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Openstream, LinguaSys Agreement Announced at Intelligent Assistants Conference

Two participants in Opus Research’s Intelligent Assistants Conference took the opportunity to announce a partnership that could profoundly improve the rate at which enterprise virtual assistants propagate in corporate settings. Openstream, a technology specialist founded in 1997, agreed to integrate language-neutral, natural language processing resources from Linguasys into implementations of EVA (Openstream’s enterprise virtual assistant). As a result, employees who turn to EVA to help organize their working life, will find it quick to learn and understand what they say, text or type, even if they’re are engaged in a conversation that spans multiple languages.

EVA is a mobile (rather multimodal) platform that simplifies delivery of apps and content within a business organization. At the highest level, it is the ultimate solution to every large company’s “bring-your-own-device” headaches because it creates a mobile portal (or rather a dashboard) through which each individual can gain access to the information (calendar, contacts, documents), applications and messaging resources by using the method that comes most naturally: voice, tapping, gesture or typing. It has hundreds of thousands of end-users at a broad spectrum of companies, including Thomson-Reuters, Walmart, BNY-Mellon, Novatis and others.

Linguasys has evolved into a provider of technologies that use semantic processing to understand each individual intent. Its most distinguishing aspect is that it is “language neutral,” meaning that once its engine has derived meaning from some input, it can render a response in 17 other languages. It is adding new languages, organically, as the market demands. Openstream expects the addition of Linguasys’ capabilities to reduce the time, effort and frustration involved in accessing enterprise resources from mobile devices. Together they will explore and implement solutions that include multilingual text analysis, sentiment analytics and fast, cost-effective natural language user interfaces.

Mass deployment of EVAs is provocative at a time when both CIOs (chief information officers) and CSOs (chief security officers) are finding it difficult to keep up with the plethora of highly personal devices and applications (not to mention operating systems and utilities) that employees “bring inside the firewall.” Much is made of the security dilemma this gives rise to, but not as much attention has been paid to the quality of each user’s experience as they succeed in making their favorite device into their “work machine.”

The idea of transforming a personal tablet, smartphone or phablet into an employee’s virtual assistant is provocative and it paves the way for IT departments and individual users to find common ground as new apps and combination of apps are delivered through a natural interface.

…and now (as Linguasys co-founder Brian Garr would say) “you get 16 more languages for free.”

Openstream Integrates LinguaSys Natural Language User Interfaces Into Its Enterprise Virtual Assistant Platform

LinguaSys Provides Fast, Cost-Effective Multilingual

Natural Language User Interfaces to

Openstream’s Intelligent Multimodal Mobile Virtual Assistant

Boca Raton, FL, September 16, 2014 – Openstream has signed with LinguaSys to deliver multilingual Natural Language Understanding solutions for Openstream’s multimodal Enterprise Virtual Assistant (EVA) platform for its ISVs ,VARs, niche tech providers and call centers. EVA makes information available to users across text, chat, social media, instant messaging, calendar and email from one single intuitive dashboard on mobile devices, smartphones or tablets without having to download silo’ed applications for individual functions.

Openstream will be extending its EVA platform to include natural language voice and text interactions, so all EVA applications will have Natural Language User Interface capabilities. The first implementation will be for an EVA offering with one of the world’s largest providers of CRM software.

“We’re excited to be working with Openstream and to add even more value to their world-class context-aware multimodal mobile solutions,” said Brian Garr, CEO of LinguaSys. “Our natural language user interface technologies are changing the way enterprises and application providers are thinking because we offer superior products at a fraction of the cost and time it takes for our competitors to launch.”

“Integrating Natural Language Processing with our EVA platform greatly enhances its intuitive interface, freeing our users from having to deal with hierarchical menus and options and use natural conversational interface,” said Balaji Narayana, Director of Operations of Openstream.

LinguaSys provides proprietary multilingual human language technology solutions, available in over 18 languages, to one of the largest mutual fund companies in the world; one of the largest multinational deposit banks; one of the world’s largest hotel chains; a major U.S. mobile network operator; and federal government agencies, among many others.

With over one million users, Openstream innovates intuitive open standards-based technologies that change the way users interact with mobile devices and applications. Openstream enables enterprises & ISVs to rapidly develop, deploy and manage end-to-end secure, highly scalable mobile solutions. Openstream engages the complete mobile ecosystem, from enterprises, wireless carriers, device manufacturers and mobile value added service companies.

About Openstream
Openstream is a leading provider of Proactive, Context-aware Multimodal Mobile Virtual Assistant Platform (EVA) for Enterprises & Content Providers. EVA is a new way of delivering Apps and Content for the Engaging Enterprise, that addresses many of the key requirements & challenges of Lines Of Business and IT teams in implementing mobile solutions. EVA improves the user-engagement and experience by adapting to the users’ preferences & priorities in delivering an “in-the-moment” personalized mobile experience – reducing the effects of information overload and data chaos. @openstreaminc

About LinguaSys, Inc.
LinguaSys solves human language challenges in Big Data and social media for blue chip clients around the world. Its natural language processing software provides real time multilingual text analysis, sentiment analytics and fast, cost-effective natural language user interfaces. The solutions are powered by LinguaSys’ Carabao Linguistic Virtual Machine™, a proprietary interlingual technology, to deliver faster and more accurate results. Designed to be easily customized by clients, the solutions can be used via SaaS or behind the firewall. Headquartered in Boca Raton, FL, LinguaSys is an IBM Business Partner. @LinguaSys


