Encord has successfully completed their SOC2 Type 1 examination, ensuring high security and operational standards for their computer vision infrastructure.
Independent auditors confirmed Encord's commitment to industry standards, with secure architecture, continuous security monitoring, and rigorous employee onboarding.
SOC 2 compliance illustrates Encord's dedication to security, positioning them as a trusted partner in annotation and quality control for machine learning applications.
The certification serves as a stepping stone towards SOC 2 Type 2 compliance, highlighting the ongoing effort to maintain and enhance security measures.

Encord provides a data platform focusing on computer vision, enabling AI teams to create high-quality training datasets efficiently with AI-assisted annotation tools. The platform includes functionalities for monitoring and validating model performance, annotation workflows, advanced labeling ontologies, model-assisted labeling, quality assurance, and format support. It streamlines building, labeling, and reinforcement learning human feedback (RLHF) workflows, manages visual data, and fixes data issues. Encord's software integrates with cloud storage and MLOps tools, offering APIs/SDKs for workflow automation. It's designed for developing AI models efficiently, targeting problems like labeling errors to improve data quality and model success.

Encord

Encord streamlines computer vision AI development with data and annotation tools.

Encord Achieves SOC 2 Compliance

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