{"id":5815,"date":"2021-04-08T12:45:48","date_gmt":"2021-04-08T12:45:48","guid":{"rendered":"https:\/\/techclot.com\/index.php\/2021\/04\/08\/30-under-30-europe-2021-changing-the-world-from-artificial-intelligence-to-covid-19\/"},"modified":"2021-04-08T12:45:48","modified_gmt":"2021-04-08T12:45:48","slug":"30-under-30-europe-2021-changing-the-world-from-artificial-intelligence-to-covid-19","status":"publish","type":"post","link":"https:\/\/techclot.com\/index.php\/2021\/04\/08\/30-under-30-europe-2021-changing-the-world-from-artificial-intelligence-to-covid-19\/","title":{"rendered":"30 Under 30 Europe 2021: Changing The World From Artificial Intelligence To Covid-19"},"content":{"rendered":"<p><a href=\"https:\/\/www.google.com\/url?rct=j&#038;sa=t&#038;url=https:\/\/www.forbes.com\/sites\/leahrosenbaum\/2021\/04\/07\/30-under-30-europe-2021-changing-the-world-from-artificial-intelligence-to-covid-19\/&#038;ct=ga&#038;cd=CAIyHDkyYmU1MGQ5NjY1NjYxZTA6Y28udWs6ZW46R0I&#038;usg=AFQjCNHVmN2x8QBqVQZowKR3rTYd33NnvA\">30 Under 30 Europe 2021: Changing The World From Artificial Intelligence To Covid-19<\/a><\/p>\n<p><div><img decoding=\"async\" data-src=\"https:\/\/thumbor.forbes.com\/thumbor\/fit-in\/1200x0\/filters%3Aformat%28jpg%29\/https%3A%2F%2Fspecials-images.forbesimg.com%2Fimageserve%2F606b91b7ac889ee96a51d99b%2F0x0.jpg%3FcropX1%3D0%26cropX2%3D3240%26cropY1%3D0%26cropY2%3D1823\" class=\"ff-og-image-inserted lazyload\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\"><\/div>\n<h2 class=\"subhead-embed color-accent bg-base font-accent font-size text-align\">These science and healthcare listmakers are inventing the future from the atom up.&nbsp; <\/h2>\n<hr class=\"embed-base rule-embed color-accent border-solid weight-light\">\n<p><abbr class=\"drop-cap color-accent font-accent\">C<\/abbr>an healthtech companies increase access to medical care for people in marginalized communities? For <strong>Jesaja Brinkmann<\/strong>, the answer is a resounding yes. During his medical school studies, Brinkmann realized that combining healthcare and technology can help tackle some of the injustices of healthcare, including the subpar treatment that many patients with chronic disease often receive. Brinkmann is now the cofounder and co-CEO of Cara Care, a digital therapeutics company that helps patients with digestive disorders such as irritable bowel syndrome live a healthier life through dietary guidance, symptom tracking and mental health interventions. The Berlin-based startup takes a holistic approach to treating the whole person, and has raised more than $11 million in funding to date.&nbsp;<\/p>\n<div class=\"article_paragraph_2\"><\/div>\n<p>Brinkmann is just one of the many entrepreneurs and scientists on this year\u2019s <em>Forbes<\/em> 30 Under 30 Europe: Healthcare and Science list. These researchers, innovators and business leaders are changing the world with everything from new cancer treatments to artificial intelligence. The list includes talented people working within Europe, as well as Europeans who have taken their skills to all corners of the world.&nbsp;<\/p>\n<p>Like Brinkmann, several of this year\u2019s other listmakers are also blending healthcare and technology.<strong> Laurence Bargery<\/strong>, the cofounder of accuRx, has created a healthcare communication program that is integrated with 99% of general practitioners in England, making it easier for patients to communicate with their health team. <strong>Tremaine Richard-Noel<\/strong>, meanwhile, is helping the U.K.\u2019s National Health Service revamp its use of robotic automation.