Brian Garr
CEO, LinguaSys
+1 561-755-7150

Openstream Inc.
+1 732-507-7030

Call Center and CRM Best Practices SpeechTEK/CRM Evolution/Customer Service Experience Review, Part 2


Posted By Sheri Greenhaus Wednesday, August 27, 2014

LinguaSys has built on its core competency of Natural Language Processing. The international provider of Man/Machine Conversational Interfaces has taken a different direction in developing its natural language interface (NLUI) customer service solutions. “Most companies in this discipline still employ a systems and statistical approach,” said Brian Garr, CEO of LinguaSys. “They operate on the statistical probability that any given three words will go together. We take it from a semantic and syntactical perspective. We’ve created a network map that allows us to quickly and comprehensively understand phrases in 20 different languages using what we call ‘Concept IDs.’  We assign a proprietary numerical identifier to words that allow us call them up instantly in context in any of the languages in which we translate.  For example, we can differentiate between all of the various meanings of the word “tank” … an armored vehicle, an object for holding liquids or gases, or even the colloquial verb for deliberately failing in an endeavor.”

LinguaSys’ NLP applications are based on the linguistic concept of hyponyms- a word or phrase whose semantic field is contained within another word, its hypernym.  A hyponym shares a type-of relationship with its hypernym. For example, “dachshund”, “pug”, “beagle” and “poodle” are all hyponyms of “dog” (their hypernym) which in turn is a hyponym of “animal.” When LinguaSys analyzes all the words in a sentence, the semantic and syntactical elements instantaneously “vote” on meanings.

LinguaSys supplies Natural Language User Interface (NLUI) solutions for customer self-service that make it easy for customers to open an account, book a hotel room, order fast food, inquire about timetables, and more – all in their own words, not restricted to a rigid syntax. “When people hear about what we do, some tend to think of it as a variation of “Siri,” said Garr. “Our NLUI server takes building natural language applications to a new level.”  Alluding to research that indicates that the NLP market will grow to $2.19 billion over the next few years; he sees significant growth on the horizon.

LinguaSys NLUI applications can be deployed on-premise or on a SaaS subscription basis. The company is currently working with 16 OEM customers and is engaged in several applications with US government groups. The company recently added three new salespeople and brought industry veteran Denny Adams on board as Director of OEM Sales.  Adams had most recently served as Aspect/Voxeo’s Director of Alliances. LinguaSys is also partially owned by renowned entrepreneur Mark Cuban, who responded to a blind email by Garr that outlined the company’s capabilities and aspirations.  



LinguaSys – Helping Intelligent Assistants Understand Us

Virtual Agent Chat

Intelligent Virtual Agent and Intelligent Personal Assistant News and Views

By Amy Stapleton

August 26, 2014

At the recent SpeechTEK 2014 event, I had an opportunity to speak with Brian Garr, Chief Executive Officer of LinguaSys, a very interesting company in the Natural Language Understanding space. The prevalence of speech-enabled applications and devices has increased exponentially in the past five years. We can talk to our smartphones, our cars, and even our home appliances. Soon we’ll be conversing with social robots like Ubi and Jibo. Speech recognition technology has made vast improvements over the years. We’re also used to typing in text when we want a search engine, an app, or an intelligent assistant to answer a question or help us complete a transaction. But what about natural language understanding technology? All of this incoming language, whether it be spoken or typed, has to be interpreted and understood before we can get back the answers we need.

LinguaSysOur intelligent assistants seem to understand us pretty well when we ask simple questions about the weather or fact-based questions like “what’s the capital of Wyoming?” But can they understand more complex statements? And can they understand them when we use different languages? LinguaSys is a niche player with a unique and very powerful offering that can make intelligent assistants smarter at understanding what we say. In fact, the LinguaSys technology powers many of the smart applications we use today that involve natural language input.

In talking with Garr about the LinguaSys technology, I learned that they have the keys to a veritable gold mine. The gold mine is a proprietary treasure trove of word meanings and semantic relationships that spans thousands of concepts and over 18 languages. The LinguaSys semantic network was built up over years, during which it offered machine translation software. The company’s products still include machine translation, but the same basic technology now enables the seamless translation and understanding of a huge range of possible conversational inputs. How does this work? In the LinguaSys database, word meanings, concepts, and relationships are stored in language neutral, symbolic format. That means the word “rainbow” has the same symbol no matter if the concept is uttered in Japanese, Urdu, or English.

The use case example that Garr used during our discussions was of someone wanting to make a reservation at a hotel that would also accommodate their poodle. A speech recognition engine can probably do a good job at translating the sounds into the right words. But what are the chances that it’ll know that a poodle is dog, which is a domesticated animal, also known as a pet? This type of conceptual understanding is embedded in the LinguaSys system. It would take a monumental amount of work to establish your own comprehensive semantic model to enable you to extract this type of understanding. You might be able to leverage something like Freebase for some applications. But then what happens when you need to start supporting other languages?

The Carabao Linguistic Virtual Machine, as the product offering is called, can basically be plugged into your application to give it an NLU boost. If you leverage the Carabao Linguistic VM for your hotel booking or general reservation system, the system will understand that when someone refers to their poodle, they’re looking for a pet-friendly accommodation.

Garr refers to the LinguaSys products as middleware. You can access the solution via the cloud or from your own on-premise deployment. Based on my understanding of the product set, they can be readily integrated into new or existing applications using industry standard protocols.

I don’t know what the pricing model is for access to the LinguaSys middleware. The solution may not be affordable for smaller companies or independent botmaster types, but I don’t know that for sure. If your product or technology depends on being able to correctly understand language input, and especially if you’re challenged with accepting input in multiple languages, this is a product you’ll likely want to explore.


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