Matt Turck – Jun 28, 2018 – Just as last year, the data tech ecosystem has continued to “fire on all cylinders”. If nothing else, data is probably even more front and center in 2018, in both business and personal conversations. Read article
- World Economic Forum on Thursday announced its selection of the world’s 61 most promising Technology Pioneers 2018, the most diverse class of such pioneers ever
- Companies were selected for their potential to “transform society and industry” and “shape the Fourth Industrial Revolution,” Fulvia Montresor of the World Economic Forum said
- Gamalon’s Idea Learning technology, which empowers enterprises to read, understand and interact with billions of customer messages, made it to the selection for its contributions in the field of artificial intelligence
- The full list of recognized Technology Pioneers can be viewed here
Cambridge MA – June 21st, 2018 – Gamalon, creator of next-generation artificial intelligence technology for natural language, was selected as one of the World Economic Forum’s Technology Pioneers, a group of the world’s most innovative companies. Using Gamalon’s Idea Learning AI platform, enterprises can listen, learn and respond to customer messages at scale. Gamalon enables simultaneous, one-on-one personal conversations with millions of people. Read more
The World Economic Forum’s Technology Pioneers community are early-stage companies from around the world that are involved in the design, development and deployment of new technologies and innovations, and are poised to have a significant impact on business and society. The 61 technology pioneers that made it to the final selection are active in artificial intelligence, augmented reality, autonomous vehicles, biotechnology, blockchain, cybersecurity, the internet of things, and other pioneering technologies.
“It’s an honor to have Gamalon named as a Technology Pioneer by the World Economic Forum,” said founder and CEO Ben Vigoda. “Gamalon’s mission is to accelerate human understanding by combining human and machine learning. The fundamental problem we’re tackling is to enable humans to teach machines and learn from them through an exchange of ideas rather than just data. This recognition inspires us to continue to innovate and solve this problem.”
“We welcome Gamalon in this diverse group of technology pioneers,” says Fulvia Montresor, Head of Technology Pioneers at the World Economic Forum. “Gamalon and its fellow pioneers are front and centre in shaping the ongoing Fourth Industrial Revolution and we believe they will be transforming society and industry in a positive way in the years to come.”
The Technology Pioneers were selected by a selection committee of more than 60 academics, entrepreneurs, venture capitalists and corporate executives. The committee based its decisions on criteria including innovation, potential impact and leadership. Past recipients include Airbnb, Google, Kickstarter, Mozilla, Palantir Technologies, Spotify, TransferWise, Twitter and Wikimedia.
All info on this year’s Technology Pioneers can be found here: http://wef.ch/techpioneers18
More information on past winners can be found here.
Alex Woodie – Jun 6, 2018 – One startup working in this space is Gamalon. The Cambridge, Massachusetts company last month received $20 million in Series A funding led by Intel Capital to streamline the identification of ideas from large amounts of data. Read article
Rob May – May 21, 2018 – This week I had the pleasure of interviewing Ben Vigoda from Gamalon. The company recently closed a Series A financing and has been one of the most forward thinking AI companies around. Ben was the guy who introduced me to the concept of probabilistic programming when we met a couple of years ago, and Gamalon is one of the few startups taking such an approach. Read article
Will Knight – May 8, 2018 – An approach to artificial intelligence that embraces uncertainty and ambiguity could paradoxically help make future virtual assistants less confused. Gamalon, an AI startup based in Cambridge, Massachusetts, developed the new technique for teaching machines to handle language, and several businesses are now testing a chatbot platform that uses it Read article
Jeff Engel – May 9, 2018 – Gamalon, a startup that says it has developed artificial intelligence-like software that avoids some of the drawbacks of popular machine learning techniques, has received a big endorsement of its approach. On Tuesday, the Cambridge, MA-based company announced a $20 million Series A funding round led by Intel Capital. Read article
Intel leads $20 million investment in Gamalon to help companies interpret customer messages through natural language processing
Paul Sawers – May 8, 2018 – Data is often said to be the “new currency,” as it can serve significant value when companies unlock the arsenal of qualitative and quantitative information that they generate. But sifting through the noise and making sense of unstructured data is a challenge, which is where automation and artificial intelligence could help. Read article
Bernadette Esposito – Feb 23, 2017 – Ben Vigoda, the founder and CEO of a new startup, Gamalon, Inc., has created a technology that has automated the process of model writing, transforming the technology from a tool for data scientists into a full fledged machine learning technology that learns from data, by itself. Read article
Ron Miller – May 8, 2018 – Gamalon wants to change the game when it comes to understanding text-based customer communications. Instead of using neural networks to learn about a vast corpus of information, the startup takes a different approach, putting the text in a database and building decision trees to very rapidly train the data to arrive at the required information. Today, it announced a $20 million Series A investment led by Intel Capital. Read article
First application of technology enables enterprises to read, understand, and interact with billions of customer messages and provide individual responses
Cambridge MA – May 8th, 2018 – Gamalon today announced the first artificial intelligence system that can process natural language and then explain what ideas are present and how they are organized. Using Gamalon’s Idea Learning® technology, one person or a small group can understand what millions of people or customers are saying, and provide individualized responses and experiences. Read more
Existing “black box” machine learning approaches to natural language are able to summarize by extracting statistically significant text or to categorize by following human-categorized examples, but these systems have not been able to structure, organize, and assemble compositions of ideas and sentiments from text, and then communicate this learned structure of ideas to people.
