{"id":13053,"date":"2025-04-30T12:32:45","date_gmt":"2025-04-30T10:32:45","guid":{"rendered":"https:\/\/trialoog.taltech.ee\/ai-piilub-kapoti-alla\/"},"modified":"2025-05-01T10:48:09","modified_gmt":"2025-05-01T08:48:09","slug":"ai-piilub-kapoti-alla","status":"publish","type":"post","link":"https:\/\/trialoog.taltech.ee\/en\/ai-piilub-kapoti-alla\/","title":{"rendered":"AI peeks under the hood"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"<p>The Estonian startup KindelAI, co-founded by TalTech alumnus Andrei Aksjonov, believes the era of mechanics fumbling in the dark under the hood is coming to an end. KindelAI is developing a car diagnostics solution where decisions are no longer based on gut feeling but on data-driven artificial intelligence.<\/p>\n","protected":false},"author":8,"featured_media":13116,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[250],"tags":[593,391,497,400,425,399,430,475,599,567],"class_list":["post-13053","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business","tag-alumni","tag-artificial-intelligence","tag-engineering","tag-industrial-doctorate","tag-inseneeria-en","tag-scientific-collaboration","tag-tehisintellekt-en","tag-tehnopol-en","tag-toostusdoktorantuur-en","tag-vilistlane-en"],"acf":{"postbuilder":[{"acf_fc_layout":"text","type":"text","text":"<a href=\"https:\/\/www.kindel.ai\/signin\" target=\"_blank\" rel=\"noopener\">KindelAI<\/a> is currently participating in the <a href=\"https:\/\/www.startupincubator.ee\/en\/\" target=\"_blank\" rel=\"noopener\">Tehnopol Startup Incubator accelerator<\/a> and the <a href=\"https:\/\/www.zebrascaleup.eu\/\" target=\"_blank\" rel=\"noopener\">Zebra ScaleUp program<\/a>. The aim is to develop and scale a smart AI assistant that helps the mechanics of the future quickly and accurately get to the root of the problem.\r\n<h4 data-start=\"156\" data-end=\"192\"><strong data-start=\"156\" data-end=\"192\">When knowledge becomes a product<\/strong><\/h4>\r\n<p class=\"\" data-start=\"194\" data-end=\"543\"><a href=\"https:\/\/www.etis.ee\/CV\/Andrei_Aksjonov\" target=\"_blank\" rel=\"noopener\">Aksjonov<\/a> is one of those researchers who decided to take the results of his scientific work beyond the world of academic publications and turn them into something applicable in real life. As a TalTech alumnus, he completed an industrial PhD, focusing on how artificial intelligence could improve human\u2013machine interaction in the automotive industry.<\/p>\r\n<p class=\"\" data-start=\"545\" data-end=\"963\">Although KindelAI wasn't founded directly on the basis of his doctoral thesis, the company was designed to work within the same field and with the same technologies. Aksjonov admits that the desire to turn his expertise into something tangible emerged even before he defended his degree. In his view, research doesn't need to be carried out in isolation\u2013it should help solve real-world problems with real-world impact.<\/p>\r\n<p class=\"\" data-start=\"965\" data-end=\"1272\">He believes Estonia has a strong academic foundation, but the applied mindset still has room to grow. \u201cAn industrial PhD is a great way to give knowledge a pair of legs, so to speak. You're not just working for academic recognition\u2013you\u2019re also solving concrete problems for a company or an entire industry.\u201d<\/p>\r\n\r\n<blockquote>\r\n<p style=\"text-align: center;\" data-start=\"965\" data-end=\"1272\">\"An industrial PhD is a great way to give knowledge a pair of legs, so to speak. You're not just working for academic recognition\u2013you\u2019re also solving concrete problems for a company or an entire industry.\u201d<\/p>\r\n<\/blockquote>\r\n<p class=\"\" data-start=\"1274\" data-end=\"1677\">The idea for KindelAI started to gain traction when Aksjonov met Indrek Reimann\u2013a mechanic with over a decade of experience managing car repair shops, who later became the company\u2019s co-founder. Reimann\u2019s experience brought a key industry pain point into focus: diagnostic processes are time-consuming, depend heavily on the mechanic\u2019s individual experience, and often lack precision and systematization.<\/p>\r\n<p class=\"\" data-start=\"1679\" data-end=\"1994\">The two began to develop the idea of a tool that would help mechanics make faster and more accurate decisions. KindelAI is the result\u2013a company where practical workshop experience meets a science-based approach, offering a solution that can detect vehicle faults up to 200 times faster than traditional diagnostics.