Scale AI development with AI-assisted labeling

With AI-assisted labeling and an intuitive QA workflow AI Accelerator enables users to process millions of images, thousands hrs of videos, and thousands of km of geospatial imagery in just a few days.

Deliver higher quality models, faster

AI Accelerator enables users to jumpstart their AI development by enabling immediate detection and categorization of key objects immediately. No data prep or preexisting models needed, just upload and find anything in raw imagery.

50%

More usable data

2000+

Labels in 5 minutes

400%

Increase in detections

Human-in-the-loop review made easy with clustered detections

Human-in-the-loop workflows enhance AI-driven data labeling by combining automation with human expertise to ensure accuracy and quality. Results are visualized in a clustered context map, grouping similar samples to simplify categorization and class-building for training.

This collaborative approach leverages the user’s subject matter expertise, enabling real-time iteration and refinement of the AI for faster, more effective model development.

Analyze your imagery in 4 simple steps

Step 1: Ingest

Upload your unstructured image, geospatial or video data directly to the RAIC cloud

Step 2: Search

Immediately search your data for any object of interest with as little as a single image

Step 3: Categorize

Select the results that suit your needs to create labels and refine the AI results

Step 4: Export

Export quality training data sets or integrate into your existing AI pipeline (CVAT, Label Studio, etc.)

Leading AI teams trust us with their data pipelines


Save time, cut costs, add value.

Are you ready to fast track your path to AI? Contact us to see how AI-assisted labeling can transform your ML pipeline.
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