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Encord

Encord provides an AI data management platform for scalable multimodal data curation, annotation, and model evaluation, enabling faster deployment of production-ready AI.

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Headquarters United Kingdom
Headcount 51-200 employees
Updated Apr 2026
Last verified Sep 2025
Overview Capabilities Related Contact

What Encord Does

Encord provides an AI data management platform for scalable multimodal data curation, annotation, and model evaluation, enabling faster deployment of production-ready AI.

Editorial overview

Encord is a leading AI data management company founded in 2020 by a team of former quants, physicists, and computer scientists who identified a critical gap in the infrastructure needed to scale AI development. Headquartered in London, Encord empowers AI builders with a unified platform for managing, curating, annotating, and evaluating large-scale multimodal datasets, including video, images, medical imaging (DICOM), radar (SAR), documents, and audio. The company’s mission is to solve AI alignment by providing robust tools and workflows that accelerate the transition from R&D to production AI. Encord’s platform is trusted by over 200 top AI teams globally, including those in robotics, healthcare, autonomous vehicles, and industrial automation. The platform features an AI-powered labeling engine with automation, real-time collaboration, and active learning integration, enabling teams to label data up to six times faster than traditional methods. Encord’s business model is SaaS-based, offering scalable solutions for both startups and enterprises, with a focus on quality assurance, compliance, and seamless integration into existing ML pipelines. The company is backed by prominent investors such as Y Combinator, Next47, and CRV, and is recognized for its innovation in safety-critical and regulated domains. Recent developments include its launch on the Google Cloud Marketplace and continuous enhancements to its automation and quality control features. Encord differentiates itself through its deep technical expertise, enterprise-grade security, and commitment to supporting the full AI data lifecycle, making it a preferred partner for organizations seeking to operationalize AI at scale.

Key differentiators
Purpose-built for high-volume, multimodal data in safety-critical domains
AI-powered labeling engine with automation and active learning
Integrated quality control and compliance features
Scalable from R&D to enterprise production
Market position

Enterprise Leader

Capabilities

Company overview

Compliance & security
SOC2 certified
GDPR claims
SSO VPC
AI modalities & capabilities
Training Data Mlops Synthetic Data Evals Red Teaming
CV core
NLP supported
TABULAR supported
Languages & industries
Languages
EN
Industries
Healthcare primary
Automotive primary
Ecommerce secondary
Gov secondary
API & integration
REST API Webhooks SDK Batch Processing
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