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Ai Startups Silicon Valley

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Last Updated: 02 July 2021

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General | Latest Info

Once the stuff of imagination and sci-fi novels, Artificial Intelligence has become not only reality, but a way of the world. Decades ago, AI was simply a hypothesis about machines ' potential capabilities-but since then, IT has swiftly become an essential tech function that powers everything from our businesses to our cars. Functional possibilities of AI have taken leaps and bounds over the past decade, and no place is a bigger hotbed for such development than Silicon Valley. Home to AI giants like Intel and Google, Bay Area is fostering tremendous talent and innovation when IT comes to what deep machine learning can do. These 18 Silicon Valley AI companies demonstrate how much can be accomplished when humans and machines work side by side. What theyre about: Moveworks is a cloud-base AI platform that helps to automate enterprise-level IT support tickets. The platform combines machine learning, Natural Language Understanding and deep integrations to understand and resolve common IT issues. The Moveworks chatbot can instantly resolve minor questions, can suggest materials that might help to resolve questions and even follow up with employees. Slack, Medallia, Autodesk, Belkin and Stitch Fix all use the Moveworks platform to efficiently resolve their IT ticket. What theyre about: Tempus is a technology and medicine company that uses AI to help medical professionals with precision medicine. Companys AI is being used to pull information from Tempus-own collection of molecular and clinical data. Insights AI finds give doctors better insights into personalized treatment plans, and help researchers to speed up drug discoveries. What theyre about: Voyage develop self-driving car technology and services. Companies use AI, computer vision and Data Science to allow their technology to predict behavior and map optimal routes, so passengers can get to where theyre going safely. Voyage has started their autonomous vehicle testing in retirement communities, where retirees can hitch ride without having to wait for humans to drive them around. What theyre about: Competing in an exploding self-driving car market, Cruise is developing vehicles that will be able to autonomously navigate complicated routes and keep up to date with safety concerns. In addition to their self-driving predictive technology, cruise electric vehicles produce zero emissions, and the company has plans to organize on-demand ride hailing service made up of electric cars. They plan to utilize their AI power green tech to solve problems of congestion and pollution in San Francisco. What theyre about: Grammarly is a digital editing assistant that checks both spelling and grammar in real time, while providing educational tools to help users improve their writing skills. A product of advanced machine learning and deep learning, Grammarlys advances Natural Language processing technology spell checks and offers Insights into grammar suggestions. The Company currently has plans to create technology that can pick up on tone and suggest corrections based on users ' writing objectives. What theyre about: Metromile utilizes deep learning technology to help car owners unlock best pay-per-mile car insurance rates.

* 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

A Cash-burning Game

SAN FRANCISCO Fred Wilson, Venture capitalist at Union Square Ventures, recently published a blog post titled Great Public Market Reckoning. In IT, he argued that the narrative that had driven start-up hype and valuations for the last decade was now falling apart. His post quickly ricochetted across Silicon Valley. Other Venture capitalists, including Bill Gurley of Benchmark and Brad Feld of Foundry Group, soon weigh in with their own warnings about fiscal responsibility. At some start-ups, entrepreneurs begin behaving more cautiously. Travis VanderZanden, chief executive of scooter start-up Bird, declared at a tech conference in SAN FRANCISCO last week that his company was now focus on profit and not growth. The challenge is to try to stay disciplined, he say. Nascent change is being driven by the stumbles of some high-profile unicorns start-ups that were valued at $1 billion and above in private markets just as they reach stock market. Most visible of those was office rental start-up WeWork, which dramatically ousted its chief executive and withdrew its initial public offering last month. At the same time, shares of Peloton, fitness start-up, and SmileDirectClub, online orthodontics company, immediately cratered after the companies went public. And Uber, Lyft and Slack, which also listed their stocks this year, have similarly dealt with falling stock prices for months. Lackluster performances have raised questions about Silicon Valleys start-up formula of spending lots of money to grow at the expense of profits. Public market investors, IT seem, just want to have IT. A lot of these highly valued companies have run into the buzz saw of Wall Street, where theyre questioning or reminding us that profitability matters, says Patricia Nakache, partner at Trinity Ventures, Silicon Valley Venture Capital firm. She added that she anticipates a ripple effect on private start-up valuations that would start with the largest, most valuable companies and trickle down to smaller, younger ones. For start-ups and investors that were used to heady Times and big spending, that means IT may be time for reset. Aileen Lee, investor at Cowboy Ventures, Venture Capital firm in Palo Alto, Calif., Say she is considering dusting off her four-year-old winter is coming email she sent to start-ups in 2015, telling them to prepare for a downturn. She hasnt revived warning yet, she say, because I worry about becoming a boy who cries wolf. Other Venture capitalists are being more forward. At Eniac Ventures, venture firm in New York and SAN FRANCISCO, partners recently comb through their companies and identify gross margins measure of profitability for each one, said Nihal Mehta, general partner of the firm. This was not something firm regularly look at, he say, but they were inspired by Mr. Wilsons ' cautionary blog post. They ultimately decided that in future meetings with entrepreneurs, they would push for more detailed financial models, even though companies are very young, Mr. Mehta say.