“Gamalon’s mission is to accelerate human understanding by combining human and machine learning. It’s easy enough for a business analyst to get started providing return on investment right away. When Gamalon’s Idea Learning technology reads large amounts of text, and forms ideas, the AI becomes an extension of you — allowing you to read and respond to huge volumes of messages” said Ben Vigoda, Gamalon’s Founder and CEO. “In the hands of a data scientist Gamalon can also be a sophisticated machine learning tool to perform data prep on many different sources of unstructured enterprise natural language – you can set it up to populate a target table or schema from the text.”
This technology breakthrough has driven further investment. Gamalon raised a $20 million Series A funding with lead investor Intel Capital joined by .406 Ventures and Omidyar Technology Ventures. Existing investors Boston Seed Capital, Felicis Ventures and Rivas Capital also participated in the round. Other Gamalon investors include Andy Bechtolsheim, Steve Blank, Ivan Chong, Adam D’Angelo, Georges Harik, and Raymie Stata.
“The powerful advances we’re seeing in machine learning are being enabled by diversification of compute infrastructures and fueled by the fast-growing volumes of complex, free-form text,” said Naveen Rao, corporate vice president and general manager of the Artificial Intelligence Products Group at Intel Corporation. “We want enterprises of all levels of AI capability to take full advantage of this growing volume and complexity of data. We think Gamalon’s approach can help users better understand billions of customer communications, customize individual responses, and take action to better serve those customers.”
Gamalon is already used by Fortune 500 enterprises across automotive, finance, insurance, manufacturing and telecommunications to turn millions of free-form customer messages and communication, including survey, phone transcripts, and trouble tickets, into actionable data to improve customer experience and retention. Larry Locascio, Senior Manager of Global Client Services at Avaya, has deployed the Gamalon system to audit and analyze their reseller partners. “We had previously tried manual approaches that didn’t work very well and took a lot of time to complete. Gamalon’s approach gave us accurate data overnight. We’re now able to scale our audit process from 40 or 50 resellers once per year to 30 to 40 per quarter.”
.406 Ventures and Omidyar Technology Ventures were also excited to participate in the Series A. “Gamalon has built a platform based on fundamental breakthroughs in machine learning. Its system learns orders of magnitude faster than the state of the art approaches, is auditable and is easily extendable to specific domains. Gamalon takes advancements in the space to another level” said Todor Tashev, Managing Partner at Omidyar Technology Ventures. Graham Brooks, Partner at .406 Ventures added “Their revolutionary technology is reflected in their customer base. We were blown away by the caliber of company that has turned to Gamalon to power critical customer-facing systems and are excited to be partnering with them to drive rapid enterprise expansion.”
The infusion of capital brings the total investment in Gamalon to more than $32 million including the largest single investment by the US Government in next generation machine learning over the past five years. The funding will allow Gamalon to continue to invest in R&D and to expand sales and marketing efforts to the enterprise. Vigoda added “The Gamalon system will enable enterprises to improve customer experience and retention, and drive revenue by allowing enterprises to truly understand what their customers are saying and to take strategic action, as well as to immediately reply 1-to-1.”
Gamalon uses artificial intelligence to help companies drive action from the millions of customer communications they receive, improving customer experience and retention. Gamalon’s breakthrough platform represents the next wave in machine learning: teaching computers actual ideas. Unlike rules-based systems or deep learning techniques typical in most natural language solutions, Gamalon’s Idea Learning technology provides accurate, editable, and explainable processing of customer messages and other free-form data. Gamalon was founded in 2013 by Ben Vigoda, an MIT PhD with over 25 years of AI experience. Gamalon received the largest grant DARPA has ever given for development of next generation AI platforms and has been recognized by the MIT Technology Review as one of the “50 Smartest Companies” for 2017. Learn more by following @gamalon_inc or visiting www.gamalon.com.