<\/p>\n<p>Other listmakers are delving even deeper into applications of artificial technology and machine learning. <strong>Mariane Melo<\/strong> is the Chief Medical Officer of Dem Dx, where she uses artificial intelligence to help frontline healthcare workers improve their triage systems. <strong>Yannis Assael<\/strong>, a senior research scientist at Google DeepMind, looks at how artificial intelligence can improve communication, from lip-reading to restoring ancient Greek texts. Meanwhile, researcher <strong>Antoine Bosselut<\/strong> examines whether AI systems can learn common sense.&nbsp;<\/p>\n<p>Still other listmakers are using their smarts to come up with cutting-edge solutions to climate change. Research scientist <strong>Sreya Ghosh<\/strong> is improving the genetic resilience of crops in the face of climate change, while <strong>Emma Mamisoa Nomena<\/strong>, a PhD candidate at the University of Amsterdam, develops new, waste-friendly biomaterials. Assistant professor <strong>Charlotte Vogt<\/strong> is making catalytic reactions used in chemical manufacturing&nbsp; more climate-friendly. And <strong>Fionn Ferreira<\/strong>, the youngest member of this year\u2019s list at 20 years old, is scaling up his process that uses oil and magnetic powder to remove microplastics from water.&nbsp;<\/p>\n<p>As the Covid-19 pandemic moved across the globe,&nbsp; several listmakers pivoted their work to address different aspects of the pandemic. Academic physician <strong>Daniel Pan<\/strong> was part of the first group to raise concerns that the Covid-19 pandemic was disproportionately impacting minority groups, who often had worse outcomes from the virus than white patients. And assistant professor <strong>Rebecca Webster<\/strong> helped the U.K. government better understand the psychological impact of long-term quarantines.&nbsp;<\/p>\n<p>These are only a few of the incredible people on this year\u2019s list. Be sure to <a href=\"https:\/\/www.forbes.com\/test\/dev\/30-under-30\/2021-euro\/science-healthcare\" target=\"_self\" class=\"color-link\" title=\"https:\/\/www.forbes.com\/test\/dev\/30-under-30\/2021-euro\/science-healthcare\" data-ga-track=\"InternalLink:https:\/\/www.forbes.com\/test\/dev\/30-under-30\/2021-euro\/science-healthcare\" aria-label=\"read up on all of them.\" rel=\"noopener noreferrer\">read up on all of them.&nbsp;<\/a><\/p>\n<hr class=\"embed-base rule-embed color-accent border-solid weight-light\">\n<p>The <em>Forbes<\/em> 30 Under 30 Europe: Science and Healthcare list was created using nominations from a variety of sources and was reported and edited by <a href=\"https:\/\/www.forbes.com\/sites\/leahrosenbaum\/?sh=592f56fe53d1\" target=\"_self\" class=\"color-link\" title=\"https:\/\/www.forbes.com\/sites\/leahrosenbaum\/?sh=592f56fe53d1\" data-ga-track=\"InternalLink:https:\/\/www.forbes.com\/sites\/leahrosenbaum\/?sh=592f56fe53d1\" aria-label=\"Leah Rosenbaum\" rel=\"noopener noreferrer\">Leah Rosenbaum<\/a> and <a href=\"https:\/\/www.forbes.com\/sites\/katiejennings\/?sh=32dfc1f538af\" target=\"_self\" class=\"color-link\" title=\"https:\/\/www.forbes.com\/sites\/katiejennings\/?sh=32dfc1f538af\" data-ga-track=\"InternalLink:https:\/\/www.forbes.com\/sites\/katiejennings\/?sh=32dfc1f538af\" aria-label=\"Katie Jennings\" rel=\"noopener noreferrer\">Katie Jennings<\/a>. The expert judges for this category were <a href=\"https:\/\/www.gsa.europa.eu\/rodrigo-da-costa-executive-director-european-gnss-agency\" target=\"_blank\" class=\"color-link\" title=\"https:\/\/www.gsa.europa.eu\/rodrigo-da-costa-executive-director-european-gnss-agency\" rel=\"nofollow noopener noreferrer\" data-ga-track=\"ExternalLink:https:\/\/www.gsa.europa.eu\/rodrigo-da-costa-executive-director-european-gnss-agency\" aria-label=\"Rodrigo da Costa\">Rodrigo da Costa<\/a>, Executive Director of the European Global Navigation Satellite Systems Agency (GSA); <a href=\"https:\/\/www.cnrs.fr\/en\/person\/antoine-petit\" target=\"_blank\" class=\"color-link\" title=\"https:\/\/www.cnrs.fr\/en\/person\/antoine-petit\" rel=\"nofollow