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 its ability to net quality enterprise custom across a breadth of markets using disparate data types. Plus, it has cemented Kili a strong reputation from which it can springboard its 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. Its 2024-launched Patent AI Co-pilot may go some way to differentiating it in the market, helping attorneys draft better patents and halving response time for office actions.
Steph
Company Specialist at Welcome to the Jungle