Kili Technology

101 - 250 employees
51 - 100 engineers
$50m - $100m funding
Pre-series a

Today's challenge to train machine learning models is not to get the data itself - but to get the clean labelled data - to avoid having a garbage in garbage out loop. While current evolution in AI is powered by machine learning models, this process of data annotation becomes critical. Moreover, even more challenging is getting the know-how to get the most efficient, most flexible, and most cost-effective way to label these data to scale up the projects.

Kili Technology serves as the solution to facilitate data annotation for image, video and text for various Computer Vision and NLP tasks with a robust tool to manage data quality and simplify collaboration. We build the simplest and the most versatile labelling tool in the market to create high quality machine learning training datasets for Fortune 500 companies and also SMEs (Bureau Veritas, Carrefour, Crédit Agricole, EDF, Société Générale, VitadX, ...) and to scale up their AI models into production.

Why join us?

  • Already profitable

  • The market is booming as it moved from 2 competitors 2 years ago to more than 30 today

  • We are recognized by clients as one of the best multi-modal annotation platform worldwide

  • Our team previously lead the AI Team of BNP Paribas and created startups

Engineering at Kili Technology

Engineering team and processes

Our engineering team operates on one week cycles. Each cycle begins with a meeting to discuss time estimates for features, and ends with a demo meeting where each engineer can show off the work they've completed. Engineers typically work with a designer and any other interested parties to spec a feature, then work on the feature individually. We use Pull Requests on Gitlab to conduct code reviews. All engineers are also empowered to push code to production, which we often do multiple times a day.

Technical Challenges

We're building a data annotation tool that needs to scale to hundred of million of assets.

Projects you might work on
  • You would get to work on making Kili available on brew.

  • You would be building a data exploration / pre-annotation tool completely from scratch.

  • You would deploy few shots machine learning model to accelerate the annotation.

Tech stack

Working at Kili Technology

We value a scrappy, resourceful attitude towards work. We love it when people go out of their way to make our product better.

Perks & benefits
  • Health Insurance
  • Flexible Hours
  • Team Activities
  • Work from Home
Our Team by the Numbers

External Links

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