noopener noreferrer\" data-ga-track=\"ExternalLink:https:\/\/www.cnrs.fr\/en\/person\/antoine-petit\" aria-label=\"Antoine Petit\">Antoine Petit<\/a>, Chairman and CEO of the French National Centre for Scientific Research (CNRS); <a href=\"https:\/\/www.hbmpartners.com\/en\/team\/personen\/wicki-andreas.php\" target=\"_blank\" class=\"color-link\" title=\"https:\/\/www.hbmpartners.com\/en\/team\/personen\/wicki-andreas.php\" rel=\"nofollow noopener noreferrer\" data-ga-track=\"ExternalLink:https:\/\/www.hbmpartners.com\/en\/team\/personen\/wicki-andreas.php\" aria-label=\"Andreas Wicki\">Andreas Wicki<\/a>, CEO of HBM Healthcare Investments AG; and <a href=\"https:\/\/www.forbes.com\/profile\/krittika-dsilva\/?sh=7fe169e01d1d\" target=\"_self\" class=\"color-link\" title=\"https:\/\/www.forbes.com\/profile\/krittika-dsilva\/?sh=7fe169e01d1d\" data-ga-track=\"InternalLink:https:\/\/www.forbes.com\/profile\/krittika-dsilva\/?sh=7fe169e01d1d\" aria-label=\"Krittika D'Silva\" rel=\"noopener noreferrer\">Krittika D&#8217;Silva<\/a>, a consultant at McKinsey &amp; Company and a former <em>Forbes<\/em> 30 Under 30 Europe alumna. Thank you to them and everyone who nominated candidates.&nbsp;<\/p>\n<div class=\"newsletter_signup_article\"><\/div>\n<\/p>\n<p>Published at Thu, 08 Apr 2021 03:45:00 +0000<\/p>\n<p><a href=\"https:\/\/www.google.com\/url?rct=j&#038;sa=t&#038;url=https:\/\/www.enterpriseirregulars.com\/175517\/the-top-20-machine-learning-startups-to-watch-in-2021\/&#038;ct=ga&#038;cd=CAIyHDkyYmU1MGQ5NjY1NjYxZTA6Y28udWs6ZW46R0I&#038;usg=AFQjCNE0CW29NBB_RS6g2R4ebhufCbVLpw\">The Top 20 Machine Learning Startups To Watch In 2021<\/a><\/p>\n<p><figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"600\" height=\"400\" data-src=\"https:\/\/i0.wp.com\/techclot.com\/wp-content\/uploads\/2021\/04\/Wu6IB2.jpg?resize=600%2C400&#038;ssl=1\" alt=\"Top 20 Machine Learning Startups To Watch In 2021\" class=\"wp-image-175519 lazyload\" data-srcset=\"https:\/\/techclot.com\/wp-content\/uploads\/2021\/04\/Wu6IB2.jpg 600w, https:\/\/mk0enterpriseirdbne0.kinstacdn.com\/wp-content\/uploads\/2021\/04\/Top-20-Machine-Learning-Startups-To-Watch-In-2021-main-image-300x200.jpg 300w, https:\/\/mk0enterpriseirdbne0.kinstacdn.com\/wp-content\/uploads\/2021\/04\/Top-20-Machine-Learning-Startups-To-Watch-In-2021-main-image-768x512.jpg 768w, https:\/\/mk0enterpriseirdbne0.kinstacdn.com\/wp-content\/uploads\/2021\/04\/Top-20-Machine-Learning-Startups-To-Watch-In-2021-main-image-1536x1024.jpg 1536w, https:\/\/mk0enterpriseirdbne0.kinstacdn.com\/wp-content\/uploads\/2021\/04\/Top-20-Machine-Learning-Startups-To-Watch-In-2021-main-image-2048x1365.jpg 2048w\" data-sizes=\"auto, (max-width: 600px) 100vw, 600px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 600px; --smush-placeholder-aspect-ratio: 600\/400;\"><\/figure>\n<ul>\n<li>There are a record number of 9,977 machine learning startups and companies in Crunchbase today, an 8.2% increase over the 9,216 startups listed in 2020 and a 14.6% increase over the 8,705 listed in 2019.<\/li>\n<\/ul>\n<ul>\n<li>Artificial Intelligence (A.I.) and machine learning (ML)-related companies received a record $27.6 billion in funding in 2020, according to Crunchbase.&nbsp;<\/li>\n<\/ul>\n<ul>\n<li>Of those A.I. and machine learning startups receiving funding since January 1, 2020, 62% are seed rounds, 31% early-stage venture rounds and 6.7% late-stage venture capital-funded rounds.<\/li>\n<\/ul>\n<ul>\n<li>A.I. and machine learning startups\u2019 median funding round was $4.4 million and the average was $29.8 million in 2020, according to Crunchbase.