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Accelerate multimodal annotation with Unitlab AI

Multimodal Data Platform for Production AI

Data Curation
Data Annotation
Dataset Management
Curate, annotate, review, version, and manage image, video, audio, text, document, medical, pathology, and geospatial data in one governed workspace.
No credit card required
Unitlab AI multimodal data platform workspace
Our trusted clients

Why AI Teams Choose Unitlab

One platform to manage, annotate, and curate training data across every modality, helping teams move faster while staying efficient at scale.
15X
Faster Data Annotation
60%
Free Up AI Engineer’s Time
5X
Save AI Development Cost

Multimodal Data Annotation Platform

Annotate image, video, audio, text, documents, DICOM and volumetric medical data, whole-slide pathology, and geospatial imagery in one platform. Unitlab AI keeps multimodal training data consistent with shared ontologies, AI assistance, and governed quality control.

Integrated Workflows

Build custom workflows that connect models, annotation, review, and quality assurance in one continuous loop. Reduce manual handoffs and keep datasets moving from data intake through annotation and approval.

Video & Audio Sync

Align video frames and audio timelines in one view. Label speakers, events, and objects with temporal accuracy while reducing manual work across long-form recordings.

Text & Image Context Sync

Connect visual data with text and metadata in a shared context. Annotate images, documents, and extracted text together to preserve meaning across modalities.

AI-Powered Multimodality

Annotate image, video, audio, and text together to train models that understand richer, real-world data.

Bring your Model

Integrate your own AI models into the annotation workflow. Use model-assisted labeling to pre-annotate data, improve accuracy, and iterate faster on real-world datasets.
+99%
QA-backed accuracy
100%
Label lineage
+750K
Available datasets
+18
Industries served
Production-Ready Training Data for AI Teams
Unitlab AI helps AI teams label data faster without sacrificing quality. AI-assisted workflows speed up image, video, audio, and text annotation while keeping datasets production-ready.
Faster annotation across all data types
AI-assisted labeling with human oversight
Consistent accuracy at scale

Dataset Curation and Management

Curate, organize, search, and version multimodal datasets in one place. Inspect image, video, audio, text, document, medical, pathology, and geospatial data while preserving lineage across annotation and review workflows.

Dataset version control in Unitlab AI

Dataset Versions

Create and manage dataset versions as your data evolves. Track changes, assign tasks, and collaborate across teams while keeping every version auditable and production-ready.
Semantic search across datasets in Unitlab AI

Semantic Search

Search and explore large datasets using semantic understanding instead of manual filters. Quickly find relevant samples across image, video, audio, and text data.
Dataset embedding visualization in Unitlab AI

Embedding View

Understand your data at a deeper level by visualizing embeddings across datasets. Identify outliers, spot labeling issues, and improve data quality before training.
DICOM
Image
Video
Audio
Text
DICOM
Image
Video
Audio
Text
DICOM
Image
Video
Audio
Text
DICOM
Image
Video
Audio
Text
DICOM
Image
VIdeo
Audio
Text
DICOM
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Video
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Text

Frequently Asked Questions

What is Unitlab AI?

Unitlab AI is an enterprise multimodal data platform for production AI. Teams use one governed workspace to curate, annotate, review, version, and manage training data across image, video, audio, text, documents, medical imaging, pathology, and geospatial data.

What data modalities does Unitlab support?

Unitlab supports image, video, audio, text, PDF and document data, DICOM and volumetric medical imaging, whole-slide pathology, and geospatial imagery. Connected data can also be organized and reviewed through multimodal annotation workflows.

How do data curation, annotation, and dataset management work together in Unitlab?

Teams can discover and prepare data, route selected items into annotation and review, then version and manage approved datasets without moving between disconnected tools. Ontologies, properties, lineage, and access controls remain consistent across the workflow.

How does Unitlab accelerate annotation with AI and custom models?

Unitlab supports AI-assisted pre-labeling, segmentation, object tracking, and repetitive labeling. Teams can also bring their own models, combine multiple model stages with human review, and edit or validate every prediction before approval.

How does Unitlab manage annotation quality and review?

Unitlab supports configurable review and approval stages, role-based assignments, issue and rework flows, validation rules, and complete annotation history. This gives teams governed quality assurance from initial labeling through dataset release.

Can Unitlab handle large and complex production datasets?

Yes. Unitlab is built for large multimodal datasets and demanding formats, including long video and audio, volumetric DICOM studies, whole-slide pathology, large geospatial imagery, and multi-page documents. Dataset versions, queues, and workflows keep long-running projects organized.

