Encord

What Encord does

Encord is an AI-native data infrastructure platform that helps enterprise and Physical AI teams curate, manage, annotate, and evaluate the multimodal data needed to train and run AI systems. The platform natively supports video, image, audio, text, LiDAR, 3D point clouds, geospatial, and medical imaging (DICOM, NIfTI) modalities in a unified workflow, addressing use cases including autonomous vehicles, robotics, drones, healthcare imaging, industrial automation, and generative AI. Core product modules include Encord Annotate (multimodal annotation with AI-assisted labeling and label lineage), Encord Index (embedding-based data curation and automated quality assessment), Post-Training Alignment (RLHF, rubric-based evaluation, pairwise comparison), and Data Agents (workflow automation). The platform is complemented by Merlin, an agentic intelligence layer accessible via the Model Context Protocol in Claude, Codex, and other agentic coding platforms, and by open-source data products including the E-MM1 multimodal dataset (1 billion data pairs, 100 million data groups) and the EBIND multimodal embedding model. The proprietary EBind training methodology is claimed to deliver 17x training efficiency on a single GPU.

Encord operates a SaaS subscription business model with enterprise field sales motion, quote-based annual pricing, and no publicly disclosed pricing tiers. Go-to-market is direct enterprise sales targeting large AI teams, with the website featuring 'Book a demo' CTAs and SDK-first programmatic access via Python and MCP. The company sells to over 300 AI teams globally including Woven by Toyota, Zipline, AXA, Skydio, UiPath, Synthesia, Philips, Cedars-Sinai, Northwell Health, Agility Robotics, Forterra, and others across automotive, healthcare, insurance, robotics, and industrial sectors. Professional services include Annotation Services (vetted domain experts), Collection Services (in-field and teleoperation data collection), and Physical AI Data Services (end-to-end data infrastructure). The company holds SOC 2 Type II, HIPAA, and GDPR certifications, operates from San Francisco and London under Cord Technologies, and is privately held after raising $110M total across seed, Series A, Series B, and Series C rounds through February 2026.

Name

Encord

Legal name

Cord Technologies, Inc.

Website

https://encord.com

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

101–250 employees

Short description

Encord is an AI-native data infrastructure platform that helps enterprise and Physical AI teams curate, annotate, and manage multimodal training data across video, image, audio, LiDAR, 3D, and text for autonomous vehicles, robotics, healthcare, and generative AI applications.

Ownership category

akta.pro rank

Product category

AI Data Infrastructure

NAICS

Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)

SIC

Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374), Services-Computer Programming Services (7371)

akta.pro primary industry

Data Labeling & Annotation Services (HDAAALAB)

akta.pro secondary industries

Healthcare Data Integration, ETL/ELT & Pipeline Orchestration (HLACAIAC), Data Engineering, Integration & ETL/ELT Services (BPAEAHAB)

Keywords

• AI data infrastructure
• Multimodal data annotation
• Video labeling platform
• Physical AI training data
• Data curation software

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

1. SaaS Platform Subscription: Encord operates as an AI data infrastructure SaaS platform providing subscription-based access to its annotation, curation, and evaluation tools. The platform consolidates data management, curation, annotation, and model evaluation workflows into a unified solution.

Pricing tiers

Go-to-market motion1 record

Distribution channels3 records

Marketing channels7 records

Core offering

Encord provides an AI-native multimodal data infrastructure platform that enables enterprise and physical AI teams to collect, curate, annotate, and evaluate training data across video, image, audio, LiDAR, text, and 3D point cloud modalities. The platform unifies data management, labeling, curation, model alignment, and post-training evaluation, complemented by managed annotation and data collection services.

Product overview

Encord is an AI-native data infrastructure platform offering a unified platform-plus-modules architecture for managing the complete AI data lifecycle. The core platform consists of Encord Annotate (for annotation and labeling), Encord Index (for data curation and quality assessment), Post-Training Alignment (for RLHF and model evaluation), and Data Agents (for workflow automation). These are complemented by Merlin, the agentic intelligence layer enabling conversational data management via MCP. The platform supports five modalities: video, image, audio, text, and 3D point clouds. Data products include the E-MM1 multimodal dataset and EBIND embedding model. Professional services include Annotation Services, Collection Services, and Physical AI Data Services. The platform serves over 300 AI teams globally including Woven by Toyota, Zipline, UiPath, Synthesia, and major robotics companies.