About Intel Capital
Intel Capital invests in innovative startups targeting artificial intelligence, autonomous driving, workload accelerators, 5G connectivity, virtual reality and a wide range of other disruptive technologies. Since 1991, Intel Capital has invested US $12.3 billion in over 1,530 companies worldwide, and more than 660 portfolio companies have gone public or been acquired. Intel Capital curates thousands of business development introductions each year between its portfolio companies and the Global 2000. For more information on what makes Intel Capital one of the world’s most powerful venture capital firms, visit www.intelcapital.com or follow @Intelcapital.
About .406 Ventures
.406 Ventures is an early stage technology venture capital firm investing in enterprise technology companies founded by visionary entrepreneurs. With just over $650M under management, the .406 Ventures team is comprised of entrepreneurs and operators who became investors to apply real world experience and strong company-building skills to create value for entrepreneurs and LPs. The firm leads first institutional investment rounds in market-changing IT Security, HealthIT, Data/Analytics and Cloud Infrastructure companies led by world-class operators, who move quickly and embody successful entrepreneurial DNA with their passion, creativity and endurance. For more information, please visit www.406ventures.com.
About Omidyar Technology Ventures
Omidyar Technology Ventures (OTV) is a Silicon Valley-based venture capital firm created and solely funded by eBay founder, technologist, and philanthropist Pierre Omidyar. OTV looks to partner with founders pursuing big, bold and transformative ideas. The firm invests in early and growth-stage technology companies in enterprise software, AI & big data, consumer services and marketplaces. For more information, please visit www.omidyarventures.com or follow us at @OmidyarVentures.
O'Reilly AI Series – Jul 10, 2017 – Ben Vigoda, Gamalon's CEO, was recently featured in the O'Reilly AI series. In this talk, he explains Idea Learning, and how it enables next-generation AI in digital assistants, customer and product data, and more. Read article
Charlie Wood – Feb 16, 2017 – What if programs could take common sense suggestions from people, instead of relying blindly on data? What if machines could act more like humans, jumping to conclusions after just a few observations? Read article
John Mannes – Feb 14, 2017 – It’s hard to fathom that the work of Reverend Thomas Bayes is still coming back to drive cutting edge advancements in AI, but that’s exactly what’s happening. DARPA-backed Gamalon is the latest carrier of the Bayesian baton... Read article
Will Knight – Feb 14, 2017 – Gamalon has developed a technique that lets machines learn from a lot less data, while using less computer power. Machine learning is becoming extremely powerful but it requires extreme amounts of data... Read article
Cade Metz – Feb 14, 2017 – Probabilistic programming lets researchers build machine learning algorithms more like coders build computer programs. But the real power of the technique lies in its ability to deal with uncertainty. Read article
Aaron Tilley – Feb 14, 2017 – The entire tech industry has fallen hard for a branch of artificial intelligence called deep learning. Also known as deep neural networks, the AI involves throwing massive amounts of data at a neural network to train... Read article
James Walker – Feb 14, 2017 – An artificial intelligence has successfully learned how to write and rewrite its own code, opening the door to more advanced robots and automation in the future. It could enable AI to understand new environments and adapt to different tasks more quickly... Read article
Christina Cardoza – Feb 15, 2017 – A newly announced startup believes it has come up with a new way to accelerate machine learning. Gamalon has emerged from stealth mode with its Bayesian Program Synthesis (BPS) technology... Read article
Michael Feldman – Feb 15, 2017 – Gamalon Inc, emerged from stealth mode this week, announced two machine learning products, based on an in-house technology known as Bayesian Program Synthesis (BPS)... Read article
Kevin Parrish – Feb 14, 2017 – Gamalon's new deep learning technology should increase how fast artificial intelligence can learn, providing time-saving applications... Read article
Brandon Butler – Feb 15, 2017 – Gamalon is a Cambridge, MA-based startup that has received $7.7 million from DARPA to create an advanced machine learning and artificial intelligence platform that the company says is more time and computationally efficient than others on the market. Read article
Dom Galeon – Feb 16, 2017 – A company has developed a type of technology that allows a machine to effectively learn from fewer examples and refine its knowledge as further examples are provided. This technology could be applied to everything from teaching a smartphone to recognize a user's preferences to helping autonomous driving systems quickly identify obstacles... Read article
Aditya Tiwari – Feb 17, 2017 – A Massachusetts-based company Gamalon, Inc. has come up with a new tech called Bayesian Program Synthesis (BPS). It is based on probability and can be used to train an AI system with the least possible examples. Gamalon has demonstrated that their system has performed better... Read article
Press Release: Gamalon Invents and Commercializes Radical New Approach to AI; Accelerating Machine Learning by More Than 100x
Cambridge, Mass. – Feb 14, 2017 – Today, Gamalon, Inc., emerged from stealth mode to announce that it has developed a game-changing new approach to artificial intelligence/machine learning called Bayesian Program Synthesis (BPS). Gamalon’s BPS technology – for the first time – writes and rewrites its own Bayesian programs. This technology achieves higher accuracy and uses orders of magnitude less computation and training data relative to today’s state-of-the-art deep machine learning. Read more
Using BPS, Gamalon is announcing the alpha launch of its first commercial application of this technology, Gamalon Structure and Gamalon Match. Gamalon Structure converts streams of text paragraphs found in databases or documents, into clean, structured data rows ready for use in the enterprise. Gamalon Match can then de-duplicate/link these data rows.