<\/p>","image":null,"align":""},{"acf_fc_layout":"image","image":13006},{"acf_fc_layout":"text","type":"text","text":"<h4 data-start=\"89\" data-end=\"109\"><strong data-start=\"89\" data-end=\"109\">Why not Estonia?<\/strong><\/h4>\r\n<p class=\"\" data-start=\"111\" data-end=\"564\">While KindelAI was founded in Estonia, its primary target market is the United States. The Estonian auto repair market is fragmented and oversaturated\u2013there are many garages, but often too little work. As a result, local companies feel less pressure to automate their processes. In the U.S., the situation is the opposite: workloads are high, mechanics are in short supply, and every minute saved counts. That\u2019s where KindelAI\u2019s solution is needed most.<\/p>\r\n<p class=\"\" data-start=\"566\" data-end=\"750\">But beyond workload, mindset plays an even more critical role. The European market tends to adopt new technologies more slowly, preferring thoroughly tested and standardized solutions.<\/p>\r\n<p class=\"\" data-start=\"752\" data-end=\"1185\">In the U.S., there\u2019s much more openness\u2013partially developed solutions are valued, as long as they offer practical benefits. This kind of flexibility has enabled many rapid AI success stories. \u201cIn the U.S., there\u2019s a very positive attitude toward artificial intelligence. They don\u2019t wait for perfection\u2013they look for practical value. If they see that AI helps, they\u2019ll adopt it\u2013even if it\u2019s not 100% accurate yet,\u201d Aksjonov explained.<\/p>\r\n\r\n<blockquote>\r\n<p style=\"text-align: center;\" data-start=\"752\" data-end=\"1185\">\u201cIn the U.S., there\u2019s a very positive attitude toward artificial intelligence. They don\u2019t wait for perfection\u2013they look for practical value. If they see that AI helps, they\u2019ll adopt it\u2013even if it\u2019s not 100% accurate yet.\"<\/p>\r\n<\/blockquote>\r\n<p class=\"\" data-start=\"1187\" data-end=\"1444\">Although AI-driven startups often generate strong interest among investors, funding is far from guaranteed. KindelAI has already engaged with a number of potential investors\u2013some reached out to the company directly, while others were approached by the team.<\/p>\r\n<p class=\"\" data-start=\"1446\" data-end=\"1799\">Expectations vary widely. Investors who already have generative AI companies in their portfolios tend to understand the complexity of the field and see the potential. Others, more familiar with traditional SaaS models, may feel less comfortable in the AI space. \u201cInvestor interest depends heavily on their previous experience and focus,\u201d Aksjonov noted.<\/p>\r\n<p class=\"\" data-start=\"1801\" data-end=\"2438\">KindelAI is not building its solution on existing platforms or toolkits. Instead, the team is developing the system entirely in-house\u2013from the ground up. This means they don\u2019t rely on external APIs that \u201cborrow\u201d ready-made capabilities from major AI providers like OpenAI or Google, but rather build their own logic and functionality. This approach allows greater control and flexibility, but it also demands significantly more resources\u2013including powerful computing infrastructure and skilled developers. That\u2019s why KindelAI has launched a funding round to raise \u20ac1.2 million, aiming to grow the team and accelerate product development.<\/p>","image":null,"align":""},{"acf_fc_layout":"image","image":13008},{"acf_fc_layout":"text","type":"text","text":"<h4 data-start=\"114\" data-end=\"141\"><strong data-start=\"114\" data-end=\"141\">A car that talks to you<\/strong><\/h4>\r\n<p class=\"\" data-start=\"143\" data-end=\"525\">KindelAI is currently testing its prototype with customers in the United States, the United Kingdom, Finland, and Estonia. At this stage, the users are mechanics\u2013specialists who need to identify faults quickly and accurately. But the company\u2019s long-term vision goes beyond the workshop: in the future, the AI will move into the car itself, with the end user being the vehicle owner.<\/p>\r\n<p class=\"\" data-start=\"527\" data-end=\"738\">In this vision, the AI model is not just a one-time diagnostic tool but a continuous companion that learns the vehicle\u2019s behavior over time\u2013monitoring patterns, collecting data, and detecting anomalies early on.