Voxel51
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Voxel51 Raises $30M Series B Funding to Make Visual AI a Reality
Voxel51, the leader in visual AI, announced that it has closed a $30M Series B funding round. The round was led by Bessemer Venture Partners, with participation from new investor Tru Arrow Partners and existing investors Drive Capital, Top Harvest Capital, Shasta Ventures and ID Ventures. Voxel51 will use this funding to scale up its go-to-market organization, expand its community, invest in AI research and accelerate its roadmap to meet the growing market demand for solutions that unlock the value of visual AI.
Voxel51 offers the antidote to those headaches, transforming the way that AI engineers and teams build visual AI. Voxel51 provides the leading refinery for data and models, where AI builders can simplify and automate their workflows to explore, visualize, curate and test datasets and put them to use to build models and applications. Tens of thousands of AI builders rely on Voxel51’s open source FiftyOne and enterprise FiftyOne Teams offerings to build production-ready visual AI that is dramatically more accurate and robust, improving team productivity by up to 50% and model accuracy by up to 30%. Innovative organizations including LG Electronics, Berkshire Grey, Precision Planting, RIOS Intelligent Machines and Forsight use Voxel51 solutions to help them build innovative visual AI solutions that improve product quality, ensure safety and increase efficiency.
NVIDIA Supercharges Autonomous System Development with Omniverse Cloud APIs
With Omniverse Cloud APIs, developers can enhance the workflows they’re already using with high-fidelity sensor simulation to tackle the challenge of developing full-stack autonomy. This not only streamlines the development process but also lowers the barriers to entry for companies of virtually all sizes developing autonomous machines.
Developers and software vendors such as CARLA, MathWorks, MITRE, Foretellix and Voxel51 underscore the broad appeal of these APIs in autonomous vehicles. CARLA is an open-source AV simulator used by more than 100,000 developers. With Omniverse Cloud APIs, CARLA users can enhance their existing workflows with high-fidelity sensor simulation. Similarly, MITRE, a nonprofit that operates federally funded R&D centers and is dedicated to improving safety in technology, is building a Digital Proving Ground for the AV industry to validate self-driving solutions. The DPG will use the Omniverse APIs to enable core sensor simulation capabilities for their developers. MathWorks and Foretellix provide critical simulation tools for authoring, executing, monitoring, and debugging of testing scenarios. As the GTC 2024 demo showed, combining such simulation and test automation tools with the APIs forms a powerful test environment for AV development. And, by integrating the APIs with Voxel51’s FiftyOne platform, developers can easily visualize and organize ground-truth data generated in simulation for streamlined training and testing.
Leading industrial-sensor solution provider SICK AG is working on integrating these APIs in its sensor development process to reduce the number of physical prototypes, iterate quickly on design modifications and validate the eventual performance. These validated sensor models can eventually be used by autonomous systems developers in their applications.
Developers will also have access to sensor models from a variety of manufacturers, including lidar makers Hesai, Innoviz Technologies, Luminar, MicroVision, Robosense, and Seyond, visual sensor suppliers OMNIVISION, onsemi, and Sony Semiconductor Solutions, and Continental, FORVIA HELLA, and Arbe for radar.
Voxel51 Raises $12.5M Series A to Bring Transparency and Clarity to Computer Vision Data
Voxel51, a data-centric machine learning software company, announced that it has raised a $12.5 million Series A funding round from Drive Capital, Top Harvest Capital, Shasta Ventures, and existing investors. The round follows the company’s $2.875M Seed round from eLab Ventures, ID Ventures, and the University of Michigan.
With more than 150,000 monthly active users, Voxel51’s open source technology empowers machine learning model builders to bring transparency and clarity to the datasets they use to build computer vision applications. The recent explosion of computer vision data—there are an estimated 45 billion cameras in the world today—creates a tremendous opportunity for machine learning products, but only if it can be properly organized, indexed, and labeled. Without infrastructure for building high-quality data pipelines, engineers are often forced to misallocate their talents wrangling data.