Documentation
Everything you need to run compliant annotation operations
DataFoundry combines project management with a Quality Management System purpose-built for regulated AI teams. These guides cover every part of the platform — from connecting your first annotation tool to exporting evidence for auditors.
Getting Started
Set up your first project, invite your team, and connect your first dataset. Covers org creation, roles, and the initial workflow configuration.
Annotation Workflow
How work items move through PRE_ANNOTATION → ANNOTATION → REVIEW → APPROVED. Covers configurable review stages, per-stage sampling rates, and rejection loops.
Compliance & QMS
Evidence checklists for EU AI Act, FDA, ISO 13485, and NIST AI RMF. CAPA tracking, Inter-Annotator Agreement sessions, and auditor CSV exports.
Vendor Management
Vendor registry with SLA tracking, scorecards, per-annotator rejection rates and throughput, and capacity utilization planning.
Integrations
Webhook setup for RedBrick, Encord, Labelbox, and V7. Configurable JSONPath field mappings and stage mapping — no code changes required.
Dataset Management
Dataset versioning with SHA-256 checksums and changelogs. Track data provenance and maintain a complete lineage history for auditors.
Guideline Versioning
Approval workflow from DRAFT → UNDER_REVIEW → APPROVED → SUPERSEDED. Full changelog and role-based approval controls for MANAGER and above.
Access & Security
Role-based access control: OWNER, ADMIN, MANAGER, and VIEWER. Multi-tenant data isolation, Google OAuth, email magic links, and full audit logging.
Supported Compliance Frameworks
DataFoundry provides evidence checklists, audit trails, and exportable documentation to help you demonstrate compliance. It does not perform the compliance assessment itself — it gives you the tools to do so.
EU AI Act
Data governance, transparency, human oversight, and accuracy documentation for high-risk AI systems.
FDA
Software validation, design controls, risk management, and data integrity for medical device AI.
ISO 13485
Quality management systems documentation for medical devices and regulated manufacturing.
NIST AI RMF
AI risk management, governance, mapping, and measurement across the AI lifecycle.
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