Infinity AI raises $5M to build automated synthetic training data

Infinity AI, a startup that generates automated synthetic training data, announced a $5M seed round led by Matrix with participation from founders and operators from companies like Snorkel AI, Tesla, and Google. The funds will be used to bring the company’s novel generative tools, which complement Infinity’s existing self-serve API, to market.

Infinity AI democratizes access to training data. Their new funding round brings novel generative tools to market.

AI models are only as good as the data they are trained on, but traditional data collection and annotation processes – fueled by human labor – are notoriously expensive and slow. Enterprise data scientists spend over 80% of their time gathering, organizing, and labeling the training data they use. Bottlenecks in training data are a primary reason that computer vision projects get canceled.

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Synthetic data – or data that is generated via simulation rather than collected by a sensor – leapfrogs the data collection and annotation steps. Training on synthetic data has become an established best practice as major tech companies like Tesla, Amazon, and Microsoft all announced products by training on synthetic data. Gartner recently placed synthetic data at the top of its list of strategic predictions for 2022 and beyond, saying that “by 2024, 60% of the data used for the development of AI and analytics projects will be synthetically generated.”

Infinity’s platform allows engineers to upload a single real-world video and turn that into hundreds of similar and perfectly labeled synthetic videos. Infinity uses a combination of physics-based simulations and generative techniques to do this. For example, its self-serve API allows engineers to generate hundreds of videos that meet desired statistical distributions of camera location, lighting conditions, avatar appearances, and more.

SOURCE: PR Newswire

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