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Top 100 Ai Startups

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Last Updated: 02 July 2021

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Artificial intelligence is beginning to be usefully deployed in almost every industry, from customer call centers and finance to drug research. Yet the field is also plagued by relentless hype, opaque jargon and esoteric technology, making it difficult for outsiders to identify the most interesting companies. To cut through spin, Forbes partnered with venture firms Sequoia Capital and Meritech Capital to create our second annual AI 50, list of private, US - based companies that are using artificial intelligence in meaningful business - oriented ways. To be include, companies have to be privately - held and focus on techniques like machine learning, natural language processing, or computer Vision. Private AI companies that were incubated at, largely funded or acquired by large tech, manufacturing or industrial firmsincluding, some of the leading autonomous vehicle developerswere, not eligible for consideration. The list was compiled through a submission process open to any AI company in the US. The application asks companies to provide details on their technology, business model, customers and financials like funding, valuation and revenue history. In total, Forbes received about 400 entries. From there, our VC partners apply algorithm to identify 100 with the highest quantitative scores and then a panel of eight expert AI judges identify the 50 most compelling companies. It's not about creating some magic algorithms, says judge Anima Anandkumar, Caltech professor and Nvidias director of machine - Learning research. Focus on the problem and the impact side. Among notable trends this year: Augmented intelligence, which seeks to help humans do their jobs better and not replace them, is on the rise as excitement over full automation loses some steam. Self - driving tech startups remain hot; seven autonomous vehicle companies on this year's list have raised over 3 billion in total venture capital. Another area to watch: AI applications to discover drugs or diagnose diseases faster. Acrossboard,AI50 founders agree that Covid - 19 has permanently accelerated or altered the spread of AI. In terms of valuation, at least 10 of AI 50 are valued at 100 million or less, while 13 are unicorns valued at 1 billion or more. Silicon Valley remains a hub for AI startups, with 34 of 50 honorees coming from the San Francisco Bay Area. Honorees are listed alphabetically. Asterisk donates valuation data from PitchBook rather than company sources or Forbes estimates. Forbes is always on the look out for promising AI companies. So if you know of one not among our AI 50, please email US at AI50 Forbes.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Funding for AI in Healthcare

Interest in artificial intelligence in healthcare will soar in 2019 with investors pouring 4 billion into the sector across 367 deals, according to a new report. That's up from nearly 2. 7 billion was invested in healthcare AI in 2018 across 264 deals, technology market intelligence company CB Insights reported last year. In general, AI startups raised a record 26. 6 billion in 2019 with a total of 2 235 investment deals, according to CB Insights ' latest AI global funding report. Healthcare leads AI Investment, topping 2. 2 billion raised by financial and insurance AI. Companies working on AI in retail and consumer package goods bring in 1. 5 billion in 159 deals. In the third quarter, healthcare AI companies raised almost 1. 6 billion across 103 deals, CB Insights report. The surge in funding was led by mega - rounds of financing reaching at least 100 million. Babylon Health, UK - base AI chatbot that also links up to provider practices, falls into this category and raised 550 million last year. Precision medicine company Tempus, which uses AI to analyze health data, scored 200 million in total funding, and drug discovery company Recursion Pharmaceuticals locked in 121 million in the series C funding round. Freenome, company using AI for early cancer detection, closed a 160 million series B financing round in July. Other healthcare AI companies that land big funding deals in 2019 include PathAI, startup that uses AI for pathology services and diagnostic tools, which raised 60 million, and BenevolentAI, which raised 90 million in equity funding in September. Babylon Health is also one of 24 AI startups reaching unicorn statusmeaning, they are valued at 1 billion or morein 2019, according to CB Insights. Mobihealthnews reported in December that Babylon Health plans to launch its triage chatbot service in the US early this year and has lined up strategic partners to roll out the service. One of Babylon's first planned programs will be aimed at Medicaid, according to MobiHealthNews. Corporations are increasingly partnering with AI startups as incumbents look to startups to help them compete with newer players entering space. Microsoft partners with KenSci, which develops artificial intelligence and machine learning - power risk prediction platform; NVIDIA collaborates with Paige. Ai, which uses AI for cancer pathology; and Google has teamed up with Suki, AI - power, voice - enabled digital assistant for doctors. Digital therapeutics and remote monitoring startup Biofourmis also recently made a deal with pharma giant Novartis to develop new digital therapeutic programs to help patients recently diagnosed with heart failure. 2019 also saw a record number of AI startups making exits, either through mergers and acquisitions or initial public offerings. There were 231 M & deals and 10 IPOs across all industries. Among healthcare AI startups, there were 17 M & deals and two IPOs. Venture Capital firms like Plug and Play Ventures, Accel and Lightspeed Ventures are among venture capital firms with the most deals in 2019, CB Insights report. Corporate venture capital firms with most deals include Intel Capital and Google Ventures, followed by SBI Investment in Japan.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Keeping Cyber Networks Healthy

