Vendor profile · Directory · Platform
Kili Technology
A Paris-built enterprise platform for annotation and LLM evaluation, sold to regulated industries that need data quality controls more than raw labeling volume.
| Model | Enterprise annotation & evaluation platform |
|---|---|
| Founded | 2018 |
| Headquarters | Paris, France |
| Pricing | Not published — enterprise subscriptions, sales-led |
| Website | kili-technology.com |
What Kili Technology does
Kili Technology was founded in Paris in 2018 by François-Xavier Leduc and Édouard d’Archimbaud, who had built BNP Paribas’s AI lab. Its platform covers image, video, text, PDF and geospatial annotation with configurable ontologies, AI-assisted pre-labeling and programmatic quality controls.
The company has repositioned toward LLM evaluation and expert data for generative AI. It raised a $25M Series A led by Balderton Capital in 2021 and names enterprise customers including SAP, Airbus, Michelin and Crédit Agricole.
Strengths
- Deep enterprise footprint in European banking, healthcare, luxury and defence
- Quality-control and programmatic QA tooling is the core of the product
- SOC 2 Type II, ISO 27001 and HIPAA-aligned posture reported
Considerations
- No published pricing — budget discovery starts with a sales call
- Smaller company (~45 staff reported) than the US platform majors
- Best-known in Europe; thinner US enterprise references
Other platforms in the directory
- Labelbox — The platform pick: run annotation in-house on published usage pricing, and bolt on expert services (Alignerr) only where you need them.
- Prolific — The transparency benchmark: a self-serve participant platform with fully published pricing and an enforced participant pay floor.
- SuperAnnotate — A multimodal annotation platform that has grown an expert-services arm (SME) hiring domain specialists for AI training and evaluation work.
- Encord — A data infrastructure platform — Annotate, Index, Active — built for physical AI: robotics, autonomous vehicles and sensor-heavy multimodal data.
- CVAT — The open-source annotation workhorse: born at Intel, now run by CVAT.ai as a free self-hosted Community edition plus paid cloud and enterprise tiers with published prices.
- Label Studio (HumanSignal) — The most popular open-source labeling tool — multimodal by design — with HumanSignal selling cloud and enterprise editions and optional expert data services.
- Lightly AI — An ETH Zurich spin-off built on one idea: label less, but label the right data — curation and self-supervised pretraining first, annotation second.
- BasicAI — A platform-and-services company built around multi-sensor data — LiDAR fusion annotation for automotive and robotics is its home ground.
- V7 — The London platform company behind Darwin — AI-assisted visual annotation with a low-cost self-serve entry — now also selling document-workflow agents as V7 Go.
- Dataloop — An Israeli data-pipeline and annotation platform with a strong autonomous-vehicle story — acquired by Dell Technologies in December 2025.
Frequently asked questions
What does Kili Technology do?
A Paris-built enterprise platform for annotation and LLM evaluation, sold to regulated industries that need data quality controls more than raw labeling volume.
How much does Kili Technology cost?
Kili Technology does not publish pricing (not published — enterprise subscriptions, sales-led). Any figure quoted by third parties is an estimate; budget discovery requires engaging the vendor directly.
Who is Kili Technology best for?
European and regulated-industry enterprises that want annotation and evaluation under their own roof, with strong QA workflow controls.
Who should not use Kili Technology?
Buyers who need a vendor to supply the annotators — Kili sells the platform and expertise layer, not a labeling workforce.
Sources
- Kili unveils annotation platform, raises $7M — VentureBeat (2020)
- Kili raises $25M Series A led by Balderton — BigDATAwire (2021)
Facts on this page were drawn from the public sources above, checked November 2026. If you spot an error, tell us at the corrections address in the footer — we fix sourced errors and note the change.
Profile last updated: November 8, 2026 · How we write profiles · Corrections: [email protected]