Training data platform for enterprise AI
Job no longer available
Training data platform for enterprise AI
21-100 employees
Job no longer available
21-100 employees
To help enterprise customers turn raw data into training data so that they can scale AI applications on their internal challenges to solve their issues.
Desirable
According to digital business research, artificial intelligence is one of the primary areas of exploration for businesses looking to take advantage of growing tech developments. However, as Kili rightly emphasise, the efficacy and reliability of AI depends largely on the quality of data used to train it. Good data requires good labelling and the ability to store it for future use, and Kili is hoping to furnish enterprise businesses with precisely that.
The data labelling market is fiercely competitive, but the relatively young Kili has made impressive strides in their native France already. A roster of high profile clients including BNP Paribas, Safran, and Louis Vuitton demonstrates their ability to net quality enterprise custom across a breadth of markets using disparate data types. Plus, it has cemented them a strong reputation from which they can springboard in their planned expansion to the US market.
Here is where things may get tricky. The United States takes 40% of the global AI market, and has attracted a correspondingly strong crowd of competing startups and enterprise businesses. Kili will benefit from a reputable track record, but will have to play fierce to get ahead in the market.
Steph
Company Specialist
-16% employee growth in 12 months
Jul 2021
$25m
SERIES A
Jan 2021
$6.4m
EARLY VC
Saint-Philippe-du-Roule, Paris, France
Founders
Previously co-founded the car-as-a-service company Tripndrive, then went on to freelance for The Boston Consulting Group.
Edouard d'Archimbaud
(CTO)Previously a Managing Partner at Creative Research Ltd., who then worked as a Data Scientist at Capgemini Consulting, and moved on to become Head of the Data and AI Lab at BNP Paribas.
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