Gamalon’s pre-alpha customers are already using the product to accomplish in minutes with twice the accuracy what previously took large teams of people months or even years. The process of generating these results was observed and verified by an independent third party, Galois, Inc.
“We have one customer that, every year, spent nine months and four million dollars to structure and match their data,” said Gamalon’s founder and CEO, Ben Vigoda. “In contrast, Gamalon was able to perform the same task in minutes with twice the accuracy. Almost every enterprise that we talk to has large quantities of unstructured text data that they are currently unable to use, so we are very excited to see where this first product can take us.”
Gamalon is the largest single investment by DARPA in probabilistic programming for advancing machine learning, with approximately $7.7 million in government R&D contracts. Gamalon also recently raised a $4.45 million Series Seed venture capital round including industry luminaries Adam D’Angelo, Andy Bechtolsheim, Steve Blank, Ivan Chong, and Georges Harik, led by Aydin Senkut and Niki Pezeshki at Felicis Ventures, and including Nicole Stata and Raymie Stata at Boston Seed Capital, Matt Sutton, and Carlos Gonzalez at Rivas Capital. Gamalon has also been identified by the Massachusetts Institute of Technology as one of twenty-five MIT STEX25 startups.
The Gamalon Structure and Gamalon Match services are now available to select customers as API’s integrated with the Amazon, Microsoft, and Google Cloud platforms.
About Gamalon, Inc.
Gamalon, Inc. is a technology startup located in Cambridge, Mass., developing Bayesian Program Synthesis (BPS) technology – a radical new approach to AI that accelerates machine learning by more than 100x. BPS is being commercialized in Gamalon Structure and Gamalon Match. In 2013, Gamalon was awarded the largest single investment by DARPA in next generation machine learning and AI and is an MIT STEX25 startup. Gamalon is lead by Ben Vigoda, co-founder and former CEO of Lyric Semiconductor, which pioneered the probability processor and was acquired by Analog Devices. More information is available at newgamalon.staging.wpengine.com.
Cade Metz – Feb 3, 2017 – Neural networks are all the rage in Silicon Valley, infusing so many internet services with so many forms of artificial intelligence. But as good as they may be at recognizing cats in your online photos, AI researchers know that neural networks are still quite flawed... Read article
Ash Egan – Dec 22, 2016 – As the technology stands today, computers cannot replace humans. But, machines are analyzing pictures and text in multiple layers, and therefore dramatically automating tasks... Read article
Oct 13, 2016 – We are honored to have been selected as one of the first cohort of MIT STEX25 startups! MIT STEXT25 companies are:
technology-based startups with a connection to MIT… that have been identified as particularly well-suited for industry collaboration. These young, vibrant companies have proved themselves with early use cases, clients, demos, or partnerships, and may be on the cusp of significant growth.
Bill Fleming – Oct 1, 2016 – From speech recognition on smart phones to toothbrushes that learn the shape of your mouth to improve brushing, technology is being programmed to adapt to and improve how we go about our daily lives. On Sept. 29, 2016, Fidelity Labs hosted TEDxBoston 2016, which was focused on AI and ML. Invited guests heard speakers talk about the impact that machine intelligence has... Read article
Dan Woods – Sep 16, 2016 – The most promising technology for early adopters is probabilistic programming. This approach to AI ... doesn’t require huge volumes of data. It works on medium data, as Eggers put it. Benjamin Vigoda of Gamalon presented on how to use this technique for business apps... Read article