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Product

Computer Vision Data at Enterprise Quality and Scale

Annotate images, video, documents, and satellite imagery for perception models that operate in the real world. Cut labeling time by 50–70% and launch 100+ use cases in a single platform. Deploy in the cloud, in a hybrid configuration, or entirely on your own infrastructure.

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Trusted by the world leaders

Features

Quality Control Built Into Every Annotation Workflow

The expensive labeling error is the one you find after training. Kili sets quality controls at the project level, before the first label is drawn: Python validation rules check every submitted annotation and send failures back automatically, consensus workflows quantify how much annotators actually agree on ambiguous assets, and review steps go to named reviewer groups rather than the next available reviewer.

Scale Across Modalities Without Rebuilding Your Pipeline

Images, video, documents, and satellite imagery run through the same platform, the same ontology structure, and the same review workflows — so quality doesn't mean something different in every system. Teams have gone from a single pilot to 100+ use cases within months without changing tools, scaling to millions of assets and hundreds of annotators across concurrent projects. Long video runs on keyframes, with bounding-box tracking and interpolation filling the sequence.

Adding a new modality means creating a project, not running a second procurement cycle.

On-Premise Deployment for Sensitive Visual Data

Deployment usually decides whether a project starts this quarter or next. Run Kili on your own Kubernetes or Docker infrastructure with no internet or root access required after installation, or keep the platform managed while your raw imagery stays in your own storage. Both are named hosting modes in the contract, so legal gets data-residency boundaries in writing rather than a support-ticket answer.

Headquartered in Europe, certified SOC 2 Type II and ISO 27001, HIPAA compliant, with access granular by project and role.

See if Kili is the best fit for your team and your data

Speak to our team for a free 14-day evaluation.

Complete Computer Vision Toolkit

Product photo of breast cell segmentation on Kili Technology's platform
  • Full annotation type coverage

    Bounding box, polygon, point, line, vector, semantic segmentation, pose estimation, and object tracking — configured per project through the ontology editor. Keypoint and pose annotation covers human-in-frame safety work and robot manipulation datasets built from image frames.
  • Interactive segmentation with SAM

    Click an object and get a mask. Two models are available depending on whether the project needs speed or precision, and masks can be refined node by node without redrawing.
  • Model-based pre-annotation

    Upload model predictions through the API and set queue priority from your model's confidence scores, so annotators spend their time where the perception model is least certain.
Tools

Build structured datasets from all data types

Kili Technology is a complete data suite that supports all data types and handles specialized formats for domain-specific requirements.

Geospatial Imagery

Drive reliable mapping and monitoring through high-quality geospatial annotations.

OCR & Document Layout Analysis

Turn unstructured documents into usable data with accurate text extraction and streamlined review workflows.

Natural Language Processing

Annotate text for NER, classification, and sentiment analysis with collaborative workflows.

Image Annotation

Annotate images 10x faster with SAM 2 integration and automated quality controls.

Video Annotation

Annotate long videos seamlessly and boost productivity with advanced automation.

Audio Annotation

Build quality-focused diarization and transcription workflows to improve ASR and Speaker Diarization models for domain-specific and multilingual use cases.

I have been using Kili for 6 months now on a wide range of labeling use cases (both in computer vision and natural language processing). The stability offered by the tool is essential when you have tight deadlines and large volumes of data to annotate. Our team of over 1000 workers is accustomed to the tool, we were able to easily integrate our workforce management tool with Kili with the SSO functionality.
Kili is a powerful and easy-to-use tool for data labeling and annotation. The interface is user-friendly and offers several interesting features. The customer support team is also responsive and helpful.
Software to engage both labelers and business lines in the necessary but tedious task of labeling and annotation, served by a dedicated team to listen to your problems.
Thanks to the fact that our AI infrastructure now includes Kili Technology, we can use the tool for all kinds of projects... LCL teams can accelerate drastically the creation of their training datasets, which means a significant improvement for all the parties involved.
With the choice of Kili, we are much more confident about the future. We decided to eliminate a large part of the technical debt by choosing a solution that will be perfectly mastered across a whole range of data science and AI projects.
I have been using Kili for 6 months now on a wide range of labeling use cases (both in computer vision and natural language processing). The stability offered by the tool is essential when you have tight deadlines and large volumes of data to annotate. Our team of over 1000 workers is accustomed to the tool, we were able to easily integrate our workforce management tool with Kili with the SSO functionality.
Kili is a powerful and easy-to-use tool for data labeling and annotation. The interface is user-friendly and offers several interesting features. The customer support team is also responsive and helpful.
Software to engage both labelers and business lines in the necessary but tedious task of labeling and annotation, served by a dedicated team to listen to your problems.
Thanks to the fact that our AI infrastructure now includes Kili Technology, we can use the tool for all kinds of projects... LCL teams can accelerate drastically the creation of their training datasets, which means a significant improvement for all the parties involved.
With the choice of Kili, we are much more confident about the future. We decided to eliminate a large part of the technical debt by choosing a solution that will be perfectly mastered across a whole range of data science and AI projects.
FAQ

Need help?

Got questions about Kili Technology? Check out our FAQ. If you can't find it in this list, drop a question for our team.

Which annotation types does Kili support for computer vision?
Can Kili handle video annotation at scale?
Can Kili be used for robotics and physical AI training data?
Does Kili support satellite and aerial imagery annotation?