12 Best Data Labeling Companies [2025]

When developing AI models, data labeling is essential, regardless of use case. Whether it is to train an autonomous vehicle with point cloud data or a generative video platform with audio data, annotation of this data is a crucial part of the model development lifecycle.

Therefore, several data labeling companies have emerged  offering annotation platforms and services, but choosing the right provider is challenging. While many platforms offer advanced annotation features, only a few meet the scalability and security requirements essential for enterprise-level applications.

This article discusses the ten best video and image annotation companies in 2025 to help you with your search.

Why Data Labeling Companies Matter

Data labeling is what ensures raw data can be used for AI model training. This direclty impacts the performance of your model, meaning the more precise your labeling is, the more accurate your models will be. But not all labeling companies are equal—some prioritise speed, others for compliance, and some for model integration.

Data labeling companies help you:

• Support multimodal data: image, video, text, audio, medical formats (DICOM/NIfTI)
• Integrate QA and humans-in-the-loop (HITL)
• Leverage AI-assisted labeling and active learning
• Scale securely across teams and geographies

Top AI Data Annotation Platforms Compared

Top 12 Data Annotation and Data Labeling Companies

Data annotation companies offering labeling solutions must meet stringent security and scalability requirements to match the high standards of the modern artificial intelligence (AI) space.

Below we've ranked twelve data annotation companies based on the following factors: 

• Data security protocols
• Scalability
• Collaboration
• Ease of use
• Supported data types
• Automation
• Other functionalities for streamlining the annotation workflow

Let’s explore each company's annotation platforms or services and see the key features based on the above factors to help you determine the most suitable option.

1 - Encord - Enterprise-grade multimodal data labeling platform to produce high-quality data 

Encord is the top choice for ML teams working with multimodal, regulated, or large-scale data. Unlike platforms built purely for labeling, Encord offers a full-stack approach—annotation, data management, model evaluation, and QA workflows all in one.

Encord also provides intuitive dashboards to view insights on key metrics, such as label quality and annotator performance, to optimize workforce efficiency and ensure you build production-ready models faster.

SOTA Model-assisted Labeling and Customizable Workflows with Encord Annotate

Key Advantages: 

•  Complies with GDPR, SOC 2, and HIPAA, as well as  advanced encryption protocols t
• Allows users to upload up to 500,000 images , 100 GB in size, and 5 million labels per project. You can also upload up to 200,000 frames per video (2 hours at 30 frames per second) for each project Users can create workflows and assign roles to relevant team members to manage tasks at different stages
• Multimodal platform supporting images, videos, audio, text, documents, DICOM, 3D, and point cloud
• Automated labeling with (SAM)  integration, interpolation and object tracking Integrates with popular cloud storage platforms, such as AWS, Google Cloud, Azure, and Open Telekom Cloud OSS, to import datasets

Example Use Case:

Medical teams at Cedars-Sinai use Encord to annotate radiology data and improve diagnostic AI accuracy, using built-in QA workflows and robust permissioning.

2 - iMerit - Integrated labeling platform for annotating text, video, and image data

Merit offers Ango Hub, a data annotation solution built on a generative AI framework that lets you build use-case-specific applications for autonomous vehicles, agriculture, and healthcare industries.

• Functionality to add labelers and reviewers to and customized workflows 
• Supports audio, image, video, DICOM, text, and markdown data types.
• Supports bounding boxes, polygons, polylines, segmentation, and tools for natural language processing (NLP).
• Has plugins for automated labeling and machine learning models for AI-assisted annotations

iMerit

3 - Appen - hybrid solution for building multi-modal models for text and vision applications

Appen offers data annotation solutions for building large language models (LLMs) by providing a standalone labeling platform and data labeling services through expert linguists.

• More than a million specialists that speak over 200 languages across 170 countries. With the option to combine its platform with its servicesFunctionality to label documents, images, videos, audio, text, and point-cloud data.
• Labeling methods include bounding boxes, cuboids, lines, points, polygons, ellipses, segmentation, and classification.
•  Offers domain-specific instruction datasets for training LLMs

Appen

4 - Label Your Data - Annotation service provider for outsourcing labeling 

Label Your Data is a data annotation service provider offering video and image annotation services for CV and NLP applications.

• Complies with ISO 27001, GDPR, and CCPA standards
•  Remote team of over 500 data annotators to speed up the annotation process
• Supports image, video, point-cloud, text, and audio data
• Includes semantic segmentation, bounding boxes, polygons, cuboids, and key points 
• NLP methods include named entity recognition (NER), sentiment analysis, audio transcription, and text annotation

Label Your Data

5 - Keymakr - Data creation and annotation services for beginner CV teams

Keymakr is an image and video annotation service provider that manages labeling processes through its in-house professional experts.

