Unitlab AI

Product description

Unitlab AI is an enterprise multimodal data platform for AI teams that need to turn raw data into consistent, production-ready datasets. It brings data ingestion, curation, annotation, ontology design, workflow orchestration, quality assurance, dataset versioning, and controlled releases into one connected workspace. Teams can work with images, video, audio, text, PDF documents, medical data, and grouped multimodal cases. They can organize assets and folders, connect governed cloud storage, search and explore data with embeddings, detect duplicates and outliers, assemble datasets, and preserve immutable version history. Projects use reusable nested ontologies and configurable workflows for annotation, review, rework, escalation, consensus, and model-assisted stages. The workbench supports modality-specific tools, structured properties and relations, validation rules, video tracks and interpolation, AI-assisted labeling, and batch auto-annotation. Automated results remain reviewable within human-in-the-loop quality processes. Workspaces, role-based permissions, two-factor authentication, API keys, service identities, cloud-credential governance, and controlled releases support enterprise operations. A Python SDK, command-line interface, and authenticated HTTP API connect Unitlab to production data and ML pipelines. The platform is suited to computer vision, autonomous systems, robotics, transportation, medical AI, document intelligence, speech and audio, and other multimodal programs. It is available for SaaS subscriptions, pilots, enterprise implementation, managed services, API integration, and on-premise deployment.

Impact in Numbers