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From Documents to Business Impact: The problem we address is how to analyse large volumes of documents to extract the information necessary for decision making in technical, scientific, military but also commercial, legal, administrative or accounting matters. This problem is faced by all "Analysts", including (1) Researchers in all fields, who analyse scientific information, patents, conferences every day to find development lines or solutions to industrial problems. (2) Customer relations analysts who use call centre recordings or e-mails sent directly by customers or verbatims from opinion surveys. (3) Auditors who check the accuracy of a company's or organisation's accounts and whose work leads them to analyse all kinds of contracts (sales contracts, employment contracts, commercial leases, etc.). (4) Some lawyers, because they have to consult numerous legal or regulatory texts or case law. This is also the case for lawyers responsible for ensuring that their company complies with all laws and regulations. (5) Specialists in certain fields related to the defence and protection of property and persons or to justice. We have developed a platform that makes this task fast, accurate, fun and accessible to everyone. - Fast because we have implemented different technologies to significantly bootstrap and accelerate the creation of training datasets and AI models. - Accurate because we use state-of-the-art neural networks and provide the user with numerous tools, including dataset search, filtering and analysis tools, to evaluate, correct and measure the quality of datasets and AI models. - Fun because the platform allows for stimulating real-time interaction between the user and the machine through an intuitive and easy-to-use graphical interface. - Accessible to all because it does not require computer or language skills and anyone can use the platform without having to write a line of code.

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Hugo Lafayette is the Co-Founder of Kairntech.

8 people are employed at Kairntech.

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