Leverage AI powered zero-shot labeling and customizable workflows to accelerate labeling projects and build production-ready models, faster.
RAIC
Data doesn’t have to be a bottleneck
Raw data is notoriously difficult to explore, search, and understand. However, with RAIC, AI teams can accomplish these tasks quickly and easily at scale.
RAIC's zero-shot labeling and customizable workflows allows users to accelerate labeling projects and build production-ready models, faster.
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.
DATA AGNOSTIC
Any data, any size, any use case
Whether you're looking for a needle in a haystack or building AI models on the fly, RAIC is a force multiplier that fundamentally changes what's possible when it comes to getting answers from massive, unlabeled visual datasets.
RAIC drives fast and flexible labeling/annotation at scale, including images, full motion video, and geospatial imagery.
HUMAN AI COLLABORATION
Make better data decisions
Great AI needs human feedback. RAIC simplifies embedding human input into the AI development process, helping users build top-notch applications without delays, also known as human-in-the-loop.
With RAIC, AI is doing what AI does best, in collaboration with humans doing what humans do best.
How it works
1. Upload raw data to make it instantly searchable
When you upload, your raw, unlabeled data into RAIC, our powerful AI projects it into a searchable vector space. Your data is now fully searchable and ready to be rapidly labeled, all you need is a single seed image so RAIC knows what to look for.
2. Review results in heat map and refine search
After prompting RAIC with a single seed image, search results are presented in a context map for intuitive human-machine collaboration. Your expertise and RAIC’s algorithmic understanding of your data inform each other, improving your data classes in real time.
3. Create Categories, Exclusion Classes, and more
Once your data is in RAIC, you can search over and over for different objects. Search results, models, and categories can all be taken from RAIC into your existing workflows (export or API), making model development, testing, and maintenance faster and scalable.
"Without [RAIC], the data artifacts would have been an intractable problem."
let's Get Started
Ready to build AI better and faster? Let's start unlocking your visual data!
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