• Ability to label up to 100,000 data items
•  Supports image, video, and point-cloud data.
• Features a smart distribution to match relevant annotators with suitable tasks based on skillset
• Provides performance analytics to track progress and alert managers in case of issues.
• Offers services to create relevant data for your projects or collect it from reliable sources

Keymakr

6 - TrainingData - On-premises image annotation platform for segmentation tasks

TrainingData is a Software-as-a-Service (SaaS) data labeling application for CV projects, featuring pixel-level annotation tools for accurate labeling. 

• Provides a Docker image to run on your local network through a secure virtual private network (VPN) connection.
• Label up to 100,000 images
• Create projects and add relevant collaborators with suitable roles, including reviewer, annotator, and admin
• Offers brush and eraser for pixel-accurate segmentation, bounding boxes, polygons, key points, and a freehand drawer for freeform contours
•  Integrates with any cloud storage service that complies with cross-origin resource sharing (CORS) policy

TrainingData

7 - SuperbAI - Integrated data management solution for training machine learning algorithms 

SuperbAI offers multiple products for building AI models, including a data management platform, a labeling solution, and a tool for training, evaluating, and deploying models.

• Complies with SOC standards and encrypts all data using Advanced Encryption Standard - 256 (AES-256)
• Offers access management tools and lets you invite team members as admins, labelers, and managers
• Supports images and videos in PNG, BMP, JPG, and MP4 formats as well as point-cloud data.
• Supports all standard labeling methods, including bounding boxes, polylines, polygons, and cuboids.
• Integrates with Google Cloud, Azure, AWS, and Slack

SuperbAI

8 - Kili Technology - Lightweight annotation solution for building generative AI applications

Kili Technology offers an intuitive labeling platform to annotate data for LLMs, generative AI, and CV models with quality assurance features to produce error-free datasets.

• Allows users to assign multiple roles to team members, including reviewer, admin, manager, and labeler, to collaborate on projects through instructions and feedback
• Supports bounding boxes, optical character recognition (OCR), NERs, pose estimation, and semantic segmentation
• Supports automated labeling through active learning and pre-annotations using ChatGPT and SAM.

Kili Technology

9 - Telus International - Complete AI solution for collecting, labeling, and managing raw data

Telus International’s Ground Truth (GT) studio offers three platforms as part of a managed service to build training datasets for ML models.

GT Manage helps with people and project management; GT Annotate lets you annotate image and video data. GT Data is a data creation and collection tool supporting multiple data types.

Key Features

• Data security: GT Annotate complies with SOC 2 standards and implements two-factor authentication with firewall applications and intrusion detection for data security.
• Collaboration: GT Manage features workforce management tools for optimal task distribution and quality control.
• Supported data types: You can collect image, video, audio, text, and geo-location data using GT data.
• Supported labeling methods: GT Annotate supports bounding boxes, cuboids, polylines, and landmarks.

Telus International

10 - SuperAnnotate - Annotation solution to build generative AI applications

SuperAnnotate offers a data labeling tool that lets you manage AI data through collaboration tools and annotation workflows while providing quality assurance features to produce labeling accuracy.

• Allows users to create teams and assign relevant roles such as admin, annotator, and reviewer
• Supports image, video, text, and audio data
• Has tools for categorization, segmentation, pose estimation, object tracking, sentiment analysis, and speech recognition

SuperAnnotate

11 - Cogito - Best for startups looking for a company to outsource their AI operations

Cogito is a data labeling service provider that employs a large pool of human annotators to deliver annotations for generative AI, CV, content moderation, NLP, and data processing.

• Complies with GDPR, SOC 2, HIPAA, CCPA, and ISO 27001 standards
• Supports image, video, audio, text, and point-cloud data.
• Uses AI-based algorithms to label large data volumes.

Cognito

12 - Labelbox - Solutions to build applications for e-commerce, healthcare, and financial services industries

Labelbox offers multiple products for managing AI projects. Its data labeling platform allows you to annotate various data types for building vision and LLM applications.

• Complies with several regulatory standards, including GDPR, CCPA, SOC 2, and ISO 27001
• Allows users to create projects and invite in-house labeling team members with relevant roles to manage the annotation workflow
• Supports model-assisted labeling (MAL) to import AI-based classifications for your data
• Integrates with AWS, Azure, and Google Cloud to access data repositories quickly

LabelBox

How to Choose the Right Data Labeling Company

Here’s a quick checklist based on your project needs:

Encord leads for enterprise-scale, regulated, or multimodal workflows due to its breadth of support, QA tools, and full data ops ecosystem.

Final Thoughts: What’s the Best Data Labeling Company in 2025?

The ideal platform depends on your team size, data type, and regulatory needs. However, for teams working with multimodal data, in high-states environments like Physical AI and healthcare Encord offers the most complete, scalable, and secure platform.

Its all-in-one platform helps you move beyond just labeling—offering tools for model monitoring, evaluation, and error analysis that accelerate time-to-deployment and improve AI performance.

If you want reliable, accurate, user-friendly data annotation at scale, Encord is the platform to build on in 2025 and beyond.