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SERIES B OPPORTUNITY 

Visual data unlocked

 
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COMPANY OVERVIEW

RAIC Labs was founded to unlock impossible AI 

RAIC Labs, formerly Synthetaic, was founded in 2019 by Corey Jaskolski after his work to help save the endangered Sumatran rhino inspired him to reimagine the limits of AI and data. Today, the platform has evolved to a fully end-to-end platform covering everything from data labeling, training, fine tuning existing models, to finding a needle in a haystack. 

Famously known for tracing the Chinese Spy Balloon back to its origin in 2023 using geospatial imagery; more about that and the additional balloons we found can be found here

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The TEAM MAKING IT HAPPEN 

Leadership with deep expertise in their domain

RAIC Labs has built an exceptional team harnessing well rounded business experience across industries, ranging from successfully exited startups to international enterprises. With deep roots in the midwest, 70% of the team is local and in office in Wisconsin. 

In addition to being CEO and Founder of RAIC Labs, Corey Jaskolski 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. 

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OUR SOLUTION

Any data, any size, any use case 

RAIC is a force multiplier that fundamentally changes what's possible when it comes to getting answers from massive, unlabeled visual datasets. RAIC's human-ai collaboration drives fast and flexible search, labeling/annotation at scale, including images, full motion video, and geospatial imagery. 

With RAIC, AI is doing what AI does best, in collaboration with humans doing what humans do best.. 

  • Speed: 21x faster than human labeling. Start finding results and building classes within minutes of ingest.
  • Scale: Search petabytes of data for your objects of interest, no matter how rare or abundant.
  • Flexibility: Rapidly refine your search to find and iterate in real time on the cloud, edge, or on premise.

"Without [RAIC], the data artifacts would have been an intractable problem."

Erin Mentuch Cooper

Astrophysicist / Data Scientist, HETDEX
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