<\/p>\r\n<p class=\"\" data-start=\"740\" data-end=\"1220\">Instead of simply answering the question \u201cwhat\u2019s wrong?\u201d, the AI will offer preventive advice. For example, it might recommend replacing a sensor when wear patterns suggest an issue is beginning to emerge. If the driver acts early, the cost might be just \u20ac100. But if they wait until a full system failure occurs, the repair bill could multiply. \u201cWe want every car to have a smart co-driver\u2013someone who listens, observes, and warns before anything actually breaks,\u201d said Aksjonov.<\/p>\r\n\r\n<blockquote>\r\n<p class=\"\" style=\"text-align: center;\" data-start=\"1222\" data-end=\"1345\">\u201cWe want every car to have a smart co-driver\u2013someone who listens, observes, and warns before anything actually breaks.\u201d<\/p>\r\n<\/blockquote>\r\n<p class=\"\" data-start=\"1347\" data-end=\"1447\">In essence, KindelAI makes visible the part of the car that has long been a black box to the driver.<\/p>\r\n<p class=\"\" data-start=\"1449\" data-end=\"1712\">What\u2019s more, the same technology can be applied far beyond the automotive world. \u201cCars, ships, airplanes, tractors\u2013they all follow the same laws of physics. Our solution isn\u2019t limited to one machine\u2013it can be adapted to the entire industrial machinery ecosystem.\u201d<\/p>","image":null,"align":""}],"related_authors":[{"author":7990,"position":"Trialoog editor"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.4 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AI peeks under the hood - Trialoog<\/title>\n<meta name=\"description\" content=\"KindelAI is developing a car diagnostics solution where decisions are based on data driven AI not a gut feeling.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/trialoog.taltech.ee\/en\/ai-piilub-kapoti-alla\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI peeks under the hood - Trialoog\" \/>\n<meta property=\"og:description\" content=\"KindelAI is developing a car diagnostics solution where decisions are based on data driven AI not a gut feeling.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/trialoog.taltech.ee\/en\/ai-piilub-kapoti-alla\/\" \/>\n<meta property=\"og:site_name\" content=\"Trialoog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/profile.php?id=61555592234506\" \/>\n<meta property=\"article:published_time\" content=\"2025-04-30T10:32:45+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-05-01T08:48:09+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/trialoog.taltech.ee\/wp-content\/uploads\/2025\/04\/WhatsApp-Image-2025-04-29-at-15.24.38-1.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"2048\" \/>\n\t<meta property=\"og:image:height\" content=\"1152\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Eveliis Vaaks\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Eveliis Vaaks\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/trialoog.taltech.ee\\\/en\\\/ai-piilub-kapoti-alla\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/trialoog.taltech.ee\\\/en\\\/ai-piilub-kapoti-alla\\\/\"},\"author\":{\"name\":\"Eveliis Vaaks\",\"@id\":\"https:\\\/\\\/trialoog.taltech.ee\\\/en\\\/#\\\/schema\\\/person\\\/298421563bc6fa08635ee92967fbee05\"},\"headline\":\"AI peeks under the hood\",\"datePublished\":\"2025-04-30T10:32:45+00:00\",\"dateModified\":\"2025-05-01T08:48:09+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/trialoog.taltech.ee\\\/en\\\/ai-piilub-kapoti-alla\\\/\"},\"wordCount\":5,\"publisher\":{\"@id\":\"https:\\\/\\\/trialoog.taltech.ee\\\/en\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/trialoog.taltech.ee\\\/en\\\/ai-piilub-kapoti-alla\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/trialoog.taltech.ee\\\/wp-content\\\/uploads\\\/2025\\\/04\\\/WhatsApp-Image-2025-04-29-at-15.24.38-1.jpeg\",\"keywords\":[\"alumni\",\"Artificial Intelligence\",\"engineering\",\"industrial doctorate\",\"inseneeria\",\"scientific collaboration\",\"tehisintellekt\",\"tehnopol\",\"t\u00f6\u00f6stusdoktorantuur\",\"vilistlane\"],\"articleSection\":[\"Business\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/trialoog.taltech.ee\\\/en\\\/ai-piilub-kapoti-alla\\\/\",\"url\":\"https:\\\/\\\/trialoog.taltech.ee\\\/en\\\/ai-piilub-kapoti-alla\\\/\",\"name\":\"AI peeks under the hood - 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