Can Unitlab run in the cloud or on premises?

Yes. Unitlab supports hosted and on-premises deployment options. On-premises deployments keep data within your controlled infrastructure, while hosted deployments use encrypted, isolated storage and role-based access controls. Contact Unitlab to review the deployment model that fits your security requirements.

Does Unitlab provide APIs, SDKs, and integrations?

Yes. Teams can connect data, cloud storage, models, and workflows through the Unitlab API, Python SDK, and CLI. Unitlab also integrates with common cloud and machine learning infrastructure so existing pipelines can remain in place.

Can I start free, and how does Unitlab pricing work?

Yes. You can start with Unitlab AI for free without a credit card. Paid plans are available for larger teams and datasets, advanced collaboration, security, storage, deployment, and workflow requirements.

Need help choosing the right workflow or deployment? Talk to the Unitlab team

Trusted by AI Teams Worldwide

See how teams use Unitlab to annotate data, collaborate, and scale AI workflows.

Syaffa Amir, Research Engineer
Syaffa Amir
Research Engineer
Have you heard about Unitlab? It's a leader in AI-driven data annotation, featuring its innovative tool, Unitlab Annotate. This platform transforms computer vision projects by merging machine learning with human knowledge to precisely label data....
Ravikumar Balija, Data Scientist
Ravikumar Balija
Data Scientist
A glimpse of free tools available to label the datasets.
Junghyun Park, Machine Learning Research Engineer
Junghyun Park
Machine Learning Research Engineer
Wow, this is really fast!
Syaffa Amir, Research Engineer
Syaffa Amir
Research Engineer
Have you heard about Unitlab? It's a leader in AI-driven data annotation, featuring its innovative tool, Unitlab Annotate. This platform transforms computer vision projects by merging machine learning with human knowledge to precisely label data....
Ravikumar Balija, Data Scientist
Ravikumar Balija
Data Scientist
A glimpse of free tools available to label the datasets.
Junghyun Park, Machine Learning Research Engineer
Junghyun Park
Machine Learning Research Engineer
Wow, this is really fast!
Syaffa Amir, Research Engineer
Syaffa Amir
Research Engineer
Have you heard about Unitlab? It's a leader in AI-driven data annotation, featuring its innovative tool, Unitlab Annotate. This platform transforms computer vision projects by merging machine learning with human knowledge to precisely label data....
Ravikumar Balija, Data Scientist
Ravikumar Balija
Data Scientist
A glimpse of free tools available to label the datasets.
Junghyun Park, Machine Learning Research Engineer
Junghyun Park
Machine Learning Research Engineer
Wow, this is really fast!
Syaffa Amir, Research Engineer
Syaffa Amir
Research Engineer
Have you heard about Unitlab? It's a leader in AI-driven data annotation, featuring its innovative tool, Unitlab Annotate. This platform transforms computer vision projects by merging machine learning with human knowledge to precisely label data....
Junghyun Park, Machine Learning Research Engineer
Junghyun Park
Machine Learning Research Engineer
Wow, this is really fast!
Syaffa Amir, Research Engineer
Syaffa Amir
Research Engineer
Have you heard about Unitlab? It's a leader in AI-driven data annotation, featuring its innovative tool, Unitlab Annotate. This platform transforms computer vision projects by merging machine learning with human knowledge to precisely label data....
Ravikumar Balija, Data Scientist
Ravikumar Balija
Data Scientist
A glimpse of free tools available to label the datasets.
Syaffa Amir, Research Engineer
Syaffa Amir
Research Engineer
Have you heard about Unitlab? It's a leader in AI-driven data annotation, featuring its innovative tool, Unitlab Annotate. This platform transforms computer vision projects by merging machine learning with human knowledge to precisely label data....

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Integrate your data & workflows securely with Unitlab
Unitlab integrates with AWS, Google Cloud, Azure, PyTorch, TensorFlow, Keras, and Weights & Biases, giving you secure access to projects, datasets, and annotations via our API and SDK.
24/7 Expert Support
A+ SSL-rated encryption at rest and in transit.
99,9 Uptime
Unitlab AI SDK and API code integration

Build Better AI Datasets with Unitlab

Create high-quality training data across image, video, audio, text, and DICOM in one multimodal data annotation platform. Move faster from raw data to production-ready datasets with AI-assisted workflows and built-in quality control.