
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 |
|---|
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.”
Engineering
Solution Engineer
SOLUTION ENGINEER 🚀 About Kili Technology 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.
Kili Technology is a , fast-growing company at the forefront of . Backed by strong financials and cash flow control, we serve leading organizations across the globe — including major players in the defense (both in the US and Europe).
Our platform stands out with a unique focus on security , collaboration , and the curation of complex geospatial datasets. Join us to help deliver cutting-edge AI solutions that matter.
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.
As we continuously look for new opportunities, we are looking for passionate, driven individuals to join us in Paris.
✨ Your Role As a Solution Engineer, you will foster high-level relationships with our customers, understanding their unique needs and driving the successful implementation and management of our data labeling platform.
You will also actively contribute to building the next step of our product line, with deep exploration of core business operations of our customers and creativity to leverage machine learning and generative AI integrations.
This role demands a blend of technical acumen, project management expertise, and a customer-first mindset.
🔥 Your Missions Solution (pre-sales and post-sales)
Project management
💎 Desired Profile
🎁 What We Offer
🔗 Recruitment Process
✨ If you want to evolve in a company at the forefront of AI , where every action counts, where successes are celebrated, and where learning is constant , then you are in the right place. Join us, and let's write the next chapter together. ✨ Department Engineering Locations Paris Remote status Hybrid
Paris
Our HQ is based in Paris!
Our office is in Central Paris - in the 12th arrondissement.
Our team is currently composed of 30+ amazing talent from all of over the world.
We have a remote friendly policy, 30% of our employees are fully remote, and they love it :)
About Kili Technology Kili began as an idea sometime in late 2018. Edouard was working at BNP Paribas, where he'd built one of the most advanced AI Labs in Europe from scratch. François-Xavier knew how to take a powerful insight and build a company around it.
While all the AI hype was on the models, they focussed on helping people understand what was truly important: the data. Together, they founded Kili to make sure data was no longer a barrier to good AI.
By July 2020, the Kili platform was live and by the end of the year, the first customers had renewed, and the pipeline was full. They knew they were on to something and it had to grow fast. They raised over $30M from Serena, Headline and Balderton, some of the best VCs worldwide. Today Kili is in a league of its own, giving businesses around the world to build AI with trustworthy data inside. At Kili we know that you can’t build high if you don’t build deep from the beginning. This is the primary requirement to create a smarter world through better AI.
Founded in 2018
Co-workers 40
Engineering
Solution Engineer
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