of 10 to 20. It employs a content-based search engine to automatically tag relevant segments of video and sensor data for simulations, a process that avoids the massive data transfers typically required.
XCube's primary clients are automotive Original Equipment Manufacturers (OEMs) and their Tier 1 suppliers, with Honda and Volvo having been in the proof-of-concept stage. The business model is structured around a tiered pricing strategy, starting with proof-of-concept systems sold for $50K-$100K, followed by initial production systems at $500K-$1M. Full production for a single automotive platform is projected at approximately $6M. Although the company had been shipping products for revenue since 2011 and received funding from entities like Beacon Angels, some industry data sources now list the company as inactive or 'deadpooled'.
Keywords: autonomous systems, ADAS, automated testing, big data management, automotive software, simulation framework, sensor data, safety assurance, data recorder, vehicle safety