Tool overview
Kili Technology is listed under AI Infrastructure & MLOps AI tools.
What is Kili Technology?
Kili Technology provides collaborative annotation, review, quality management, and professional labeling services for text, documents, images, video, audio, and geospatial data used in training, fine-tuning, and evaluating AI systems.
Best for
AI teams managing high-quality multimodal labeling and review programs
Who is it for?
Decision note
Suitable for evaluation after confirming final commercial terms, permissions, data handling, lifecycle status, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.
Key features
Multimodal labeling for text, documents, images, and video
Configurable ontologies and project workflows
AI-assisted labeling and model predictions
Review queues, consensus, and quality metrics
API and Python SDK for data operations
Cloud, hybrid, and on-premise deployment options
Use cases
Creating supervised fine-tuning datasets
Annotating computer-vision and document data
Evaluating model outputs with human review
Managing internal and external labeling workforces
Building regulated datasets on private infrastructure
Pros
- Supports several complex data modalities
- Strong review and workforce controls
- Offers professional labeling services
- Provides on-premise options for sensitive data
Limitations
Annotation quality depends on task design, workforce training, source data, and review policy. Teams should validate ontology definitions, privacy, inter-annotator agreement, sampling, and exports before model use.
Pricing details
Billing options
Pricing note
Kili offers a $0 trial with one seat and limited assets, plus a tailored two-week team evaluation without a credit card. Grow and Enterprise use custom subscription or contract pricing. The trial is not an ongoing free plan.
Supported languages
- English
Integrations
Amazon S3
Google Cloud Storage
Azure Blob Storage
Python SDK
REST API
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