Mark Anderson
<p>The UK tech landscape has grown incredibly in the last few years, with startups in all sectors creating innovative technologies and pushing boundaries in the market. One such field where this is evident is the Computer Vision industry. New companies have been established with a focus on using advanced technologies to process and interpret visual data from the real world, aiming to service a myriad of industries from healthcare to transportation. In this article, we highlight some exciting and promising startups, founded in 2020 or later, that are making their mark in the Computer Vision sector. These companies are headquartered in England, highlighting the country’s place as a technological hub.<strong></strong></p>
<h3><a href=”https://encord.com”>Encord</a></h3>
<p>Founders Eric Landau, Leeho Lim, and Ulrik Stig Hansen established Encord in the Artificial Intelligence, Computer Vision, Machine Learning, and Software industry. This London-based startup offers an AI-assisted platform for collaborative data annotation, error fixing in datasets, model error diagnosis, and the decision-control of learning pipelines. Their innovative technology provides a comprehensive solution for managing machine learning datasets. <a href=”https://www.linkedin.com/company/encord-team”>Find them on Linkedin</a>.</p>
<h3><a href=”https://www.meta-lynx.com”>Metalynx</a></h3>
<p>Founded by Kanwal Bhatia, Metalynx is another London-based startup operating in the AI, Computer Vision, Machine Learning, and Software industry. They empower data owners and domain experts with the tools to build their own computer vision applications. With a focus on low-code/no-code solutions, they’re making computer vision application development a feasible task for non-technical professionals.</p>
<h3><a href=”https://www.verchable.com/”>Verchable</a></h3>
<p>Founded by Abhi Arora and Deniz Cicek Elitez, Verchable is a startup leveraging AI and Computer Vision technology to innovate within the video industry. They’re based in London, England too, and you can <a href=”https://www.facebook.com/verchable/”>find them on Facebook</a> and <a href=”https://www.linkedin.com/company/verchable/”>on Linkedin</a>.</p>
<h3><a href=”https://www.satis.ai”>SATIS.AI</a></h3>
<p>SATIS.AI, founded by Mohammad Khodadadi, operates at the intersection of AI, Computer Vision, and Machine Learning, targeting the food and beverage industry. With their smart technology, they aim to improve autonomous decisions, therefore reducing errors in restaurant kitchens. Their system offers a solution to a $3.4 billion market of refunded orders in the EU and USA. <a href=”https://www.linkedin.com/company/satisai”>Find them on Linkedin</a>.</p>
<h3><a href=”https://neuronav.ai”>NeuroNav</a></h3>
<p>Founded by Ali Rezaei Haddad, NeuroNav is a startup using AI and AR technology to improve surgical performance. They enlist computer vision technology and data visualization in their products to offer better visuals during medical procedures. You can <a href=”https://www.linkedin.com/company/73188665″>get in touch with them on Linkedin</a>.</p>
<h3><a href=”https://grayscale.ai”>Grayscale AI</a></h3>
<p>Grayscale AI leverages next-generation computer vision and neuromorphic AI to increase efficiency, lower costs, and promote sustainability in multiple industries. Founded by Dragos Stanciu and based in London, they apply their technology to the aerospace, transport, and logistics fields. <a href=”https://www.linkedin.com/company/grayscaleAI”>Find them on Linkedin</a>.</p>
<h3><a href=”https://envsion.io”>EnVsion</a></h3>
<p>EnVsion, co-founded by Eddie Forson and Stathis Eleftheriadis, provides a comprehensive platform to help businesses enhance their video workflows and performance. Located in London, their end-to-end solution promises to increase productivity up to 10 fold. They can be <a href=”https://www.linkedin.com/company/goenvsion/”>found on Linkedin</a> and at <a href=”https://twitter.com/goEnVsion”>@goEnVsion on Twitter</a>.</p>
<h3><a href=”https://www.autocanteen.com”>Autocanteen</a></h3>
<p>Rosty Kerei and Sergii Khomenko’s startup Autocanteen focuses on AI and computer vision to bring automation to canteens and retail spaces. Their patent technology allows a self-checkout system without barcodes as it identifies items visually. <a href=”https://www.linkedin.com/company/autocanteen”>Find them on Linkedin</a> and <a href=”https://www.facebook.com/autocanteen/”>on Facebook</a>.</p>
<h3><a href=”https://www.glaize.co”>Glaize</a></h3>
<p>Gina Farran’s startup, Glaize, focuses on the beauty industry. Using computer vision, Glaize has identified a niche in women’s nail care offering made-to-measure gels. <a href=”https://www.linkedin.com/company/glaize”>Find them on Linkedin</a> and <a href=”https://www.facebook.com/glaize.co”>on Facebook</a>.</p>
<h3><a href=”https://www.instill.tech”>Instill AI</a></h3>
<p>Based in London, Instill AI is a tech startup that makes AI more accessible for everyone. Founders Ping-Lin Chang and Xiaofei Du have created an open-source unstructured data infrastructure, Versatile Data Pipeline (VDP), designed to help users derive insights or build AI-first applications faster and more efficiently. <a href=”https://www.linkedin.com/company/instilltech”>Find them on Linkedin</a> and <a href=”https://www.facebook.com/instilltech/”>on Facebook</a>.</p>
<h3><a href=”https://deepgears.com/”>DeepGears</a></h3>
<p>Giulio Capodimonti and Pietro Dalpane founded DeepGears with the idea of improving the online fashion shopping experience. They use computer vision technology to help customers find their perfect size in apparel and visualize how garments would fit on their virtual character. Their software is a potential solution for a significant problem in the fashion e-commerce business, helping to reduce returns and increase sales. DeepGears can be found at <a href=”https://deepgears.com/”>https://deepgears.com/</a>.</p>
<p>These fledgling companies are not only shaping the computer vision industry but also contributing significantly to the UK startup scene. With the pace of technological innovations and the ever-increasing applications of computer vision, it’s an exciting time to watch these enterprises grow.</p>