<\/li>\n<\/ul>\n<p>Throughout 2020, venture capital firms continued expanding into new global markets, with London, New York, Tel Aviv, Toronto, Boston, Seattle and Singapore startups receiving increased funding. Out of the 79 most popular A.I. &amp; ML startup locations, 15 are in the San Francisco Bay Area, making that region home to 19% of startups who received funding in the last year. Israel\u2019s Tel Aviv region has 37 startups who received venture funding over the last year, including those launched in Herzliya, a region of the city known for its robust startup and entrepreneurial culture. &nbsp;<\/p>\n<p>The following graphic compares the top 10 most popular locations for A.I. &amp; ML startups globally based on Crunchbase data as of today:<\/p>\n<figure class=\"wp-block-image size-large is-resized\"><img data-recalc-dims=\"1\" decoding=\"async\" data-src=\"https:\/\/i0.wp.com\/techclot.com\/wp-content\/uploads\/2021\/04\/ftCEVE.jpg?resize=636%2C403&#038;ssl=1\" alt class=\"wp-image-175526 lazyload\" width=\"636\" height=\"403\" data-srcset=\"https:\/\/techclot.com\/wp-content\/uploads\/2021\/04\/ftCEVE.jpg 600w, https:\/\/mk0enterpriseirdbne0.kinstacdn.com\/wp-content\/uploads\/2021\/04\/crunchbase-image-of-startup-funding-startups-4-7-21-300x190.jpg 300w, https:\/\/mk0enterpriseirdbne0.kinstacdn.com\/wp-content\/uploads\/2021\/04\/crunchbase-image-of-startup-funding-startups-4-7-21-768x486.jpg 768w, https:\/\/techclot.com\/wp-content\/uploads\/2021\/04\/ftCEVE.jpg 1012w\" data-sizes=\"auto, (max-width: 636px) 100vw, 636px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 636px; --smush-placeholder-aspect-ratio: 636\/403;\"><\/figure>\n<p><strong>Top 20 Machine Learning Startups To Watch In 2021<\/strong><\/p>\n<p><strong>Augury \u2013 <\/strong>Augury combines real-time monitoring data from production machinery with AI and machine learning algorithms to determine machine health, asset performance management (APM) and predictive maintenance (PdM) to provide manufacturing companies with new insights into their operations. The digital machine health technology that the company offers can listen to the machine, analyze the data and catch any malfunctions before they arise. This enables customers to adjust their maintenance and manufacturing processes based on actual machine conditions. The platform is in use with HVAC, industrial factories and commercial facilities.<\/p>\n<p><strong>Alation \u2013 <\/strong>Alation is credited with pioneering the data catalog market and is well-respected in the financial services community for its use of A.I. to interpret and present data for analysis. Alation has also set a quick pace to evolving its platform to include data search &amp; discovery, data governance, data stewardship, analytics and digital transformation. With its Behavioral Analysis Engine, inbuilt collaboration capabilities and open interfaces, Alation combines machine learning with human insight to successfully tackle data and metadata management challenges. More than 200 enterprises are using Alation\u2019s platform today, including AbbVie, American Family Insurance, Cisco, Exelon, Finnair, Munich Re, New Balance, Pfizer, Scandinavian Airlines and U.S. Foods. Headquartered in Silicon Valley, Alation is backed by leading venture capitalists including Costanoa, Data Collective, Icon, Sapphire and Salesforce Ventures.<\/p>\n<p><strong>Algorithmia \u2013<\/strong> Algorithmia\u2019s expertise is in machine learning operations (MLOps) and helping customers deliver ML models to production with enterprise-grade security and governance. Algorithmia automates ML deployment, provides tooling flexibility, enables collaboration between operations and development and leverages existing SDLC and CI\/CD practices. Over 110,000 engineers and data scientists have used Algorithmia\u2019s platform to date, including the United Nations, government intelligence agencies and Fortune 500 companies.