Delafield-based data company Synthetaicraised $3.2 million in a funding round that included an investment from Green Bay-based venture capital firm TitletownTech.
Data constraints have prevented certain applications of artificial intelligence due to the sheer amount of data that is often necessary to create valuable and reliable AI models - in some cases, datasets are private, incomplete, or sparse.
To solve this problem, Synthetaic combines high-fidelity 3D modeling and novel, generative AI, to grow large and high-quality datasets sufficient for machine learning. In fact, Synthetaic can produce high-quality training data even if there is no starter sample.
The company also supervises subsequent training and deployment of high-accuracy AI models, which outperform models generated using a traditional approach, according to a TitletownTech press release.
“Reducing the blind spots created by sensitive or less available data is critical to advancing robust AI models,” TitletownTech managing director Jill Enos said in a statement.
Corey Jaskolski, Synthetaic founder and chief executive officer, has a background in AI, sensors and computer-science. Jaskolski has led technical projects for clients including NASA, DARPA and many U.S. Army and Navy research laboratories.
Earlier this year, Jaskolski, a National Geographic Fellow since 2012, was named the 2020 Rolex National Geographic Explorer of the year, an award granted on the basis of “personifying leadership in exploration and storytelling.”
Jaskolski received the award after developing a custom camera array to capture a 3D-digital copy of the Sumatran Rhino, a critically endangered species. It was this work in particular that led Jaskoliski to found Synthetaic.
“Corey and the team at Synthetaic are bringing unique capabilities to predictive modeling, and we are excited to help them advance in the market,” Enos said in a statement.