Kili Technology
Paris-based labeling and AI evaluation platform that puts domain experts in the review loop and can run on your own Kubernetes cluster
Quick Overview
| Company | MYAI SAS (Kili Technology) |
|---|---|
| Category | Data Labeling Platforms |
| Headquarters | Paris, France |
| Founded | Not stated |
| EU Presence | Yes - France (EU) |
| Data Location | Vendor cloud, your own storage bucket, or your own Kubernetes cluster |
| Open Source | No |
| GDPR Compliant | Yes |
| Self-Hosting | Yes, on your own Kubernetes (Enterprise add-on) |
| Main Features | Image, video, NLP and LLM, OCR and document, geospatial and audio labeling, AI evaluation, post-training data, review workflows, SSO, Python SDK and API |
| Pricing | Free trial (2 to 5 seats, 100 text or image assets); Grow and Enterprise plans on request |
| Best For | Teams whose labels depend on specialist knowledge and need an audit trail |
| Replaces | Scale AI, Labelbox |
Detailed Review
Kili Technology sells a labeling and evaluation platform for work where a generalist annotator gets the answer wrong: clinical images, imagery analysis, document layouts, model answers that look plausible. The vendor positions the reviewers as your own experts, with an agreement score measured before data is exported.
The legal notice names MYAI SAS, registered at the Paris trade register under 843 210 014, as the publisher of kili-technology.com, and the privacy policy names Kili Technology as the data controller with a Paris address.
Review built into the labeling flow
Kili describes quality as something constructed while the work happens: the reviewer sees enough context to correct an item at the step that produced it, and every version of a judgment is kept together with who made it.
That record is aimed at teams that must show how a dataset or an evaluation verdict was produced, for example under the EU AI Act, which the vendor mentions on its site.
Three ways to deploy
The deployment page lists Kili cloud, Kili cloud with files kept in your own storage, and an install on your own Kubernetes cluster that needs no internet or root access after installation. Each project is an isolated unit with its own assets, team and permissions.
The pricing page marks on-premise deployment as an Enterprise-only add-on.
Data types and plans
The platform handles video, image, NLP and LLM text, OCR and document layout, geospatial imagery and audio. Plans are a free trial, a Grow subscription for up to 20 seats and 50,000 assets, and an Enterprise contract with SSO and custom terms.
Dedicated labeling services from Kili staff are an add-on, so a team can start with its own annotators and buy extra capacity later.
Limitations to Consider
Kili Technology publishes no prices beyond the free trial, so budgeting needs a sales conversation. The vendor page does not say in which region its own cloud is hosted, and self-hosting is an Enterprise-only add-on. The trial is capped at 100 text or image assets and 5 video assets. For a tool you script yourself on your own laptop, Prodigy is simpler, and for a published price list see Supervisely.
Who Should Use Kili Technology
AI teams in regulated or specialist domains that want expert reviewers, a traceable label history and the option to keep everything on their own cluster.
Pros and Cons
Pros
- French contracting entity (MYAI SAS, Paris)
- Runs on your own Kubernetes without internet access
- Covers image, video, text, audio, OCR and geospatial data
- Review and agreement scoring before export
- Isolated projects with separate permissions
Cons
- No public price list
- Self-hosting only on Enterprise
- Region of the vendor cloud not stated on the pages checked
- Trial limited to 100 text or image assets
Alternatives to Kili Technology
Other European data labeling platforms worth comparing before you decide:
Kognic
Sweden · Annotation platform and workforce for autonomous driving data
Prodigy
Germany · Scriptable self-hosted annotation tool from the spaCy makers
Supervisely
Estonia · Labeling, data management and model training in one platform
Picsellia
France · Computer vision MLOps platform with built-in annotation
See all European data labeling platforms or compare them directly against Scale AI on our alternatives page.
Frequently Asked Questions
Yes. The legal notice names MYAI SAS, a simplified joint-stock company registered in Paris, as the publisher of kili-technology.com.
Yes. The deployment page describes an install on your own Kubernetes cluster that needs no internet or root access after installation, and the pricing page lists it as an Enterprise-only add-on.
Only the free trial is described in detail: 2 to 5 seats, 100 text or image assets and 5 video assets. Grow and Enterprise are custom subscriptions.