<\/p>\n<p><strong>Avora \u2013 <\/strong>Avora is noteworthy for its augmented analytics platform, making in-depth data analysis intuitively as easy as performing web searches. The company\u2019s unique technology hides complexity, empowering non-technical users to run and share their reports easily. By eliminating the limitations of existing analytics, reducing data preparation and discovery time by 50-80% and accelerating time to insight, Avora uses ML to streamline business decision-making. Headquartered in London with offices in New York and Romania, Avora helps accelerate decision making and productivity for customers across various industries and markets, including Retail, Financial Services, Advertising, Supply Chain and Media and Entertainment.<\/p>\n<p><strong>Boast.ai<\/strong> \u2013 Focused on helping companies in the U.S. and Canada recover their R&amp;D costs from respective federal governments, Boast.ai enables engineers and accountants to gain tax credits using AI-based tools. Some of the tax programs Boast.ai works with include US R&amp;D Tax Credits, Scientific Research and Experimental Development (SR&amp;ED) and Interactive Digital Media Tax Credits (IDMTC). The startup has offices in San Francisco, Vancouver and Calgary.<\/p>\n<p><strong>ClosedLoop.ai \u2013 <\/strong>An Austin, Texas-based startup, ClosedLoop.ai has created one of the healthcare industry\u2019s first data science platforms that streamline patient experiences while improving healthcare providers\u2019 profitability.&nbsp; Their machine learning automation platform and a catalog of pre-built predictive and prescriptive models can be customized and extended based on a healthcare provider\u2019s unique population or client base needs. Examples of their technology applications include predicting admissions\/readmissions, predicting total utilization &amp; total risk, reducing out-of-network utilization, avoiding appointment no-shows, predicting chronic disease onset or progression and improving clinical documentation and reimbursement. The Harvard Business School, through its Kraft Precision Medicine Accelerator, recently named ClosedLoop.ai as one of the fastest accelerating companies in <em>its Real World Data Analytics Landscapes report<\/em>.<\/p>\n<p><strong>Databand <\/strong>\u2013 A Tel Aviv-based startup that provides a software platform for agile machine learning development, Databand was founded in 2018 by Evgeny Shulman, Joshua Benamram and Victor Shafran. Data engineering teams are responsible for managing a wide suite of powerful tools but lack the utilities they need to ensure their ops are running properly. Databand fills this gap with a solution that enables teams to gain a global view of their data flows, make sure pipelines complete successfully and monitor resource consumption and costs. Databand fits natively in the modern data stack, plugging seamlessly into tools like Apache Airflow, Spark, Kubernetes and various ML offerings from the major cloud providers.<\/p>\n<p><strong>DataVisor<\/strong> \u2013 DataVisor\u2019s approach to using AI for increasing fraud detection accuracy on a platform level is noteworthy. Using proprietary unsupervised machine learning algorithms, DataVisor enables organizations to detect and act on fast-evolving fraud patterns and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4.2B global user accounts, DataVisor protects against financial and reputational damage across various industries, including financial services, marketplaces, e-commerce and social platforms. They\u2019re one of the more fascinating cybersecurity startups using AI today.