{"id":15176,"date":"2022-11-28T18:58:14","date_gmt":"2022-11-28T18:58:14","guid":{"rendered":"https:\/\/leyton.com\/us\/?post_type=news&p=15176"},"modified":"2024-09-18T11:25:46","modified_gmt":"2024-09-18T11:25:46","slug":"leyton-develops-new-technology-to-identify-businesses-eligible-for-rd-tax-credits","status":"publish","type":"news","link":"https:\/\/leyton.com\/us\/news\/leyton-develops-new-technology-to-identify-businesses-eligible-for-rd-tax-credits\/","title":{"rendered":"Leyton Develops New Technology to Identify Businesses Eligible for R&D Tax Credits"},"content":{"rendered":"\n

The Advanced Algorithm Perfected Over Two Years, Will Methodically Find Companies Left in the Dark<\/strong><\/em><\/h3>\n\n\n\n
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BOSTON<\/strong>–Global consultancy Leyton announced the launch of a new AI-powered<\/strong> algorithm that identifies thousands of businesses that may be eligible for the Research and Development (R&D) Tax Credit <\/strong>and not even know it. <\/p>\n\n\n\n

The R&D Tax Credit<\/a> is a federal benefit providing businesses with cash savings for qualifying activities relating to product development and improvement. Annually, billions of dollars allocated to R&D-related tax credits are left unclaimed. The algorithm<\/strong> behind Leyton\u2019s new system gives a probability of qualification across a broad number of sectors and industries, and a consultation to potential qualifying companies is complimentary.<\/p>\n\n\n\n

\u201cOur new AI-powered algorithm has allowed us to identify 250,000 companies who have a high probability of qualifying for R&D Tax Credits,\u201d<\/mark> said Olivier Rousselle, COO of Leyton Group.<\/strong><\/p>\n\n\n\n

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\u201cOur goal is to help companies become aware and take advantage of these underutilized incentives.\u201d<\/mark><\/p>\n<\/blockquote>\n\n\n\n

Leyton\u2019s algorithm<\/strong>, for which a patent is currently pending, works through various techniques, including machine learning<\/strong>, to flag businesses that have the potential of utilizing R&D tax credits. Using a sophisticated scoring model, any business deemed noteworthy is flagged to Leyton to offer assistance in leveraging the tax benefit. What once was a process that could take potentially months of research, can now be accomplished in days. This allows for businesses to re-invest<\/strong> this new found capital into initiatives such as hiring new employees and funding projects that support their growth.<\/p>\n\n\n\n

The credit dates back to 1981, when it first became available to taxpayers on a temporary basis. In 2015, when the PATH Act <\/strong>was put in place, the R&D credit became permanent and with it, revised qualifications that greatly expanded the eligibility for businesses to qualify. Many businesses are unaware that their daily operations could qualify for a dollar-for-dollar tax credit, irrespective of industry or company size. Additionally, most states offer an R&D credit that can supplement the federal R&D credit, and qualifying businesses can claim both.<\/p>\n\n\n

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\n Want to learn more? <\/h2>\n <\/div>\n \n Contact our experts \n arrow_outward<\/span>\n arrow_outward<\/span>\n <\/span>\n <\/a>\n <\/div>\n<\/div><\/section>","protected":false},"excerpt":{"rendered":"

Leyton announced the launch of a new AI-powered algorithm that identifies thousands of businesses that may be eligible for the Research and Development (R&D) Tax Credit<\/p>\n","protected":false},"featured_media":15178,"template":"","meta":{"_acf_changed":false},"categories":[43,16],"tags":[60,58,125],"class_list":["post-15176","news","type-news","status-publish","has-post-thumbnail","hentry","category-news","category-rd-tax-credit","tag-innovation","tag-rd-tax-credit","tag-technology"],"acf":[],"yoast_head":"\nTechnology to Identify Eligible Businesses for R&D Tax Credits | Leyton<\/title>\n<meta name=\"description\" content=\"A new technology that identifies thousands of businesses that may be eligible for the R&D Tax Credit and not even know\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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