Differentiator

Problem solved

Functional benefit

Brands

• Merlin: Agentic intelligence layer for Encord that works across the full data lifecycle, launched June 2026 via MCP integration.
• E-MM1 Dataset
• EBIND

Quantifiable outcome

• UiPath achieved near 99% model accuracy with Encord, with 10x dataset growth and 4x reduction in error rate
• +6 more outcomes

Named customers15 records

Segments6 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability10 records

Feature7 records

Partnerships

Four partnerships are on record, tiered core.

• NVIDIAcoreTechnology or IntegrationNVIDIA Cosmos Reason 2 and Cosmos Embed models are integrated directly into the Encord platform. Cosmos Reason automates pre-labels on physical AI video; Cosmos Embed enables behavior search by natural language queries. Encord runs these models natively on its own infrastructure.
• Weights & BiasescoreStrategic or Co-development PartnerCo-hosted 'Brains, Bodies & Benchmarks: Physical AI Panel' bringing together experts from Agility Robotics, Dyna Robotics, 1X, Physical Intelligence, and NVIDIA to discuss cutting edge of Physical AI.
• AnyscalecoreStrategic or Co-development PartnerCo-hosted Physical AI panel discussion alongside Weights & Biases, bringing together robotics industry leaders for knowledge sharing and community building.
• MCP (Model Context Protocol) EcosystemcoreTechnology or IntegrationMerlin agentic intelligence layer is natively embedded in MCP-compatible platforms including Claude (Anthropic), Codex (OpenAI), and other agentic coding platforms. Enables conversational AI data management across the ecosystem.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Scale AI: Scale AI is the largest data annotation and labeling platform, serving many of the same autonomous vehicle, robotics, and enterprise AI customers as Encord. Both target multimodal AI data infrastructure with managed services, though Scale operates at significantly larger scale and capital base.
• Labelbox: Labelbox provides a data-centric AI platform for annotation, curation, and model evaluation across image, video, text, and geospatial data. It is a direct competitor in enterprise AI data infrastructure, serving similar ML teams with comparable annotation and quality assessment capabilities.
• Snorkel AI: Snorkel AI focuses on programmatic data labeling and weak supervision for enterprise AI, with a particular emphasis on healthcare and regulated industries. It competes with Encord in the data-centric AI tooling market and shares similar enterprise customer profiles.
• Roboflow: Roboflow provides computer vision annotation and model training infrastructure with strong adoption among developers and startups. While its product breadth is narrower than Encord's (focused on vision rather than full multimodal), it competes for the same vision-AI customer base with a more product-led growth motion.
• V7 Labs: V7 Labs offers an AI data engine for image and video annotation, with a focus on document and complex visual data. It overlaps with Encord Annotate in serving computer vision and document AI teams in regulated industries.
• SuperAnnotate: SuperAnnotate provides AI annotation tooling and managed services for image, video, text, and sensor fusion, with strong positioning in autonomous systems. It is a direct competitor in the multimodal annotation space targeting autonomous vehicles and robotics customers.
• Dataloop: Dataloop offers a data-centric AI platform for annotation, orchestration, and human-in-the-loop workflows across image, video, and sensor data. It targets similar enterprise AI teams with comparable multimodal annotation capabilities and marketplace services.

Emerging players

• Kognic: Kognic specializes in annotation and dataset curation for autonomous driving perception, with strong European OEM and Tier-1 supplier relationships. It overlaps with Encord's autonomous vehicle segment but has a narrower scope focused on automotive sensor fusion.
• Voxel51: Voxel51, the company behind the open-source FiftyOne dataset and model visualization tool, provides tooling for computer vision dataset curation and quality assessment. It overlaps with Encord Index in serving ML engineers who need to understand and curate visual datasets at scale.
• Datasaur: Datasaur provides an NLP-focused data labeling platform with LLM-assisted annotation workflows. While narrower in modality (text-focused) than Encord, it serves similar enterprise AI teams building production language models and competes in the broader data labeling tooling market.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/encord_team
• GitHubgithub.com/encord-team
• LinkedInlinkedin.com/company/encord-team

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds5 records

Investors12 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments1 record

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Encord