<\/p>\n<p><strong>Exceed.ai \u2013 <\/strong>What makes Exceed.ai noteworthy is how their AI-powered sales assistant platform automatically communicates the lead\u2019s context and enables sales and marketing teams to scale their lead engagement and qualification efforts accordingly. Exceed.ai follows up with every lead and qualifies them quickly through two-way, automated conversations with prospects using natural language over chat and email. Sales reps are freed from performing error-prone and repetitive tasks, allowing them to focus on revenue-generating activities such as phone calls and demos with potential customers.<\/p>\n<p><strong>Indico<\/strong> \u2013 Indico is a Boston-based startup specializing in solving the formidable challenge of how dependent businesses are on unstructured content yet lack the frameworks, systems and tools to manage it effectively. Indico provides an enterprise-ready A.I. platform that organizes unstructured content while streamlining and automating back-office tasks. Indico is noteworthy given its track record of helping organizations automate manual, labor-intensive, document-based workflows.&nbsp; Its breakthrough in solving these challenges is an approach known as transfer learning, which allows users to train machine learning models with orders of magnitude fewer data than required by traditional rule-based techniques. Indico enables enterprises to deploy A.I. to unstructured content challenges more effectively while eliminating many common barriers to A.I. &amp; ML adoption.<\/p>\n<p><strong>LeadGenius \u2013 <\/strong>LeadGenius is noteworthy for its use of AI to provide personalized and actionable B2B lead information that helps its clients attain their global revenue growth goals. LeadGenius\u2019s worldwide team of researchers uses proprietary technologies, including AI and ML-based techniques, to deliver customized lead generation, lead enrichment and data hygiene services in the format, methods and frequency defined by the customer. Their mission is to enable B2B sales and marketing organizations to connect with their prospects via unique and personalized data sets.<\/p>\n<p><strong>Netra<\/strong> \u2013 Netra is a Boston-based startup that began as part of MIT CSAIL research and has multiple issued and pending patents on its technology today. Netra is noteworthy for how advanced its video imagery scanning and text metadata interpretation are, ensuring safety and contextual awareness. Netra\u2019s patented A.I. technology analyzes videos in real-time for contextual references to unsafe content, including deepfakes and potential cybersecurity threats.&nbsp;<\/p>\n<p><strong>Particle \u2013 &nbsp;<\/strong>Particle is an end-to-end IoT platform that combines software including A.I., hardware and connectivity to provide a wide range of organizations, from startups to enterprises, with the framework they need to launch IoT systems and networks successfully.&nbsp; Particle customers include Jacuzzi, Continental Tires, Watsco, Shifted Energy, Anderson EV, Opti and others. Particle is venture-backed and has offices in San Francisco, Shenzhen, Las Vegas, Minneapolis and Boston. Particle\u2019s developer community includes over 200,000 developers and engineers in more than 170 countries today.<\/p>\n<p><strong>RideVision \u2013 <\/strong>RideVision was founded in 2018 by motorcycle enthusiasts Uri Lavi and Lior Cohen. The company is revolutionizing the motorcycle-safety industry by harnessing the strength of artificial intelligence and image-recognition technology, ultimately providing riders with a much broader awareness of their surroundings, preventing collisions and enabling bikers to ride with full confidence that they are safe. RideVision\u2019s latest round was $7 million in November of last year, bringing their total funding to $10 million in addition to a partnership with Continental AG.<\/p>\n<p><strong>Savvie \u2013 <\/strong>Savvie is an Oslo-based startup specializing in translating large volumes of data into concrete actions that bakery and caf\u00e9 owners can utilize to improve their bottom line every day.