Comparisons

CVAT Alternative

CVAT may be a popular open-source option, but enterprise AI teams quickly hit roadblocks when scaling to production. Complex datasets, distributed teams, and demanding ML pipelines require a robust, enterprise-ready platform. Kili Technology delivers where CVAT falls short.

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Support for Large Files and Datasets
Easy scalability of teams and projects
Built-in real-time collaboration features

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Features

Beyond CVAT's Performance Ceiling

Enterprise ML projects demand speed and reliability that open-source tools simply can't deliver. CVAT users consistently report performance degradation with larger datasets, risking lost work and missed deadlines.

Kili Technology was built from the ground up for enterprise-scale annotation, with architecture designed to handle your most demanding projects:

  • Handle datasets 10x larger with stable, predictable performance
  • Reduce annotation time by up to 10x with AI-assisted labeling
  • Work with any file format: images, PDFs, video, and geospatial data
  • Maintain annotation quality with automated validation systems
  • Keep teams aligned with real-time collaboration tools

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Features

Transform Team Collaboration, Not Just Annotations

CVAT was designed for individual contributors, not enterprise teams. Without built-in notification systems, team communication tools, or robust user management, coordination becomes a major challenge as teams scale.

Kili Technology makes collaboration central to the annotation experience:

  • Keep teams connected with integrated question and answering and activity tracking
  • Resolve questions directly with in-context commenting on specific annotations
  • Scale confidently with role-based permissions and customizable workflows
  • Stay informed with automated notifications when tasks are completed
  • Simplify enterprise deployment with SSO and advanced user management

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Features

Built for Subject Matter Experts in Every Domain

CVAT was designed for individual contributors, not enterprise teams. Without built-in notification systems, team communication tools, or robust user management, coordination becomes a major challenge as teams scale.

Kili Technology makes collaboration central to the annotation experience:

  • Keep teams connected with integrated question and answering and activity tracking
  • Resolve questions directly with in-context commenting on specific annotations
  • Scale confidently with role-based permissions and customizable workflows
  • Stay informed with automated notifications when tasks are completed
  • Simplify enterprise deployment with SSO and advanced user management

‍

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Testimonials

Trusted by teams around the world

We listen closely to our users — and build with their feedback in mind. Their success is what drives us forward.

I have been using Kili for 6 months now on a wide range of labeling use cases (both in computer vision and natural language processing). The stability offered by the tool is essential when you have tight deadlines and large volumes of data to annotate. Our team of over 1000 workers is accustomed to the tool, we were able to easily integrate our workforce management tool with Kili with the SSO functionality.
Seraphin G, G2 Reviewer
Kili is a powerful and easy-to-use tool for data labeling and annotation. The interface is user-friendly and offers several interesting features. The customer support team is also responsive and helpful.
Beatrice D, G2 Reviewer
Software to engage both labelers and business lines in the necessary but tedious task of labeling and annotation, served by a dedicated team to listen to your problems.
G2 Reviewer
Thanks to the fact that our AI infrastructure now includes Kili Technology, we can use the tool for all kinds of projects... LCL teams can accelerate drastically the creation of their training datasets, which means a significant improvement for all the parties involved.
Axel Cypel, AI Expert at LCL
With the choice of Kili, we are much more confident about the future. We decided to eliminate a large part of the technical debt by choosing a solution that will be perfectly mastered across a whole range of data science and AI projects.
Phileas Condemine, Data Science Lead at Covéa
I have been using Kili for 6 months now on a wide range of labeling use cases (both in computer vision and natural language processing). The stability offered by the tool is essential when you have tight deadlines and large volumes of data to annotate. Our team of over 1000 workers is accustomed to the tool, we were able to easily integrate our workforce management tool with Kili with the SSO functionality.
Seraphin G, G2 Reviewer
Kili is a powerful and easy-to-use tool for data labeling and annotation. The interface is user-friendly and offers several interesting features. The customer support team is also responsive and helpful.
Beatrice D, G2 Reviewer
Software to engage both labelers and business lines in the necessary but tedious task of labeling and annotation, served by a dedicated team to listen to your problems.
G2 Reviewer
Thanks to the fact that our AI infrastructure now includes Kili Technology, we can use the tool for all kinds of projects... LCL teams can accelerate drastically the creation of their training datasets, which means a significant improvement for all the parties involved.
Axel Cypel, AI Expert at LCL
With the choice of Kili, we are much more confident about the future. We decided to eliminate a large part of the technical debt by choosing a solution that will be perfectly mastered across a whole range of data science and AI projects.
Phileas Condemine, Data Science Lead at Covéa
Blog

More Resources

Stay up to date with fresh content from our team — tutorials, use cases, and ideas to help you grow.

How to Train Computer Vision Models on Satellite Imagery
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How to Train Computer Vision Models on Satellite Imagery

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Deep-diving into SAM 2: How Quality Data Propelled Their Visual Segmentation Model
December 5, 2024

Deep-diving into SAM 2: How Quality Data Propelled Their Visual Segmentation Model

Meta's Segment Anything Model 2 (SAM 2) represents a major leap forward in visual segmentation technology. Built on an innovative streaming architecture and trained on the largest video segmentation dataset to date, SAM 2 delivers superior accuracy with 3× fewer user interactions compared to previous approaches. This article explores how SAM 2's memory-equipped design and three-phase data collection methodology translates into practical applications through platforms like Kili Technology.

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A Comprehensive Guide for Ensuring High-Quality Image Annotation Datasets
December 6, 2023

A Comprehensive Guide for Ensuring High-Quality Image Annotation Datasets

Every CV application relies on high-quality data, which necessitates a strong image annotation process. This enables data scientists and computer vision experts to train models more effectively. However, maintaining data quality is challenging due to growing data volumes and complexity. Check out our guide for best practices in creating top-notch datasets for your models.

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Data Labeling
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