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Mobvoi, a Chinese voice recognition startup, signed a strategic partnership to build a 50/50 joint venture targeting the automotive market with Volkswagen. The deal involved VW investing $180 million in a Mobvoi series D funding. Modvoi has developed an advanced Chinese speech recognition system, Chinese/English translation, semantic analysis and integrated vertical and proactive search, all adapted for and connected with a smart rear-view mirror that provides navigation, messaging and information through voice input. Prof. Dr. Heizmann, President and CEO of Volkswagen Group China said: "This partnership is a particular example of Volkswagen's determination to work with groundbreaking Chinese tech companies like Mobvoi to create new forms of people-oriented mobility technology. We are impressed by Mobvoi's innovative approach of AI technologies, and we are pleased to form this joint venture to explore the next generation of smart mobility."
San Francisco startup Sense.ly has raised $8 million in a Series B round of venture funding to bring its virtual nurse technology to clinics and patients of every kind. The company's app helps physicians stay in touch with patients, and prevent readmission to the hospital. Adam Odessky describes the platform as "A cross between Whatsapp and Siri that captures all the important signals about a person's health." On the patient side, Sense.ly asks users to tell a nurse avatar how they're doing with 5-minute "check ins" either once a day, or every few days, on their smartphones. Patients can simply talk to the app, no typing required.
Increased investor interest in AI startups – from around 10 deals in Q1'11 to over 120 in Q2'16 – can be attributed to recent advances in machine learning algorithms, particularly "deep learning" technology, a souped up version of AI. Just this week, Google integrated deep learning into its Google Translate tool; Baidu announced the launch of DeepBench, an "open source benchmarking tool for evaluating deep learning performance across different hardware platforms"; and NVIDIA introduced Xavier, a deep learning-based supercomputer for driverless cars. In the private market, Google put deep learning in the spotlight back in 2014 when it acquired 4 startups focused on this AI tech in quick succession: DeepMind, Vision Factory, Dark Blue Labs, and DNNresearch. Apple, which joined the race in 2015, most recently acquired Turi, which has developed a deep learning toolkit, among other AI-based solutions. Not to be outdone, Intel has acquired around 5 AI startups since January 2015, including deep learning startup Nervana Systems and, more recently, Movidius.
Networked Insights, a Chicago-based company whose tools crawl the social web and analyze data for marketers, has raised $30 million in Series E funding, the company announced Friday. The company sifts through 560 million social media posts from 30 million sources daily, it said on its website. It sorts and analyzes that information for marketers and agencies, and pitches itself as a way for them to create better-targeted and more effective campaigns. Its clients include NBC Universal, media-buying agency GroupM, and American Family Insurance, whose venture arm is an investor. The funding will help Networked Insights invest in deep learning and artificial intelligence capabilities on its platform, Kairos, the company said.
Israeli machine learning startup Dynamic Yield has raised $22 million in Series C financing round led by Vertex and ClalTech, with participation from Baidu and Global Founders Capital. Existing investors Bessemer Venture Partners, Marker LLP and Innovation Endeavors also participated. The funds will be used to fuel further global growth of Dynamic Yield's personalization technology across the world. Dynamic Yield's advanced machine learning engine builds actionable customer segments in real time, enabling marketers to increase revenue via personalization, recommendations, automatic optimization & 1:1 messaging. Dynamic Yield, founded in 2012 by CEO Liad Agmon and CTO Omri Mendellevich has offices in Tel Aviv, New York and Berlin.
Increased investor interest in AI startups – from around 10 deals in Q1'11 to over 120 in Q2'16 – can be attributed to recent advances in machine learning algorithms, particularly "deep learning" technology, a souped up version of AI. Just this week, Google integrated deep learning into its Google Translate tool; Baidu announced the launch of DeepBench, an "open source benchmarking tool for evaluating deep learning performance across different hardware platforms"; and NVIDIA introduced Xavier, a deep learning-based supercomputer for driverless cars. In the private market, Google put deep learning in the spotlight back in 2014 when it acquired 4 startups focused on this AI tech in quick succession: DeepMind, Vision Factory, Dark Blue Labs, and DNNresearch. Apple, which joined the race in 2015, most recently acquired Turi, which has developed a deep learning toolkit, among other AI-based solutions. Not to be outdone, Intel has acquired around 5 AI startups since January 2015, including deep learning startup Nervana Systems and, more recently, Movidius.
Even before they began to graduate from college, millennials drove changes at work, from management and recruiting practices to the design of office interiors. But companies are still adapting and figuring out what matters most to this large demographic and employee base. Now, a tech startup called Zugata has raised $7 million in Series A venture funding to replace the crusty old performance review with something more motivating to this group than a twice-a-year, managerial write-up. Investors in Zugata's new round included Canaan Partners, General Catalyst and Redpoint Ventures. Founded in 2014, Palo Alto-based Zugata developed software as a service that automatically figures out who employees work with most, and then helps them gather feedback from each other, directly, without managers or HR departments eavesdropping.
Clarifai, whose visual recognition software can instantly sort through a travel website's millions of hotel photos, has raised $30 million in a Series B round. The Flatiron-district-based startup plans to use the money to further its development of low-cost and easy-to-use artificial intelligence applications. Silicon Valley stalwart Menlo Ventures led the round, with participation from existing investors, including Union Square Ventures, Lux Capital and Qualcomm Ventures. Founded in 2013, Clarifai has so far raised a total of $41 million. "We've launched new products that move us in this direction of personalizing AI and getting away from this one-size-fits-all approach," said Clarifai founder and CEO Matt Zeiler in an interview.