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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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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.

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Features

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.

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Features

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, ISO 27001, and HIPAA, with access granular by project and role.

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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.

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OCR & Document Layout Analysis

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

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Natural Language Processing

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

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Image Annotation

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

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Video Annotation

Annotate long videos seamlessly and boost productivity with advanced automation.

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LLM & RAG Evaluation

Build quality-focused RLHF workflows and evaluate RAG systems with dynamic and static support.  

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Workforce Services

Expert Annotation Through Vetted Labeling Partners

Domain expertise doesn't scale by hiring. Kili's annotation capacity comes from a vetted partner network of specialists in medical imaging, aerial and satellite interpretation, industrial inspection, and automotive and robotics perception — which means a new modality or a volume spike is a matching problem, not a recruiting cycle. Kili's data scientists manage the project and hold every partner to the same review workflows and quality thresholds.

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Use Cases

High-precision labeling built for large datasets

High-precision labeling built for large datasets

Robotics & embodied AI

Perception and manipulation datasets from field trials — object detection, keypoint annotation, and tracking across continuous footage.

Medical imaging

Clinician-validated segmentation for diagnostic AI.

Aerospace & defense

Satellite and aerial imagery under on-premise deployment.

Industrial inspection

Defect detection with domain-expert review on contested classifications.
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You can also check out our documentation to learn more about our features. We're ready when you are.

Plans

Free Trial

Test out our platform for your use cases, no credit card required.

$0
/month
  • 1 team seat
  • 100 asset limit for text, documents, and images
  • 5 asset limit for video and satellite imagery
  • AI-assisted labeling
  • * For evaluating more advanced use cases, speak with our team
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Enterprise

For organizations requiring advanced security and customization

Custom Contract
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All Grow features
including:
  • Custom seat allocation
  • Custom terms
  • SSO integration
  • Advanced security features
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Blog

More Resources

Stay up to date with fresh content from our team — tutorials, use cases, and ideas to help you train AI/ML models better.

January 17, 2025

Satellite Imagery Annotation: Challenges and Solutions

Discover how to tackle the biggest challenges of satellite imagery and geospatial data annotation. Learn which tools are available to you.

Kili Technology
January 2, 2023

Our Complete Guide to Video Annotation (2026 Update)

Whether you're building training data for a cutting-edge autonomous system or developing retail analytics, video annotation is the foundation of computer vision success. The right combination of skilled annotators, efficient video annotation tools, and robust processes will help you create the accurate video annotations your AI models need to perform in real world applications.

Kili Technology
July 15, 2026

Introduction EU AI Act: What Every AI Team Needs to Know Before August 2026

The EU AI Act regulates AI applications by risk level, assigning obligations to every organisation that develops or deploys AI systems affecting people in the EU. This guide covers what the Act requires, who is in scope, which use cases are affected, and the enforcement timeline your team should be working against.

Kili Technology
AI Evaluation
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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?
Testimonials

Trusted by teams around the world

Learn how Kili Technology has changed the way these teams train, fine-tune, and evaluate their models.

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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.
Seraphin G, G2 Reviewer
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.
Beatrice D, G2 Reviewer
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.
G2 Reviewer
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.
Axel Cypel, AI Expert at LCL
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.
Phileas Condemine, Data Science Lead at Covéa
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