DELAFIELD, Wis. (Synthetaic PR) — Synthetaic, the end-to-end AI company, announced today that it had closed a $13M Series A financing round led by Lupa Systems, and with participation from TitleTown Tech, Betaworks, Booz Allen Hamilton, and Esri. The money will be used to scale Synthetaic’s groundbreaking RAIC platform and continue establishing strategic partnerships to analyze some of the world’s most important data sets. Lupa Systems’ Ben FitzGerald has also joined Synthetaic’s Board of Directors.

Synthetaic provides organizations with an end-to-end pipeline for AI-enabled solutions without the traditional dependency on human labeled data, thereby allowing for AI insights in minutes instead of after months of human annotation. Synthetaic’s flagship technology, RAIC (Rapid Automatic Image Categorization) enables rapid object labeling, AI modeling, and solution deployment by analyzing large, multidimensional imagery datasets, and allows both experts and non-experts to build and run detection AI models in minutes.

Synthetaic provides the US Air Force with faster ways to monitor change, extract key insights, and enable automation through AI models with minimal human labeling.

DELAFIELD, Wisc., May 20, 2021 (Synthetaic PR) – Synthetaic, the leading synthetic data company, today announced it has won a contract with AFWERX, a program of the USAF focused on expanding technology, talent, and transition partnerships for rapid and affordable commercial and military capability. Synthetaic’s Rapid Automatic Image Categorization technology (RAIC) will enable rapid object labeling, AI modeling, and Earth Observation object detection by analyzing large, multidimensional imagery datasets. 

In order to achieve optimal operational value, customers require ways to rapidly find and identify objects, and extract key insights from imagery data with minimal human machine interaction. Synthetaic empowers ad hoc labeling and searching through a new approach of massive data scale processing and AI model building. The technology also allows non-expert labelers to annotate objects of interest, and build and run detection AI models in minutes instead of days or weeks.