{"id":57055,"date":"2023-03-29T09:23:15","date_gmt":"2023-03-29T07:23:15","guid":{"rendered":"https:\/\/www.iemn.fr\/articles-temporaires-anglais\/wavely-laureat-de-laide-au-developpement-de-deeptech-add-de-bpi-france-2.html"},"modified":"2023-03-31T11:35:26","modified_gmt":"2023-03-31T09:35:26","slug":"wavely-laureat-de-laide-au-developpement-de-deeptech-add-de-bpi-france-2","status":"publish","type":"post","link":"https:\/\/www.iemn.fr\/en\/newsletter\/wavely-laureat-de-laide-au-developpement-de-deeptech-add-de-bpi-france-2.html","title":{"rendered":"WAVELY wins the BPI France deeptech development grant (ADD)"},"content":{"rendered":"<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-k6e21l-582e67697dc2f85ffa72b21df106d473\">\n.flex_column.av-k6e21l-582e67697dc2f85ffa72b21df106d473{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-k6e21l-582e67697dc2f85ffa72b21df106d473 av_one_full  avia-builder-el-0  avia-builder-el-no-sibling  first flex_column_div av-zero-column-padding'     ><section  class='av_textblock_section av-lftczko2-5c4b1e25fb4fc86009c1d911e3ae630b'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><h2>WAVELY wins the BPI France deeptech development grant (ADD)<\/h2>\n<p><strong><span style=\"color: #0b8a81;\">Wavely is a start-up that aims to accelerate and automate sound source recognition solutions for all its customers&rsquo; use cases. It is a BPI France Deeptech Development Grant (ADD) winner.<\/span><\/strong><\/p>\n<p>The Deeptech plan, created in 2019 by BPI France, consists of supporting the growth of start-ups with disruptive innovation projects linked to academic research and strengthening their competitiveness. Winning companies receive support for the development of solutions with concrete prospects for industrialization and marketing.<\/p>\n<p>Wavely has so far developed around collaborations with major accounts (TotalEnergies, Bouygues Constructions, EDF) which have resulted in real-time sound event recognition solutions such as gas leak detection. These projects have been carried out over relatively long periods of time, with each time a real problem around the constitution of an annotated database to allow the training of machine learning models. Wavely wants to continue its technical developments to offer its customers a fully automated software suite for building annotated databases and training machine learning models.<\/p>\n<p>The objective of the 3-year Deep Tech program is to validate an approach that combines unsupervised and supervised learning with the development of several software tools to increase the speed of development of robust models for sound source and anomaly recognition. <strong><span style=\"color: #0b8a81;\">This will allow Wavely to apply its technologies to the monitoring of a much larger set of sound sources, and thus address all customer issues where the acoustic modality can be used.<\/span><\/strong><\/p>\n<p><a href=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2023\/03\/wavely.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-57050\" src=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2023\/03\/wavely.jpg\" alt=\"\" width=\"600\" height=\"449\" srcset=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2023\/03\/wavely.jpg 908w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2023\/03\/wavely-300x225.jpg 300w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2023\/03\/wavely-768x575.jpg 768w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2023\/03\/wavely-16x12.jpg 16w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2023\/03\/wavely-705x528.jpg 705w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/0o54w.mjt.lu\/nl3\/YLc7SoKrj6K8S4l7bHp7oA?m=AMwAAMz3AVwAAAAAnUwAAAX9hZcAAAAAeVgAAHalAB1rpABixYuA2PGQeYPNT02ZlAQF-vw-PAAb_7Y&amp;b=af7eb2f7&amp;e=4684fd9b&amp;x=45FRIwWiRi9eCPf2xnnX-UyYIdVE-khg5KAtLj81g18\" target=\"_blank\" rel=\"noopener\">\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-wzsvks-2a4e30804f9db3ceeeeb0ecf79e8d718\">\n.av_font_icon.av-wzsvks-2a4e30804f9db3ceeeeb0ecf79e8d718{\ncolor:#7bb0e7;\nborder-color:#7bb0e7;\n}\n.av_font_icon.av-wzsvks-2a4e30804f9db3ceeeeb0ecf79e8d718 .av-icon-char{\nfont-size:25px;\nline-height:25px;\n}\n<\/style>\n<span  class='av_font_icon av-wzsvks-2a4e30804f9db3ceeeeb0ecf79e8d718 avia_animate_when_visible av-icon-style- avia-icon-pos-left avia-icon-animate'><span class='av-icon-char' aria-hidden='true' data-av_icon='\ue826' data-av_iconfont='entypo-fontello' ><\/span><\/span> Read more<\/a><\/p>\n<\/div><\/section><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":20,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[297],"tags":[],"class_list":["post-57055","post","type-post","status-publish","format-standard","hentry","category-newsletter"],"_links":{"self":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/57055","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/comments?post=57055"}],"version-history":[{"count":0,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/57055\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/media?parent=57055"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/categories?post=57055"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/tags?post=57055"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}