Kili Technology is a platform for building AI/ML datasets, with core capabilities spanning data annotation, data curation, quality review, collaborative workflows, and model evaluation. It is more than a simple labeling tool: it emphasizes a “trusted, high-quality” data pipeline for training, fine-tuning, and evaluating models, and can also provide managed labeling services.
The platform supports multiple modalities, including images, video, NLP, OCR/documents, geospatial imagery, as well as LLM and RAG evaluation. On the AI side, its pages explicitly mention AI-assisted labeling, SAM 2 integration for image annotation, and workflows combining RLHF, RAG evaluation, and LLM-as-a-judge with HITL. Collaboration features are strong, with support for custom workflows, roles and permissions, task distribution, consensus scoring, annotator agreement, anomaly detection, review feedback, and issue tracking. It is suitable for scaling from small POCs to teams of hundreds.
The free trial requires no credit card and includes 1 team seat, 100 text/document/image assets, and 5 video and satellite imagery assets. Grow and Enterprise are mainly offered through custom subscriptions or contracts. Grow supports up to 20 seats and 50,000 assets, and includes the API and Python SDK; Enterprise adds SSO, advanced security, and custom terms. For integrations, Kili Technology provides a REST API, Python SDK, CLI, and Webhooks, and can connect with MLflow, Weights & Biases, Kubeflow, as well as AWS S3, Google Cloud Storage, and Azure Blob.
The strengths are its broad multimodal coverage, detailed quality-control mechanisms, extensive security and compliance information, support for SOC 2 Type II, ISO 27001:2022, HIPAA, on-premise/cloud/hybrid deployment, and managed expert labeling services. The drawbacks are limited public pricing transparency and a relatively small free allowance. It may also feel overly enterprise-oriented for individual developers, and there is no clear information on a Chinese interface, Chinese-language customer support, or accessibility from mainland China.
It is best suited to data science teams, ML engineering teams, regulated industries, defense/healthcare/finance projects, and companies that need expert annotation, RAG evaluation, or model benchmarking. Access from China, payment methods, and local alternatives are not clearly stated in the available text. Mainland China teams considering procurement should focus on verifying network connectivity, data export compliance, payment options, and contract terms. Comparable options include Labelbox, Scale AI, SuperAnnotate, CVAT, and Label Studio.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on kili-technology.com official site.
kili-technology.com is an France AI Apps provider. TG4G tracks its product information, an overall rating of 8.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach kili-technology.com directly.