RAIC Vision Models

Build models in minutes and start the active learning loop with only a few labels.

Watch how RAIC Foundry enables data scientists, developers, analysts, and startup founders to quickly build and deploy AI vision solutions.

SDK & API Docs Examples On GitHub
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White Paper: RAIC Embeddings for Geospatial Imagery Categorization

Deep Trained CNN: 98.0% Accuracy

  • Multi-GPU training
  • A lot of data science
  • 51,839 labels/annotations
  • GPU Required for Inference

RAIC Embedding Space: 99.0% Accuracy

  • No model training (KNN model)
  • CPU-only workloads
  • Minimal labels per class
  • Sub-second CPU inference for entire dataset

Side-by-Side: RAIC Foundry vs. Traditional CV Platforms

We’ve redesigned vision AI from the ground up — eliminating the need for retraining, reducing compute costs, and giving teams the power to deploy usable models faster than ever.

Pricing

Starter
What You’ll Get
  • TBD
Free Pay per use - each additional 500 inference is $200
Developer
What You’ll Get
  • TBD
$99/month
Professional
What You’ll Get
  • TBD
$995/month
Enterprise
What You’ll Get
  • TBD
Contact Us
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