
Build high-quality datasets, fast. Enterprises trust us to streamline their data labeling ops and build the best datasets for their custom models, generative AI, and LLMs ___ Why Kili Technology? You might not know this, but: MNIST’s dataset has an error rate of 3.4% and is still cited by more than 38,000 papers. The ImageNet dataset, with its crowdsourced labels, has an error rate of 6%. This dataset arguably underpins the most popular image recognition systems developed by Google and Facebook. Systemic error in these datasets has real-world consequences. Models trained on error-containing data are forced to learn those errors, leading to false predictions or a need of retraining on ever-increasing amounts of data to “wash out” the errors. Every industry has begun to understand the transformative potential of AI and invest. But the revolution of ML transformers and relentless focus on ML model optimization is reaching the point of diminishing returns. What else is there? ______ The Company Kili began as an idea in 2018. Edouard d’Archimbaud, our co-founder and CTO, was working at BNP Paribas, where he built one of the most advanced AI Labs in Europe from scratch. François-Xavier Leduc, our co-founder and CEO, knew how to take a powerful insight and build a company around it.While all the AI hype was on the models, they focused on helping people understand what was truly important: the data. Together, they founded Kili Technology to ensure data was no longer a barrier to good AI.By July 2020, the Kili Technology platform was live and by the end of the year, the first customers had renewed their contract, and the pipeline was full. In 2021, Kili Technology raised over $30M from Serena, Headline and Balderton. Today Kili Technology continues its journey to enable businesses around the world to build trustworthy AI with high-quality data.

Build high-quality datasets, fast. Enterprises trust us to streamline their data labeling ops and build the best datasets for their custom models, generative AI, and LLMs ___ Why Kili Technology? You might not know this, but: MNIST’s dataset has an error rate of 3.4% and is still cited by more than 38,000 papers. The ImageNet dataset, with its crowdsourced labels, has an error rate of 6%. This dataset arguably underpins the most popular image recognition systems developed by Google and Facebook. Systemic error in these datasets has real-world consequences. Models trained on error-containing data are forced to learn those errors, leading to false predictions or a need of retraining on ever-increasing amounts of data to “wash out” the errors. Every industry has begun to understand the transformative potential of AI and invest. But the revolution of ML transformers and relentless focus on ML model optimization is reaching the point of diminishing returns. What else is there? ______ The Company Kili began as an idea in 2018. Edouard d’Archimbaud, our co-founder and CTO, was working at BNP Paribas, where he built one of the most advanced AI Labs in Europe from scratch. François-Xavier Leduc, our co-founder and CEO, knew how to take a powerful insight and build a company around it.While all the AI hype was on the models, they focused on helping people understand what was truly important: the data. Together, they founded Kili Technology to ensure data was no longer a barrier to good AI.By July 2020, the Kili Technology platform was live and by the end of the year, the first customers had renewed their contract, and the pipeline was full. In 2021, Kili Technology raised over $30M from Serena, Headline and Balderton. Today Kili Technology continues its journey to enable businesses around the world to build trustworthy AI with high-quality data.
What: Enterprise platform for building high-quality annotated datasets to train, fine-tune, and evaluate AI/ML models
Origins: Idea in 2018; platform live by July 2020
Funding: Raised over $30M (Seed + $25M Series A; Series A led by Balderton Capital)
HQ: Paris, France
Security & Compliance: SOC 2 Type II, ISO 27001, HIPAA
| Company |
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Data labeling and dataset curation for AI/ML model training, fine-tuning, and evaluation.
Software Development
$7,000,000 (company statement) / €5,700,000 (Crunchbase view)
Company states a $7M seed closed end of 2020 with Serena and Headline. Crunchbase shows a seed entry dated Jan 26, 2021 with €5.7M.
$25,000,000 (company statement)
Company materials state a ~$25M Series A announced about six months after the seed; Crunchbase lists Balderton Capital as the Series A lead investor.
“Backed by European venture investors including Serena and Headline (seed) and Balderton Capital (Series A lead); other investors listed on investor profiles include Financiere Saint James and additional angel/VC participants.”
At Kili Technology, our mission is to empower businesses to transform unstructured data into high-quality data to dramatically accelerate the build of reliable AI.
In 2024, we embarked on a new adventure and built a brand-new product from scratch: DeepIP. DeepIP helps patent agents and attorneys streamline the process of drafting patent applications, leveraging the latest advances in AI—like foundation models—to accelerate the fundamental steps involved in building these applications. We have experienced tremendous growth and are looking for passionate, driven individuals to help us accelerate further and reach new heights.
We are a team of collaborative hustlers, ambitious learners, and ownership champions. If you're excited about a fast-paced, flexible environment where growth is celebrated and every day brings new possibilities, join us on this exciting journey.
Job Title: Fullstack Software Engineer
Location: Paris
Remote Status: Hybrid
Department: Engineering
Employment Type: Full-time
Kili is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status, or on the basis of disability.
Applying at Kili is also the opportunity to access a broader network. Should we not proceed with a job offer, we would be pleased to refer you to the Talent Club, created by Serena, which aims to offer talents great opportunities in innovative companies (Dataiku, Malt, Libeo…).