Kili Technology
Data annotation platform built for organizations running many labeling projects at once across images, video, text, PDF and geospatial data.
🔗 Visit Kili Technology
Description
A company with one small labeling project can get by with a simple tool. A company running dozens of labeling projects at once — different data types, different teams, different quality bars, all in parallel — needs something built for that scale of coordination, not just a bigger version of the simple tool. Kili Technology is built specifically for that multi-project, multi-team reality. Kili Technology is a data annotation platform supporting images, video, text, PDF and geospatial data, with AI-assisted pre-labeling and auto-annotation to speed up repetitive work, workforce collaboration tools for coordinating labeling teams at scale, and quality-control and performance tracking to keep standards consistent across many concurrent projects. It holds SOC 2 Type II, ISO 27001 and HIPAA certifications, with role-based access control for enterprise security requirements. Pricing includes a free tier (100 text/image assets, 5 video assets), a Grow tier with custom pricing, and an Enterprise tier, also custom-priced.
💬 Our review
The short version: Kili Technology's real differentiator is operational — the platform is built around running many concurrent annotation projects with different teams and data types cleanly, rather than optimizing for any single specialized data type the way Encord does with video/3D data.
Its certification profile (SOC 2 Type II, ISO 27001, HIPAA) puts it on comparable enterprise footing to SuperAnnotate and Labelbox, so the deciding factor between them is less about compliance and more about which data types and workflow features matter most: Kili's geospatial support is relatively distinctive in this cluster, while Labelbox pulls ahead specifically on RLHF/agent post-training infrastructure. The free tier (100 assets) is small enough that it's really only useful for a first look at the interface, not a real evaluation — expect to move to the custom-priced Grow tier fairly quickly for anything beyond a proof of concept, and to negotiate pricing directly since none of it is public beyond the free tier.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Pros
Built for running many concurrent annotation projects across teams and data types
Relatively distinctive geospatial data annotation support
SOC 2 Type II, ISO 27001 and HIPAA certified
Cons
Free tier (100 assets) is too small for a real evaluation, only a first look
Pricing beyond free tier is fully custom, requires a sales conversation
Less specialized than Encord for deep video/3D/LiDAR work
🔄 Alternatives to Kili Technology
See all alternatives to Kili Technology →❓ Frequently asked questions
- What makes Kili Technology different from a basic labeling tool?
- It's built for organizations running many annotation projects in parallel — different teams, data types and quality standards — rather than optimizing for a single project or data type.
- What data types does Kili Technology support?
- Images, video, text, PDF and geospatial data, with AI-assisted pre-labeling to speed up repetitive annotation tasks.
- Is Kili Technology compliant for regulated industries?
- Yes — it holds SOC 2 Type II, ISO 27001 and HIPAA certifications, with role-based access control for enterprise security needs.
- How much can I try for free?
- The free tier covers 100 text/image assets and 5 video assets — enough to explore the interface, but too small for a real evaluation at typical project scale.
- Is it worth the money compared to alternatives?
- Without public pricing beyond the free tier, cost comparison requires talking to sales for all the main competitors (Labelbox, Encord, SuperAnnotate). Kili's edge is specifically managing many concurrent projects cleanly and its geospatial data support — worth prioritizing if either matters to you.
- Which tool should you pick for your case?
- Running many concurrent annotation projects across teams: Kili Technology. Labeling video, 3D or robotics sensor data: Encord. Doing RLHF or agent post-training at frontier-lab scale: Labelbox. Need strong cloud data warehouse integrations: SuperAnnotate.