Welcome to Unitlab AI

Unitlab AI is an enterprise multimodal data platform for AI teams to curate, annotate, manage, version, and prepare training data at scale.

Data

Upload and connect data

Ingest local files or governed cloud sources into Data Space.

Organize assets

Manage source assets, folders, lifecycle state, and metadata.

Curate data

Build precise cohorts with filters, embeddings, tags, and Collections.

Version datasets

Publish reusable, immutable dataset membership for production work.

Build Data Groups

Preserve related views and modalities as one structured unit of work.

Explore embeddings

Investigate similarity, duplicates, distribution, and outliers visually.

Platform

Projects

Configure data, instructions, ontology, workflow, QA, and releases in one operating boundary.

Annotations

Create and review image, video, text, document, audio, medical, and multimodal labels.

Ontologies

Define classes, properties, relations, validation, versions, and conditional logic.

Workflows and queues

Route human and model work through accountable stages, assignments, and exception paths.

Workspaces and access

Manage workspace boundaries, members, roles, security settings, API keys, and connected storage.

Versioned releases

Package approved annotations into reproducible outputs for downstream delivery.

Modalities

Multimodal Annotation

Keep related image, video, audio, text, document, and medical evidence in one governed work unit.

Image Annotation

Create boxes, polygons, masks, cuboids, landmarks, properties, and relations on still images.

Video Annotation

Build frame-accurate tracks, temporal events, timelines, and dynamic properties.

Medical Annotation

Annotate DICOM and medical imaging across synchronized multiplanar and sequence views.

Pathology Annotation

Label whole-slide images, tissue regions, cells, nuclei, biomarkers, and slide properties.

Geospatial Annotation

Annotate satellite, aerial, and large-raster imagery with spatially grounded geometry.

Text Annotation

Create entities, nested spans, classifications, structured properties, and relations.

Document Annotation

Label native PDF text, images, tables, regions, pages, and document-level values.

Audio Annotation

Label temporal events, speakers, transcripts, properties, waveform, and spectrogram context.

SDK/CLI

Developer overview

Choose the right automation surface and understand Unitlab resource boundaries.

Python SDK

Automate Unitlab with UnitlabClient and typed resource namespaces.

CLI

Run repeatable terminal workflows with human-readable or JSON output.

HTTP APIs

Integrate authenticated endpoints for projects, data, datasets, annotations, workflows, and more.

Install SDK and CLI

Install supported tooling and confirm the local Unitlab environment.

Authentication

Configure API credentials, environments, and secure automation access.

Solutions

Manufacturing and mining

Build governed visual inspection, safety, equipment, and defect programs.

Medical AI

Coordinate medical imaging, reports, ontologies, and specialist review.

Multimodal operations

Preserve multi-camera and multi-angle evidence as one unit of work.

Human–AI annotation

Combine model proposals, human judgment, review, and feedback with traceable accountability.

Agriculture

Build consistent crop, livestock, field, and multi-angle data programs.

Autonomous systems

Curate synchronized driving, robotics, temporal scenes, and rare events.

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Related Unitlab capability guides: multimodal data annotation · enterprise data annotation workflows · multimodal data curation