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Share Your Data
Upload raw images, video, text, audio, or LiDAR securely — we ingest from cloud storage, SFTP, or your existing ML pipeline.
Enterprise secure annotation workspace — encrypted pipelines, access controls, and GDPR-ready delivery for global ML teams.
Enterprise ML teams cannot compromise on data security when outsourcing labeling. Our secure annotation platform combines human expert labeling with encrypted ingest, role-based access, audit logging, and compliant delivery — so your training data stays protected from upload to model deployment.
Encryption in transit and at rest, isolated project workspaces, and least-privilege access for annotators, reviewers, and project managers. Your security team gets visibility; your ML team gets speed.
Multi-modality projects in one workspace; versioned annotation guidelines; real-time QA dashboards; consensus and IAA metrics; export scheduling to cloud storage or training pipelines.
GDPR-ready processing for EU customers, contractual DPAs, and configurable data retention. Workflows adapt to healthcare, finance, and government-adjacent sensitivity requirements.
The platform powers 250+ trained annotators and dedicated QA — not a self-serve-only tool. You get software plus managed delivery, SLAs, and project managers who understand production ML timelines.
Annotate on our secure cloud workspace, inside your VPC boundary where supported, or hybrid — with the same QA standards and export formats across modalities.
See how secure annotation accelerates your roadmap without expanding security risk. Book a demo to walk through workspace security, integrations, and sample QA workflows.
A proven calibration-to-production workflow for enterprise annotation programs.
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Upload raw images, video, text, audio, or LiDAR securely — we ingest from cloud storage, SFTP, or your existing ML pipeline.
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We define labeling guidelines, class taxonomy, edge cases, and accuracy targets with your ML and product stakeholders.
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Trained annotators label bounding boxes, masks, tracks, transcripts, or 3D cuboids in your toolchain or our workspace.
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Multi-pass review, consensus scoring, and automated checks before any dataset reaches your training jobs.
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Receive COCO, JSON, Pascal VOC, or custom exports — plus ongoing support as your models and taxonomies evolve.
Answers about scope, quality, tooling, and delivery.
Both. Annotate in your toolchain or our enterprise workspace with encrypted ingest and export.
We support GDPR-ready workflows, access logging, and EU enterprise data handling requirements.
S3, GCS, Azure Blob, SFTP, and API-based ingest with annotated export to your MLOps pipeline.
Talk to our enterprise team about volume, timeline, QA targets, and pricing.