Kili Technology
Build high-quality, trustworthy datasets for powerful AI
Founded
2018
Starting Price
$0
Category
AI & Machine Learning
Last updated June 30, 2026
About Kili Technology
Kili Technology is a collaborative data labeling and annotation platform for training, fine-tuning, and evaluating AI/ML models. It supports image, video, text, PDF, and geospatial data with AI-assisted pre-annotation, quality workflows, and enterprise-grade security for scaling annotation operations from small expert teams to hundreds of annotators.
Pros & Cons
Pros
- Supports a wide range of data types (image, video, text, PDF, OCR, geospatial) in one platform
- Strong workforce management for coordinating large annotation teams at scale
- Enterprise-grade compliance: SOC 2 Type II, ISO 27001, and HIPAA certified
- AI-assisted pre-annotation including SAM 2 for faster image labeling
- Responsive customer support frequently praised in G2 reviews
Key Features
Multi-Modal Annotation
Label image, video, text, PDF, OCR, and geospatial data from a single platform with configurable ontologies.
AI-Assisted Labeling
Speed up annotation with automated pre-annotation, including SAM 2 integration for image segmentation.
Quality Workflows
Built-in quality review, consensus, and quality gates that hold up across thousands of assets and concurrent projects.
Workforce Management
Coordinate hundreds of annotators with role-based access, automatic task distribution, and per-annotator performance tracking.
LLM & RAG Evaluation
Build RLHF workflows and evaluate RAG systems with dynamic and static support for human-in-the-loop AI.
Enterprise Security
SOC 2 Type II, ISO 27001, and HIPAA certified with project-level data isolation and granular role-based access.
API & Python SDK
Programmatically manage projects, assets, and labels for integration into existing ML pipelines.
Pricing
Free Trial
$0/month
- 1 team seat
- 100 asset limit for text, documents, and images
- 5 asset limit for video and satellite imagery
- AI-assisted labeling
- No credit card required
Best For
Training Data for Computer Vision
Annotate large image and video datasets with SAM 2-assisted labeling for object detection and segmentation models.
NLP Dataset Creation
Label text for named-entity recognition, classification, and sentiment analysis with collaborative review workflows.
LLM Fine-Tuning and RLHF
Build human-in-the-loop RLHF datasets and evaluate RAG systems for reliable generative AI.
Regulated-Industry Annotation
Handle sensitive data from healthcare or finance with HIPAA/ISO compliance and project-level isolation.
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