
We've rebranded, Synthetaic is now RAIC Labs! Quickly derive insights from large, unlabeled geospatial, video, and image datasets without time-intensive human labeling or pre-built models. Rapid Automatic Image Categorization (RAIC) is an unbiased tool that meets users’ ever-changing analytic demands for their perpetually evolving datasets, in an unrivaled timeline. RAIC enables users to find and classify anything in minutes, not months, without labeled data. Simply provide a single example object image and RAIC will find similar objects in your unlabeled dataset and return contextually-related results. You can then improve the AI by identifying the best results through an intuitive human nudge tool. From there, you can run inference jobs and turn results into insights using dashboarding tools or existing analytics platforms. Synthetaic combines unsupervised and generative AI with our end-to-end pipeline to rapidly train and deploy AI models that outperform the speed and accuracy of traditional approaches. Our solutions have been applied to critical use cases across industries, including healthcare, geospatial AI, security, and conservation.

We've rebranded, Synthetaic is now RAIC Labs! Quickly derive insights from large, unlabeled geospatial, video, and image datasets without time-intensive human labeling or pre-built models. Rapid Automatic Image Categorization (RAIC) is an unbiased tool that meets users’ ever-changing analytic demands for their perpetually evolving datasets, in an unrivaled timeline. RAIC enables users to find and classify anything in minutes, not months, without labeled data. Simply provide a single example object image and RAIC will find similar objects in your unlabeled dataset and return contextually-related results. You can then improve the AI by identifying the best results through an intuitive human nudge tool. From there, you can run inference jobs and turn results into insights using dashboarding tools or existing analytics platforms. Synthetaic combines unsupervised and generative AI with our end-to-end pipeline to rapidly train and deploy AI models that outperform the speed and accuracy of traditional approaches. Our solutions have been applied to critical use cases across industries, including healthcare, geospatial AI, security, and conservation.
Founded: 2019
Core product: RAIC — Rapid Automatic Image Categorization for search/monitoring of unlabeled image, video, and geospatial data
Funding: $32.5M total; $15M Series B announced Feb 6, 2024
Partnership: Five-year strategic partnership with Microsoft to run RAIC on Azure (large-scale cloud compute)
Founder: Corey Jaskolski (founder; CEO/President)
Computer vision for large-scale visual data (image, video, geospatial) focused on search, detection, and monitoring without labeled training datasets.
2019
Artificial intelligence / Computer vision
$3.5M
Seed round participation reported from Betaworks Ventures and TitletownTech; company reported $4.5M total raised at that time.
$15M
Series B reported to include participation from IBM Ventures and Booz Allen Hamilton; raised amount contributed to reported $32.5M total.
“Investors and backers include Lupa Systems, TitletownTech, IBM (IBM Ventures), Booz Allen Hamilton, Betaworks Ventures, and Esri.”