company overview
RAIC Labs combines unsupervised data and generative AI with their end-to-end pipeline to rapidly train and deploy AI models that outperform the speed and accuracy of traditional approaches. Synthetaic’s solutions have been applied to critical use cases across industries, including healthcare, geospatial AI, security, and conservation. The company specializes in developing high-performing AI solutions through its flagship technology, RAIC (Rapid Automatic Image Categorization), which eliminates the need for time-intensive human labeling or expensive labeled data troves.
leadership
Corey Jaskolski
Founder, President & CEO
Corey Jaskolski serves as founder and CEO of RAIC Labs. He is a National Geographic Fellow, explorer, engineer, and MIT graduate who has devoted his career to designing, building, and deploying technologies that accelerate exploration, conservation, and security efforts across the globe. Jaskolski’s work has taken him to all seven continents on projects that include scuba diving among the icebergs in Antarctica, descending 12,500 feet below the ocean’s surface in a three-person submarine to explore the Titanic, leading a helicopter-based effort to produce a high-resolution aerial LIDAR map of the Nepalese side of Everest, and venturing deep inside flooded caves while digitizing Maya human sacrifice victims and Ice Age bear skeletons. Recently Jaskolski developed a custom camera array to capture a 3D digital copy of one of the world’s last Sumatran rhinos.
In October 2020, Corey was honored with the prestigious Rolex National Geographic Explorer of the Year Award for his innovations in the fields of conservation, science, and technology.
Brian Goodwin
Chief Technology Officer
Before joining RAIC Labs, Brian was the Principal Data Scientist at a cloud implementation firm with an AI focus. Brian was responsible for architecting and deploying enterprise big data cloud-based AI solutions across many industries. Since he did all of this in the Azure cloud framework, Brian works in close collaboration with Microsoft senior technical staff. Prior to his industry work, Brian earned his PhD with a focus in computational neuroscience from Marquette University (MU) with specialization in medical imaging, signal processing, machine-learning (AI), and high-performance computing. During his postdoctoral studies at Medical College of Wisconsin (MCW), he used computational and AI methods to characterize injury mechanisms in the event of roadside bombings (IEDs) in combat zones. Using many disparate sensing modalities along with machine-learning models, he worked to characterize the dynamic response of the spine in a seated soldier when exposed to impacts that resemble those from underbody blasts in armored vehicles. This characterization was instrumental in the design of an anthropomorphic test device (ATD, or crash-test-dummy) for use in armored vehicle design. He has built many complex predictive models, some of which have been published, or even become MSFT case studies.
investment date
April 2024
Industry
Synthetic Data, Artificial Intelligence
headquarters
Delafield, Wisconsin