* 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

Though total dollars fell slightly in 2017, number of deals peaked—58 compared to 52 in 2016—a sign that companies are increasingly leveraging AI / ML algorithms to drive business value. Sizable drop in average deal size from $14. 9M in 2016 to $12M in 2017 largely accounts for a dip in total funding. Notably, each value proposition is being pursued by at least one AI / ML company, demonstrating belief among entrepreneurs and investors that AI / ML has potential to disrupt all aspects of healthcare business and delivery. Since 2011, AI / ML companies serving as Research & Development Catalysts have received most funding—this includes companies in drug discovery and Clinical trial Management space. Flatiron Health was notably acquired last month by Roche for $1. 9B— accounts for nearly half of the dollars flowing to this value proposition, having raised $130M in 2014 and $175M in 2016. Other Research & Development Catalyst AI / ML companies include Evidation Health, whose platform creates novel digital biomarkers and analyzes real-world behavioral data to quantify health outcomes, and Utah-base Recursion Pharmaceuticals, which employs a combination of Automation and bioinformatics to rapidly screen small molecules for drug discovery. And to kick off 2018, Atomwise just raised $45M to leverage deep learning algorithms to analyze and make predictions about molecule efficacy early in the drug discovery timeline. With AI / ML enabling robust risk stratification and intervention matching, Population Health Management, bolstered by Welltok, came in as second highest-funded value proposition with $524M invest. Clinical Workflow value proposition came in third at $515M, with companies such as Qventus and LeanTaaS leveraging predictive algorithms to optimize Hospital supplies, labor, and throughput. To learn more about companies transforming healthcare via AI / ML, check out the full report. Were also excited to be launching an event, Enterprise Insights Forum, to further discussion on demystifying AI / ML in healthcare. Learn more and request your invite! 1 This analysis does not include healthcare companies that fall outside Rock Health's definition of digital Health, including medical diagnostic companies, such as Freenome and Grail, and service companies that use AI / ML, like Clover Health and Oscar. Though we do not include them in this analysis, these companies raise significant Venture rounds and leverage AI / ML algorithms in their work. This analysis also does not include any companies whose headquarters are outside of the US. 2 value proposition consists of business reasons or drivers that motivate the decision to purchase digital Health companies products or services. Companies can be assigned multiple value propositions when appropriate, so single company funding may be represented across multiple value propositions.

