Seamless Dataset Management for AI at Scale
Train, deploy, and monitor vision models on the most powerful GPUs without managing infrastructure or wasting spend.
Upload from URL or Local Storage
Import datasets quickly using direct file uploads or cloud paths from AWS, GCP, or OCI. Drag & drop files or paste a cloud path URL. Share datasets securely across teams. Instantly compatible with industry-standard formats. Supports large-scale dataset ingestion. Optimized for high-speed upload and preview.
Track Every Dataset Version
Keep precise records of dataset states to ensure replicability, auditability, and consistent model training. Full version history with changelogs. Restore previous versions easily. Enables reproducibility in experiments. Essential for regulatory and healthcare audits. Syncs with model checkpoints and training runs.
Smart Data Cleaning
Remove noise, spot bad samples, and elevate data quality with visual tools. Visual inspection of samples and anomalies. Flag and remove mislabeled or low-quality data. Integrated with ML-assisted review tools. Improve labeling precision before training. Boost downstream performance with cleaner data.
Data Splitting & Creation
Split, sample, and generate new datasets effortlessly to suit specific training needs. Random, stratified, or manual splits. Create new datasets by class or category. Optimize splits for balanced model training. Useful for quick prototyping or testing. Track splits as part of data version history.
Transforming Pixels
into Intelligence
Real time intelligence for existing cameras; One platform. Many Applications. Any Scale