Object Agnostic: Instantly search and label any object in your data, without relying on pre-trained models
Streamlined Workflow: Human in the Loop approach to exploring and categorizing data offers significant time savings tools to rapidly extract what you are looking for
Proprietary Embedding Space: Process unstructured datasets of any size, from megabytes to petabytes in record time
Seamless Integration: Import data from multiple sources using APIs or command line tools and transfer labels from RAIC into existing systems for model generation or label refinement (e.g., segmentation).
Integrates with common annotation tools and ML workflows
High-quality training data at scale for any object with cold start labeling and streamlined annotation effort.
RAIC revolutionizes visual data analysis with a cost-effective, scalable approach. Our AI seamlessly integrates into enterprise workflows, processing image, geospatial, and video data of any size at unmatched speed. Using general single-class models for detection and a dynamic embedding layer for classification, RAIC eliminates the need for pre-trained models.
Experience AI that’s faster, smarter, and built for scale.
Automate variation discovery. Easily choose what to include.
Agile and flexible approach. Labeling with faster feedback.
Less time. Less money.
Less tedium. Fewer mistakes.