Entity
Description
  • Value proposition

    Build high-quality datasets, fast.

    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.

    Entities recognition, nlp, and ner

  • Original language

    Build high-quality datasets, fast.

    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.

  • Kili Technology: Unique Data for Frontier AI

    A complete, custom, and comprehensive solution to eliminate the data bottleneck and provide large language models high-quality data and human feedback.

  • https://kili-technology.com/
Corporate interactions BETA
Corporate TypeTweets Articles
Scaleway Scaleway
Other

24 Oct 2024


Dia & Co
Dia & Co
Semiconductors, Retail Apparel and Fashion
Dia & Co
Semiconductors, Retail Apparel and Fashion
Other

4 Oct 2024


Salesforce
Salesforce
IT services, Internet
Salesforce
IT services, Internet
Other

13 Jun 2024


Hub France IA Hub France IA
Other

14 Mar 2023


Groupe Covéa
Groupe Covéa
Insurance
Groupe Covéa
Insurance
Other

18 Mar 2024


IBM
IBM
IT services, IT Services and IT Consulting
IBM
IT services, IT Services and IT Consulting
Other

16 Aug 2023


LCL
LCL
Bank, Banking
LCL
Bank, Banking
Other

18 Mar 2024


STATION F
STATION F
Startup accelerator & VC, Software Development
STATION F
Startup accelerator & VC, Software Development
Other

24 Oct 2024


ADEME
ADEME
National and local authorities, Environmental Services
ADEME
National and local authorities, Environmental Services
Other

11 Jun 2013


Région Ile de France
Région Ile de France
National and local authorities, Government Administration
Région Ile de France
National and local authorities, Government Administration
Other

11 Jun 2015


Similar entities
Loading...
Loading...
Social network dynamics