Features
Off-the-shelf egocentric video datasets (54k hrs, 84 environments, IMU/RGB depth/3D hand reconstruction)
Curated image datasets (2.4M frames, 38 verticals, 1080p+ resolution)
Video datasets with multi-object tracking, action segmentation, scene captions (70k clips, 18k hrs, 30 fps)
Multilingual audio datasets (80k hrs, 47 languages, 48 kHz, speaker diarization, emotion labels)
Bespoke data collection with quote in <1 hour and delivery in 36 hours
Global network of verified contributors in 150+ countries
SMB partner program: verified businesses capture data as paid contributors
Creative Studios network (100+ studios) for image editing and data augmentation
Live capture streaming from field nodes with status indicators
Privacy-first capture with partner SLAs and revenue share
Custom annotation and labeling services
Direct delivery to customer S3 bucket
High-fidelity synthetic data generation via TabularARGN
Agentic data science automation for training/sampling
Natural language AI Assistant executing Python code
Mock data generation for safe experimentation and testing
Simulated data for edge-case and what-if modeling
Multi-table synthesis with referential integrity
Time-series support and data rebalancing
Differential privacy with temperature control
Deployment on Kubernetes or Red Hat OpenShift
Open-source Synthetic Data SDK under Apache v2 license
Data connectors for Databricks, AWS, Snowflake, BigQuery
Real-time data access from production systems (e.g., Databricks)
Star schema and nested sequences support
REST API and Python Client for programmatic access
Conditional simulation and seeded generation