&nbsp; In doing so, we help food businesses make the right decisions to optimize their operations and increase profitability while reducing waste at its source. What\u2019s noteworthy about this startup is how adept they are at fine-tuning ML algorithms to provide their clients with customized recommendations and real-time insights about their food and catering businesses. &nbsp;Their ML-driven insights are especially valuable given how bakery and caf\u00e9 owners are pivoting their business models in response to the pandemic.<\/p>\n<p><strong>SECURITI.ai \u2013 <\/strong>One of the most innovative startups in cybersecurity, combining AI and ML to secure sensitive data in multi-cloud and mixed platform environments, SECURITI.ai is a machine learning company to watch in 2021, especially if you are interested in cybersecurity.&nbsp; Their AI-powered platform and systems enable organizations to discover potential breach risk areas across multi-cloud, SaaS and on-premise environments, protect it and automate all private systems, networks and infrastructure functions.<\/p>\n<p><strong>SkyHive<\/strong> \u2013 SkyHive is an artificial intelligence-based SaaS platform that aims to reskill enterprise workforces and communities. It develops and commercializes a methodology, Quantum Labor Analysis, to deliver real-time, skill-level insights into internal workforces and external labor markets, identify future and emerging skills and facilitate individual-and company-level reskilling. SkyHive is industry-agnostic and supporting enterprise and government customers globally with a mission to reduce unemployment and underemployment. Sean Hinton founded the technology company in Vancouver, British Columbia, in 2017.<\/p>\n<p><strong>Stravito<\/strong> \u2013 Stravito is an A.I. startup that\u2019s combining machine learning, Natural Language Processing (NLP) and Search to help organizations find and get more value out of the many market research reports, competitive, industry, market share, financial analysis and market projection analyses they have by making them searchable. Thor Olof Philog\u00e8ne and Sarah Lee founded the company in 2017, who identified an opportunity to help companies be more productive, getting greater value from their market research investments. Thor Olof Philog\u00e8ne and Andreas Lee were co-founders of NORM, a research agency where both worked for 15 years serving multinational brands, eventually selling the company to IPSOS. While at NORM, Anders and Andreas were receiving repeated calls from global clients that had bought research from them but could not find it internally and ended up calling them asking for a copy. Today the startup has Carlsberg, Comcast, Colruyt Group, Danone, Electrolux, Pepsi Lipton and others. Stravito has offices in Stockholm (H.Q.), Malm\u00f6 and Amsterdam.<\/p>\n<p><strong>Verta.ai<\/strong> \u2013 Verta is a startup dedicated to solving the complex problems of managing machine learning model versions and providing a platform to launch models into production.&nbsp;Founded by Dr. Manasi Vartak, Ph.D., a graduate of MIT, who led a team of graduate and undergraduate students at MIT CSAIL to build ModelDB, Verta is based on their work define the first open-source system for managing machine learning models. Her dissertation<em>,&nbsp;Infrastructure for model management and model diagnosis<\/em>, proposes ModelDB, a system to track ML-based workflows\u2019 provenance and performance.