Kili Technology
Data labeling and annotation platform for building, curating, and evaluating datasets to train and fine-tune AI/ML models.
At a Glance
About Kili Technology
Kili Technology provides a collaborative platform for building datasets used to train, fine-tune, and evaluate AI/ML models. Teams label images, video, text, PDFs, audio, and geospatial imagery in one place, with review and quality workflows. The company says the platform went live in July 2020.
What It Is
Kili is a data annotation and curation platform. Users configure ontologies, annotate data with AI-assisted pre-annotation, and run quality review workflows across many concurrent projects. The site lists modality-specific tools for image (with SAM 2 integration), video, NLP and LLM text (NER, classification, sentiment), OCR and document layout analysis, geospatial imagery, and audio (transcription and diarization).
Collaboration and Workforce
The collaboration architecture covers role-based access, automatic task distribution, per-annotator performance tracking, and quality gates across projects. For teams that need extra capacity, Kili says it works with partners to source and train annotators and can manage labeling projects fully.
Security and Deployment
Kili states it is SOC 2 Type II, ISO 27001, and HIPAA certified. It offers project-level data isolation, granular role-based access, and deployment options from managed cloud to air-gapped on-premise. SSO is mentioned in a customer review.
Getting Started
The platform offers a free trial and a 2-week evaluation period for organizations needing advanced tooling.
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Pricing
Grow
Custom subscription plan for teams; price not published.
- Up to 20 team seats
- Up to 50,000 assets
- API & Python SDK
- Support level adapted to your needs
- Accessible professional services
Enterprise
For organizations requiring advanced security and customization; custom contract.
- All Grow features
- Custom seat allocation
- Custom terms
- SSO integration
- Advanced security features
Capabilities
Key Features
- Image, video, text, PDF, audio, and geospatial annotation
- OCR and document layout analysis
- NLP annotation (NER, classification, sentiment)
- SAM 2 integration for image annotation
- AI-assisted pre-annotation
- Configurable ontologies
- Role-based access and automatic task distribution
- Per-annotator performance tracking and quality gates
- Project-level data isolation
- Cloud and air-gapped on-premise deployment
- Managed labeling workforce services