Privacy and Data Security are the focus of a number of AI Cybersecurity startups, as hackers attempt to leverage Artificial Intelligence to launch sophisticated attacks while also trying to fool AI - powered systems rapidly coming online. I think this is an interesting field because it is bit of a cat and mouse game, note Varadharajanis. As your cyber defenses get smarter, your cyber attacks get even smarter, and so it is a constant game of who is going to match others in terms of tech capabilities. Few AI Cybersecurity startups match Silicon Valley - base SentinelOne in terms of private capital. The company has raised more than 400 million, with a valuation of 1. 1 billion following 200 million Series E earlier this year. Companys Platform automates what is called endpoint Security, referring to laptops, phones, and other devices at the end of a centralized network. Fellow AI 100 Cybersecurity companies include Blue Hexagon, which protects the edge of the network against malware, and Abnormal Security, which stops Target email attacks, both out of San Francisco. Just down the coast in Los Angeles is Obsidian Security, startup offering Cybersecurity for Cloud Services.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Deepfakes Get a Friendly Makeover

This month, advertising Giant WPP will send unusual corporate training videos to tens of thousands of employees worldwide. The presenter will speak in recipients ' language and address them by name, while explaining some basic concepts of artificial intelligence. Videos themselves will be powerful demonstrations of what AI can do: face, and words IT speak, will be synthesize by software. Wpp doesnt bill them as such, but its synthetic training videos might be called deepfakes, loose term applied to images or videos generated using AI that look real. Although best known as tools of harassment, porn, or duplicity, image - generating AI is now being used by major corporations for such anodyne purposes as corporate training. Wpps unreal training videos, made with technology from London Startup Synthesia, are perfect. Wpp chief technology officer Stephan Pretorius said prosody of presenters delivery could be off, most jarring flaw in early cut show to wire that was visually smooth. But the ability to personalize and localize video to many individuals makes for more compelling footage than usual corporate fare, he say. Technology is getting very good very quickly, Pretorius say. Deepfake - style production can also be cheap and quick, advantage amplified by COVID - 19 restrictions that have made conventional video shoots trickier and riskier. Pretorius say company - wide internal education campaign might require 20 different scripts for WPPs global workforce, each costing tens of thousands of dollars to produce. With Synthesia we can have avatars that are diverse and speak your name and your agency and in your language and the whole thing can cost 100 000, he say. In this summer training campaign, languages are limited to English, Spanish, and Mandarin. Pretorius hops to distribute clips, 20 modules of about 5 minutes each, to 50 000 employees this year. The term deepfakes comes from Reddit username of person or persons who in 2017 released a series of pornographic clips modified using machine learning to include faces of Hollywood actresses. Their code was released online, and various forms of AI video and image - generation technology are now available to any interested amateur. Deepfakes have become tools of harassment against activists, and cause of concern among lawmakers and social media executives worried about political disinformation, although they are also used for fun, such as to insert Nicolas Cage into movies he does not appear in. Deepfakes make for titillation, harassment, or fun typically come with obvious giveaway glitches. Startups are now crafting AI technology that can generate video and images able to pass as substitutes for conventional corporate footage or marketing photos. It comes as synthetic medium and people, are becoming more mainstream. Prominent talent agency CAA recently signed Lil Miquela, computer - Generate Instagram influencer with more than 2 million followers. Rosebud AI specializes in making the kinds of glossy images used in ecommerce or marketing. Last year, company released a collection of 25 000 modeling photos of people that have never exist, along with tools that can swap synthetic faces into any photo.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Remarkable success

It been remarkable to see the success of companies named to Artificial Intelligence 100 over the last four years. The 2019 AI 100 saw 48 companies go on to raise 4. 9b of additional financing and nine get acquire, said CB INSIGHTS CEO Anand Sanwal. It has been gratifying to see that CB ' INSIGHTS ' data - driven approach to identifying top AI companies using patents, customer traction, investor quality, market sizing and more has become so effective at picking AI winners of tomorrow. We look forward to seeing what 2020 AI 100 companies will accomplish over the course of this year and beyond. In addition to disrupting core sectors including healthcare, retail, and finance, 2020 AI 100 companies are revamping the broader enterprise Tech stack. These companies span the globe, from the US, UK, China, Chile, and South Africa, and are supported by more than 600 investors. Through evidence - base approach, CB INSIGHTS research team selected AI 100 from nearly 5 000 companies based on several factors, including patent activity, investor quality, news sentiment analysis, proprietary Mosaic scores, market potential, partnerships, competitive landscape, team strength, and Tech novelty. Mosaic Score, based on the CB INSIGHTS algorithm, measures the overall health and growth potential of private companies to help predict company momentum. As of the end of February 2020, these 100 emerging private companies have raised over {matheq}7.4B in funding across 300+ deals from 600+ unique investors There are 10 unicorns (companies valued over {endmatheq} 1B in this year's AI 100 cohort List spans across various industries, including healthcare, retail & warehouse, and finance & insurance. 13 countries, such as China, Sweden, and Japan, are represented in ranking. The majority of startups 65% are based in the United States.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Sources

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

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