
Kili Technology
Data labeling platform for creating high-quality datasets to train AI models.
- Paid
- Web, API
- DesignDeveloper ToolsCode

What is Kili Technology?
Key features
Automated annotation
AI-powered tools speed up labelling of large datasets
Multi-format data support
Handles images, text, video, audio, and other unstructured data
Programmatic quality assurance
Automated tools identify and flag labelling errors
Expert labelling services
Access to professional annotators with quality guarantees
Workflow management
Organises annotation, review, and approval processes
Pros & cons
Advantages
- Significantly reduces time to create training datasets
- High accuracy through expert workforce and automated quality checks
- Flexible data format support for diverse AI projects
- Scales from small projects to enterprise-scale operations
- 95% quality assurance standard from professional labellers
Limitations
- Requires clear labelling guidelines to work effectively
- Costs scale with data volume, which can be significant for large projects
- Setup and configuration require time to establish labelling schemas
- Quality depends on how well initial requirements are defined
Use cases
Creating large image datasets for computer vision model training
Annotating text data for natural language processing models
Labelling video frames for video analysis and object detection
Medical image annotation for healthcare AI applications
Product data classification for e-commerce and search models
Ready to try Kili Technology?
Pricing
Starter
Contact sales
Entry-level plan for small projects; includes automated annotation tools and basic quality assurance
Professional
Contact sales
Mid-scale projects; expert labelling services, programmatic QA, multi-format support
Enterprise
Contact sales
Large-scale operations; unlimited data volume, dedicated support, custom workflows, SLA guarantees
Get started with Kili Technology
Click through to Kili Technology and start using it now.