Meet Kili's new audio interface: mark speaker turns on the waveform, edit transcripts segment by segment, and send them to expert review.

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Product

Better Document AI from Your Experts' Review

An LLM or IDP model can pull the wrong value from a contract and look certain doing it. Send the extractions it is unsure of to Kili, where your document specialists check each field against the source page, and get the corrected result back through the API.

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Features

Expert time only on the fields that need it

Claims handlers, legal reviewers and clinicians spend their time on the extractions your model is unsure of, not on re-reading whole files. The model's values arrive pre-filled beside the source page, its confidence travels as filterable metadata, and reviewers confirm or correct each field without learning a new tool.

See how metadata reaches reviewers

One review standard across every document type

Contracts, invoices, claims files and scanned forms meet the same quality bar, so extraction accuracy doesn't depend on which team handled the file. Each document type keeps its own project and ontology, while Consensus, Honeypot and a second review step show which reviewers, and which fields, need attention.

See the quality controls

Sensitive documents stay where you put them

Contracts, KYC files and patient records stay in storage you control: your own bucket while you use Kili's cloud, or your own Kubernetes, with no internet access needed after installation. Kili is SOC 2 Type II and ISO 27001 certified and HIPAA compliant, and every label version keeps its author, date and time.

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

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

Put Kili to the Test

OCR and IDP tools, from box to verdict

Product photo of breast cell segmentation on Kili Technology's platform

  • Built-In OCR on Every Box

    Draw a box over a scan or PDF and its text fills in automatically, read in the reviewer's browser, so the document is never uploaded for OCR. Already run an OCR engine? Import its output in Google Vision format instead.

  • Entities and Relations on the PDF

    Tag names, dates, amounts and clauses directly on PDF pages, overlapping where needed, then link them with relations, such as a value to its observation or a party to its obligation.

  • A Verdict on Every Field

    Attach classification and transcription sub-jobs to each box, such as correct, not in document or unclear, so every extracted field leaves review with a value and a verdict.
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

Draw boxes, polygons and masks, with Meta's SAM drafting segmentations for your experts to refine.

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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.

Read case study →

Covea turns 1.5M customer comments into insight

How France's leading mutual insurer transformed 1.5 million unstructured customer comments into strategic business intelligence, deploying AI-powered analysis across 9+ projects and 60+ users to unlock deeper customer satisfaction insights.

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An AI research lab formalizes 2,500 math problems

How a leading AI research organization partnered with Kili Technology to formalize approximately 2,500 mathematical problems across AMC, AIME, and AMO difficulty levels, enabling breakthrough advances in automated theorem proving with contributions from 68 international researchers.

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.

February 17, 2026

Keys to Successful LLM-as-a-Judge and HITL Workflows

LLM-as-a-judge and HITL aren’t competing approaches — they’re complementary layers. This article covers the practical keys to making both work together reliably in enterprise AI systems.

Kili Technology
LLMs
January 20, 2026

The Complete Guide to OCR Data Labeling: Building Expert AI for Document Understanding

This guide will walk you through everything you need to know about OCR data labeling, from understanding the fundamentals to implementing quality workflows that scale across your organization.

Kili Technology
Data Labeling
March 12, 2024

Efficient Key Information Extraction for Document Processing [2024 Guide]

Even with the advancements in AI, information extraction remains fraught with challenges. In this article, we will tackle the challenges of information extraction and the possible solutions to overcome them.

Kili Technology
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 document formats does Kili support for OCR annotation?
How does Kili handle document layout annotation for OCR projects?
Can Kili review extractions from our own OCR engine, IDP model or LLM?
What quality assurance features does Kili offer for OCR annotation?
How does Kili ensure security for sensitive document processing?
How does Kili support collaboration on large-scale OCR projects?
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