Synthetaic's RAIC uses synthetic data, or data whose labels are auto-generated, to train models. This approach was demonstrated when the company was able to trace a high-altitude balloon from China using a sketch of what the balloon might look like from space and recent satellite images. The company has worked with the U.S. Air Force, The Nature Conservancy, and CNN, among others. Despite concerns about the potential drawbacks and dangers of synthetic data, Synthetaic's CEO Corey Jaskolski believes that RAIC has applications in various domains, including AI prototyping, drone-based monitoring, and content moderation.
Key takeaways:
- Synthetaic, an AI firm, has raised $15 million in a Series B round co-led by Lupa Systems and TitletownTech, bringing its total raised to $32.5 million.
- The funding will be used to accelerate the commercialization of Synthetaic's computer vision tech and to nearly double its headcount to 80 staffers by the end of the year.
- Synthetaic offers a tool called Rapid Automatic Image Categorization (RAIC) that automates the analysis of large data sets, such as satellite imagery and video, without the need for human-labeled data.
- Despite concerns about the potential drawbacks and dangers of synthetic data, Synthetaic has worked with the U.S. Air Force, The Nature Conservancy, CNN, and Planet Labs, among others.