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Deployment, Your Way

Where your data has to sit is a constraint, not a negotiation. Use Kili's cloud, keep your files in your own storage while you do, or run everything on your own Kubernetes, and size the infrastructure yourself from published requirements.

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Features

Deploy where the data already is

The security review that stalls most platform purchases is one question about where the data sits. Kili answers it three ways, all three documented, so deployment becomes a choice your team makes on its own constraints instead of a negotiation that delays the project.

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Workstreams stay separate

Data from one business unit, client or regulated domain stays out of every other workstream. Each Kili project is its own isolated unit, with its own assets, team and permissions. Storage integrations can be restricted to specific projects, and only organization admins see every project; everyone else sees only the projects they are members of.

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Compliance that stays current

Security procurement and regulatory audit both want proof that is current, not a one-time certificate. Kili maintains SOC 2 Type II and ISO 27001:2022 certification and HIPAA compliance, audited every year, with encryption at rest and in transit as standard.

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

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Put Kili to the Test

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Solutions

Where the work has to run

AI EvaluationPost-TrainingData Labeling

Evaluation on data that cannot move

The models worth evaluating are often the ones handling material you cannot copy into someone else's cloud. Run the evaluation where the data already sits: in your own storage bucket while you use Kili's cloud, or on your own cluster with no internet dependency after installation. The specialists judge the same way in either mode, against the same ontology and the same review steps.

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Your experts' answers never leave your perimeter. Your specialists, Kili, the post-training set and your model all sit inside your own cluster, with no connection to anyone else's cloud.

Post-training data that never leaves

Post-training data is the most sensitive thing your team will produce, because it is your own experts writing down what a correct answer looks like in your domain. That work can run entirely on your own Kubernetes cluster, with no internet dependency after installation. The ontology, the review steps and the export are configured the same way wherever the platform is installed.

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The same RAG evaluation question, criteria, Label and Review steps and specialists, shown once on Kili's cloud with files in your own storage and once on-premise with no internet needed after installation.

Labeling inside your security perimeter

A labeling programme at volume is where the deployment question gets asked first, usually by someone who is not on the project. Kili runs on your own Kubernetes with no internet or root access required after installation, and the published requirements let your platform team size it before the budget conversation starts.

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Internet for the install. None after that. Kili installed on your own Kubernetes with PostgreSQL and S3-compatible storage, then an impeller image labeled and reviewed on-premise with no internet access.
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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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Audio Annotation

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

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Customer stories

Proof from teams already doing it

Customer stories from the programs that put this to work — with the numbers behind them.

LCL Bank automates KYC with AI document extraction

Learn how France's LCL Bank transformed regulatory compliance, processing millions of ID documents and DPE forms in weeks instead of months with AI automation.

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Enabled Intelligence hits 99% geospatial accuracy

Discover how Enabled Intelligence achieved 95%+ accuracy processing millions of geospatial labels for military and commercial AI. See why Kili Technology beat 35+ platforms for mission-critical applications.

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A European defense consortium labels 2M military images

How a major European defense consortium leveraged Kili Technology's secure workforce and multi-level infrastructure to successfully annotate 2+ million military images across 8 EU partners, setting new precedents for collaborative defense AI initiatives.

Read case study →
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
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
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.

July 15, 2026

Best On-Premise Data Labeling Platforms for Regulated Industries [2026] Guide

Compare the best on-premise data labeling platforms for defense, healthcare, and finance in 2026. This guide evaluates secure deployment models, certifications (SOC 2, ISO 27001, HIPAA), air-gapped operations, and quality-at-scale for teams labeling sensitive AI training data.

Kili Technology
Data Labeling
June 24, 2026

Secure Data Labeling Guide: How to Protect Sensitive Data in AI Annotation Operations

Secure data labeling protects sensitive and regulated data during AI annotation without compromising compliance. Learn the deployment, certification, and access control requirements for annotating at scale.

Kili Technology
Data Labeling
December 12, 2025

2026 Data Labeling Guide for Enterprises: Build High Performing AI with Expert Data

Learn how modern data labeling combines automated labeling and expert HITL workflows to embed subject-matter expertise throughout the AI lifecycle, improving data quality, scalability, and model performance in production.

Kili Technology
Data Labeling
All Blog Posts
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.

What deployment options does Kili offer?
What are the hardware requirements to deploy Kili on-premise?
Can Kili be deployed air-gapped or without internet access?
What is different about the product when it runs on-premise?
Who manages upgrades, and how often?
How does this differ from open source deployments?
Which security certifications does Kili hold?
Can Kili be deployed on-premise for regulated industries like banking, healthcare or defense?
Can I keep my data in my own cloud storage while using Kili's cloud?
How is data kept separate between projects, teams or clients?
Is Kili GDPR compliant, and where is data hosted on Kili's cloud?
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