&nbsp;In August of this year, Verta received a $10 million Series A round led by Intel Capital and General Catalyst, who also led its $1.7 million seed round. For additional details on Verta.ai, please see <a href=\"https:\/\/www.forbes.com\/sites\/louiscolumbus\/2020\/12\/21\/how-startup-verta-helps-enterprises-get-machine-learning-right\/?sh=2e7099a57324\">How Startup Verta Helps Enterprises Get Machine Learning Right<\/a>. The Verta MLOps platform launch webinar provides a comprehensive overview of the platform and how it\u2019s been designed to streamline machine learning models into production:<\/p>\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\n<div class=\"wp-block-embed__wrapper\">\n<span class=\"embed-youtube\" style=\"text-align:center; display: block;\"><iframe class=\"youtube-player lazyload\" width=\"620\" height=\"349\" data-src=\"https:\/\/www.youtube.com\/embed\/yO84xPMHZk4?version=3&amp;rel=1&amp;showsearch=0&amp;showinfo=1&amp;iv_load_policy=1&amp;fs=1&amp;hl=en-US&amp;autohide=2&amp;wmode=transparent\" allowfullscreen=\"true\" style=\"border:0;\" sandbox=\"allow-scripts allow-same-origin allow-popups allow-presentation\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe><\/span>\n<\/div>\n<\/figure>\n<p><strong>V7<\/strong> \u2013 V7 allows vision-based A.I. systems to learn continuously from training data with minimal human supervision. The London-based startup emerged out of stealth in August 2018 to reveal V7 Darwin, an image labeling platform to create training data for computer vision projects with little or no human involvement necessary. V7 specializes in healthcare, life sciences, manufacturing, autonomous driving, agri-tech, sporting clients like Merck, GE Healthcare and Toyota. V7 Darwin launched at CVPR 2019 in Long Beach, CA. Within its first year, it has semi-automatically annotated over 1,000 image and video segmentation datasets. V7 Neurons is a series of pre-trained image recognition applications for industry use. The following video explains how V7 Darwin works:<\/p>\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\n<div class=\"wp-block-embed__wrapper\">\n<span class=\"embed-youtube\" style=\"text-align:center; display: block;\"><iframe class=\"youtube-player lazyload\" width=\"620\" height=\"349\" data-src=\"https:\/\/www.youtube.com\/embed\/iBpgSQk5Qyg?version=3&amp;rel=1&amp;showsearch=0&amp;showinfo=1&amp;iv_load_policy=1&amp;fs=1&amp;hl=en-US&amp;autohide=2&amp;wmode=transparent\" allowfullscreen=\"true\" style=\"border:0;\" sandbox=\"allow-scripts allow-same-origin allow-popups allow-presentation\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe><\/span>\n<\/div>\n<\/figure>\n<div id=\"jp-relatedposts\" class=\"jp-relatedposts\">\n<h3 class=\"jp-relatedposts-headline\"><em>Related<\/em><\/h3>\n<\/div>\n<p>Published at Thu, 08 Apr 2021 00:33:38 +0000<\/p>\n","protected":false},"excerpt":{"rendered":"<p>30 Under 30 Europe 2021: Changing The World From Artificial Intelligence To Covid-19 These science&#8230;<\/p>\n","protected":false},"author":3,"featured_media":5816,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-5815","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"jetpack_featured_media_url":"https:\/\/techclot.com\/wp-content\/uploads\/2021\/04\/https%3A%2F%2Fspecials-images.forbesimg.com%2Fimageserve%2F606b91b7ac889ee96a51d99b%2F0x0.jpg%3FcropX1%3D0%26cropX2%3D3240%26cropY1%3D0%26cropY2%3D1823","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p3orZX-1vN","jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts\/5815","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/comments?post=5815"}],"version-history":[{"count":0,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts\/5815\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/media\/5816"}],"wp:attachment":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/media?parent=5815"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/categories?post=5815"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/tags?post=5815"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}