Training data for the AI you actually have to defend.

LabelFort is certified against ISO 27001:2022, aligned to SOC 2 Trust Services Criteria, and engineered to satisfy HIPAA, GDPR, and India’s Digital Personal Data Protection Act (DPDP). DPDP readiness is not an add-on - it inherits from the already-audited ISO baseline. A control-mapping document and our DPDP readiness report are available for Legal and Compliance review during intake.

Image (bounding boxes, circles, polygons and polylines, brush masks and SAM-assisted segmentation, keypoints and skeleton-based pose), video (shape and track modes with persistent object identities, keyframe interpolation and AI-assisted tracking), LiDAR and 3D point cloud (3D cuboids in synchronized multi-view), medical DICOM (structured findings, measurements and landmarks), text and structured data (classification, sentiment, intent and field extraction through configurable forms - CSV rows and PDF supported), audio (time-segment labeling with classes and attributes, verified transcription, speaker diarization), documents (VLM-assisted extraction via OCR/VQA pipelines), geospatial imagery, and RLHF/evaluation workflows. Platform-native exports: COCO (including RLE masks), YOLO, KITTI (2D and 3D), MOT17, labeled-image ZIP, Excel/CSV, and NDJSON audit logs; additional formats are delivered on request through the delivery pipeline.

Quality is measured with Inter-Annotator Agreement, scored using Cohen’s kappa - with IoU/F1 agreement for geometric tasks - against a threshold above 0.90, validated on your dataset during the PoC and tracked in delivery reporting. Every annotation action, review and configuration change is captured in an immutable audit trail and exports as a chain-of-custody record. Audit-log coverage is 100% by design.

LabelFort ships with dedicated role-based workspaces for Platform Admin, Admin, Operations Manager, Quality Manager, Annotator, Verifier, Auditor, and Client. Each role has its own routing, dashboards and navigation, and access checks are enforced on protected verifier and auditor surfaces.

Yes. LabelFort is tool-agnostic. Exports cover COCO (including RLE), YOLO, KITTI, MOT17, labeled-image ZIP, Excel/CSV and NDJSON audit logs - with additional formats on request - and delivery lands in S3, GCS or directly in your pipeline. File-dimension and tracking-attribute integrity are preserved end-to-end so annotations do not drift relative to the underlying media.

Compliance Review → evidence-grade PoC → governed pilot → procurement-ready scale. Pilot-to-production typically runs 30–45 days once the PoC evidence pack is signed off. We do not run open trials, we do not compete on price-per-label, and we do not enter engagements without a defined evidence output for Legal and Procurement review.

Yes. LabelFort supports structured RLHF preference collection, instruction tuning, evaluation rubrics, and red-team workflows - with the same IAA reporting, role-based QA and audit coverage as every other project type.

LabelFort is a product of Predusk Technology Pvt Ltd, an independent company with no hyperscaler or model-lab ownership stake. Your training data, audit logs and evidence packs do not route through, or back to, any competing foundation-model lab.

Book the one-hour Compliance Review. We’ll scope your risk surface, map controls to your regulatory posture, and propose a PoC with defined evidence outputs - before any data moves.