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The most robust annotation tool for building powerful AI with high-quality, trustworthy datasets.

AI Data LabelingData & DatabasesDeveloper Tools
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Reviews onG2Capterra
53 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Accelerates data labeling and iteration cycles significantly

Biggest con

No specific cons mentioned in the provided text.

TL;DR - Kili

  • Builds high-quality training data for AI/ML models 10x faster.
  • Supports diverse data types and scales annotation teams from 1 to 500+ collaborators.
  • Offers enterprise-grade security and integrates seamlessly with existing ML stacks.
Pricing: Free plan available
Best for: Growing teams
4.7/5 across review platforms

What is Kili?

Editorial review
Kili Technology is a comprehensive data platform designed to streamline the labeling, quality review, and iteration processes for AI/ML models. It enables organizations to build and scale high-quality training data up to 10x faster, supporting everything from small Proof of Concepts (POCs) to large-scale data production. The platform caters to a wide range of users, from data scientists in small teams to large enterprises coordinating subject matter experts, business stakeholders, and distributed annotators. The platform offers a complete toolset for annotating various data types, including geospatial imagery, OCR & document layout analysis, natural language processing, image annotation, video annotation, and LLM & RAG evaluation. It provides robust features for workflow configuration, real-time quality control, and seamless collaboration across distributed teams, ensuring consistent quality and efficient execution. Kili also emphasizes enterprise-grade security, offering deployment options on-premise, in the cloud, or via their secure infrastructure, with certifications like SOC2 Type II, ISO 27001, and HIPAA.

Available on: Web

how we evaluateSourcekili-technology.com ↗

Pros & Cons

Pros

  • Accelerates data labeling and iteration cycles significantly
  • Supports a wide range of complex data types and specialized formats
  • Provides robust collaboration and quality control features for large teams
  • Offers flexible deployment options and strong security compliance
  • Integrates well with existing machine learning infrastructure

Cons

  • No specific cons mentioned in the provided text.

Ratings Across the Web

4.7(53 reviews)
G252 reviews
4.7/5
Capterra1 reviews
5/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Multimodal annotation tools for various data types (Geospatial, OCR, NLP, Image, Video, LLM/RAG)Configurable workflows for teams of any size and quality strategyReal-time quality control with consensus scoring and anomaly detectionSeamless collaboration with integrated communication, issue tracking, and feedback loopsAPI, webhooks, and plugins for integration with existing ML stacksEnterprise-grade security (SOC2 Type II, ISO 27001, HIPAA)Workforce management services for sourcing and training annotatorsAutomated task routing with custom rules

Pricing Plans

Free Trial

Pricing checked Jul 4, 2026

Free Trial

$0 / month

  • 2 team seats
  • 200 asset limit
  • Image, video, and PDF annotation
  • Basic annotation features

Grow

Custom Subscription

  • Up to 20 team seats
  • Up to 50,000 assets
  • API & Python SDK
  • Support level adapted to your needs
  • Accessible professional services

Enterprise

Custom Contract

  • All Grow features
  • Custom seat allocation
  • Custom terms
  • SSO integration
  • Advanced security features
Calculate your costView full pricing

Reviews

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4.7/5

Across 53 verified user reviews on G2, Capterra

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Still deciding?

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Kili FAQ

How does Kili accelerate the creation of AI training data?

Kili streamlines the labeling, quality review, and iteration processes for AI/ML models, allowing organizations to build and scale high-quality training data up to 10x faster. It supports everything from small Proof of Concepts to large-scale data production.

Which data types can Kili annotate?

Kili offers a complete toolset for annotating various data types, including geospatial imagery, OCR and document layout analysis, natural language processing, image annotation, video annotation, and LLM and RAG evaluation.

How does Kili compare to Labelbox for managing data labeling workflows?

Kili emphasizes robust features for workflow configuration, real-time quality control, and seamless collaboration across distributed teams, ensuring consistent quality and efficient execution. It is designed to accelerate data labeling and iteration cycles significantly for a wide range of complex data types.

What kind of user or team benefits most from Kili?

Kili caters to a wide range of users, from data scientists in small teams to large enterprises coordinating subject matter experts, business stakeholders, and distributed annotators. It is designed for organizations that need to build powerful AI with high-quality, trustworthy datasets.

Does Kili include a free tier?

Yes, Kili is available on a free tier. Paid plans are offered for users requiring more usage and additional features.

Can Kili be deployed in a secure, on-premise environment?

Yes, Kili offers flexible deployment options, including on-premise, in the cloud, or via their secure infrastructure. The platform also emphasizes enterprise-grade security with certifications like SOC2 Type II, ISO 27001, and HIPAA.

Source: kili-technology.com

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