Kili Technology
Enhance ML models with superior data annotation and management.. [Freemium]
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What is Kili Technology?
Kili Technology is a collaborative data annotation platform built to help teams create high-quality datasets for training, fine-tuning, and evaluating AI models. It is designed around scalable, secure workflows that support labeling, quality review, and iterative improvement across the dataset lifecycle.
The platform emphasizes handling unstructured data and turning it into reliable training data. It supports images, videos, PDFs, and text, and it is positioned as a complete data suite for building structured datasets from many data types.
Kili is aimed at data scientists, ML teams, subject matter experts, annotators, and enterprises that need to operationalize AI projects. The website also highlights support for small POCs as well as large-scale production workflows with 1 to 500+ collaborators.
It is also marketed for organizations with sensitive data and regulated use cases, including defense, healthcare, government, and other enterprise environments. The company offers deployment options on-premise, in your cloud, or on secure infrastructure, along with workforce management services for projects that need extra annotation capacity.
Kili Technology pricing
Pricing model: Freemium
The website presents Starter, Pro, and Enterprise plans, with Starter shown at $0/month and Pro shown at $9/month on the page. The listed Starter plan includes 1 workspace, up to 3 users, basic dashboards and charts, 2 active projects, and 500 MB file storage. The Pro plan includes 1 workspace, up to 10 users, advanced analytics, unlimited projects and tasks, and 100 GB file storage. The page also shows yearly pricing examples, including Starter at $0/year, Pro at $19/year, and another plan listing at $39/year with unlimited users, custom analytics, team training and onboarding sessions, and 1 TB file storage. The site also says Enterprise includes hands-on support, and it frames pricing as simple, cancel-anytime pricing, but it does not provide a separate detailed enterprise quote or a clearly labeled free trial on the homepage.
Kili Technology pros
- Built for high-quality AI dataset creation
- Supports training, fine-tuning, and evaluation workflows
- Collaborative annotation and review
- Scales from small POCs to large production teams
- Handles images, videos, PDFs, and text
- Focuses on unstructured data transformation
- Built-in quality review and iteration
- Supports defined roles for large teams
- Enterprise-grade security options
- On-premise deployment available
- Cloud deployment available
- Secure infrastructure option
- Workforce management services available
- Suitable for sensitive and regulated data
- Designed for distributed annotator collaboration
Kili Technology cons
- Website does not show a simple public pricing page for the real product
- Pricing details on the site appear inconsistent and not clearly tied to annotation features
- No transparent feature-by-feature plan comparison for annotation tiers
- No free trial details are clearly described
- No self-serve signup flow is clearly documented on the homepage
- Advanced enterprise workflows likely require sales contact
- Workforce management services are only for select projects
- The site is broad and marketing-heavy, so core product limits are not clearly stated
Frequently asked questions about Kili Technology
What does Kili Technology do?
Kili Technology is a collaborative data annotation platform that helps teams build high-quality datasets for AI. It is used to label, review, and iterate on data so teams can train, fine-tune, and evaluate machine learning models more reliably.
What data types does Kili support?
The website says Kili supports structured datasets from all data types and specifically highlights images, videos, PDFs, and text. It is positioned for unstructured data workflows that need high-quality annotations across different formats.
Who is Kili Technology for?
Kili is aimed at data scientists, ML teams, annotators, subject matter experts, and enterprises building AI systems. The site also says it supports everything from small proof-of-concepts to large-scale annotation operations with many collaborators.
Can Kili be used for secure or regulated projects?
Yes. The website highlights enterprise-grade security and says Kili can be deployed on-premise, in your cloud, or on secure infrastructure. It also says the platform is trusted by organizations in defense, healthcare, and government.
Does Kili help with workforce management?
Yes. Kili says it can manage the full annotation lifecycle for select projects, including sourcing and training annotators, quality assurance, and workforce management. This is presented as a service for teams that want extra annotation capacity with less management overhead.
How does Kili support quality control?
The site emphasizes labeling, quality review, and iteration as core parts of the platform. It also mentions workflows designed to find and fix issues in datasets so teams can improve data quality before training or evaluation.
What collaboration features does Kili mention?
Kili says it supports scalable collaborative workflows with defined roles. The website highlights scaling annotation teams from 1 to 500+ collaborators and mentions coordination between data scientists, subject matter experts, business stakeholders, and distributed annotators.
Is there a free plan?
The pricing section shows a Starter plan at $0/month and also lists Starter at $0/year. The Starter plan is shown with 1 workspace, up to 3 users, basic dashboards and charts, 2 active projects, and 500 MB file storage.
What do the paid plans include?
The site shows a Pro plan with advanced analytics, unlimited projects and tasks, and 100 GB file storage. It also shows an Enterprise-style plan with hands-on support, and another yearly listing that includes unlimited users, custom analytics, team training and onboarding sessions, and 1 TB file storage.
What is Kili’s main value proposition?
Kili’s main promise is to help teams create trustworthy AI by making data easier to label, review, and improve. The website repeatedly frames the product as a way to accelerate high-quality training data production and remove data bottlenecks from AI projects.