Kili
UnclaimedThe most robust annotation tool for building powerful AI with high-quality, trustworthy datasets.
Visit WebsiteTL;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
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)
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 TrialFree 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
About Kili
By Toolradar Team·
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.
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Kili FAQ
What is Kili?
Kili Technology is a comprehensive data platform that provides robust tools for annotating, curating, and iterating on datasets to build, train, fine-tune, and evaluate powerful AI and ML models.
How much does Kili cost?
Kili offers a 'Free Trial' plan with limited features. For more advanced needs, there are 'Grow' and 'Enterprise' plans, which are custom subscription or contract-based, requiring direct contact with their sales team for pricing.
Is Kili free?
Yes, Kili offers a 'Free Trial' plan that includes 2 team seats, a 200 asset limit, and basic annotation features for image, video, and PDF annotation. No credit card is required for the trial.
Who is Kili for?
Kili is designed for data scientists, subject matter experts, and annotation teams, ranging from small teams working on POCs to large enterprises coordinating distributed annotators and business stakeholders, who need to build high-quality, trustworthy datasets for AI/ML projects.
Source: kili-technology.com