* 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

Sunnyvale seems like the right place to establish a startup, with its prime Silicon Valley location and palpable work-life-balance vibes. As its namesake suggests, Sunnyvale boasts year-round mild weather, as well as a quaint downtown district that beckons to young families and professionals. In this sense, town could be called quintessential Silicon Valley city, with its California sunshine and strong tech community feel. So, unsurprisingly, many startups have decided to carve out spaces for themselves within Sunnyvales growing tech community. But for some of Sunnyvales brightest startups, it is not just about kombucha and indoor foosball, although many of their offices offer both of these perks. These fledgling organizations are tackling some of the tech world's biggest concerns. While some are breaking ground within cybersecurity, others are finding new ways to optimize healthcare. Although it may seem that pressure is on in this Silicon Valley city, these 15 Sunnyvale startups are certainly stepping up to the challenge. What they do: Arctic Wolf Networks provide scalable manage cybersecurity protection to help companies keep their critical data, networks, web-base applications and devices safe. Their team of Security experts deliver cloud-base monitoring, risk management, threat detection and response Services that protect companies from cyber attacks. Company proprietary Security operations centers are designed to customize workflows and create around-clock frictionless Security outcomes. Arctic Wolfs hybrid AI outperforms analyst-driven or unsupervised machine learning solutions, reduces false positives and identifies more attacks. Who they work with: Roper Pump, Kern Schools Federal Credit Union, Jackson Parish School, First United Bank & Trust. What they do: BlueCart is a web and mobile platform that organizes and simplifies the ordering process so restaurants and their suppliers can save time and money. Companies streamline and organize the ordering process, allowing restaurants to place orders with all of their suppliers at once, and vendors can receive orders in simple, real-time forms. BlueCart helps clients with a variety of tasks, including monitoring product catalogs and sales, managing and fulfilling incoming orders, and responding to customer questions using a built-in messaging platform. Additionally, companies provide real-time statistics and graphs that enable businesses to easily analyze their spending. Who they work with: Mollaga Indian Grill, Bellegarde Bakery, FLUID Coffeebar, Prestige Oyster and Cafe Kreyol. What they do: BorderX Lab is dedicated to connecting global brands with Chinese consumers through its Beyond Fashion and Beauty Discovery app, which allows shoppers to buy directly from official websites of designer brands. The company has developed a personalization and logistics platform to create the best possible cross-border shopping experience. The Companies also boast a team of in-house influencers that create engaging online content for showcasing brands and products. Partnering directly with major US and European Fashion and Beauty brands, BorderX Lab guarantees Chinese shoppers authentic products at authentic prices. Who they work with: Alexander Wang, Kate Somerville, Barneys New York, Harrods, Saks Fifth Avenue and Nine West. What they do: Clari is dedicated to helping companies reach their fullest potential by transforming their revenue operations to be connect, efficient and predictable.

* 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

In some ways, theres little difference between deepfake acting and CGI acting, or perhaps voice acting for cartoon. Your likeness doesnt make IT into the final production, but the result still has your signature and interpretation. But deepfake casting can also go in other direction, with a person's face swapped into someone else's performance. Making this type of fake persuasive was the task of Ryan Laney, visual effects artist who worked on the 2020 HBO documentary Welcome to Chechnya. The film follows activists who risk their lives to fight persecution of LGBTQ individuals in the Russian republic. Many of them live in secrecy for fear of torture and execution. In order to tell their stories, director David France promised to protect their identities, but he wanted to do so without losing their humanity. After testing out numerous solutions, his team finally landed on deepfakes. He partnered with Laney, who developed an algorithm that overlay one face onto another while retaining latters expressions. The casting process was thus searching not for performers but for 23 people who would be willing to lend their face. France ultimately asked LGBTQ activists to volunteer as covers. He came to IT from not who is best actor, but who are people interested in cause, Laney say, because they were effectively acting as human shield. The team scouts activists through events and Instagram posts, based on their appearance. Each cover face needs to look sufficiently different from the person's mask while also aligning in certain characteristics. Facial hair, jawlines, and nose length need to roughly match, for example, and each pair had to be approximately the same age for cover persons face to look natural on the original subjects body. Team do always match ethnicity or gender, however. The lead character, Maxim Lapunov, who is white, was shielded by a Latino activist, and the female character was shielded by an activist who is gender nonconforming. Throughout the process, France and Laney make sure to get fully informed consent from all parties. The subjects of the film actually get to look at work before David releases IT, Laney say. Everybody gets to sign off on their own cover to make sure they feel comfortable.

* 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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