Press Releases

Frost & Sullivan Applauds Pelican for its Artificial Intelligence-powered End-to-end Payment Solution

LONDON, June 21, 2017 /PRNewswire/ — Based on its recent analysis of the global payments life cycle market, Frost & Sullivan recognizes Pelican with the 2017 Global New Product Innovation Award. Pelican is strategically tapping the abundant opportunities in the evolving payment ecosystem with its artificial intelligence (AI)-enabled, end-to-end payment solution. The platform boasts a high-end, configurable user interface that can be adapted to different scenarios for fraud monitoring and offers both mobile and tablet support. The rich technology, along with a flexible business approach and constant improvements to the solution, gives Pelican a distinct edge in the payments arena.

Pelican Receives 2017 Global Payments Life Cycle New Product Innovation Award

Pelican’s platform is format-agnostic and can process many types of digital transaction file formats. As it is based on a robust architecture that supports updates and process improvements, it can be easily integrated into legacy systems. Furthermore, its ability to handle a large number of digital payment transactions in real time has made it attractive to major financial institutions and payment networks such as the Germany-based Commerzbank and the US-based Union Bank.

“Pelican is one of the first companies to incorporate AI mechanisms in the end-to-end payment process. It has included natural language processing, a knowledge-based system, and machine learning algorithms to strengthen fraud detection and better align with global regulations,” said Frost & Sullivan Jean-Noël Georges, Global Program Director. “This smart approach positions Pelican as a visionary developer of fraud detection and anti money laundering solutions.”

Pelican’s fraud prevention solution safeguards payments transmitted over multiple networks including SWIFT’s, a global provider of secure financial messaging services for more than 11,000 financial institutions in more than 200 countries. The company has achieved a number of major certifications and accreditations from various regulatory bodies. More specifically, SWIFT certified Pelican as a trusted third party, and the company earned further accreditations from TRUSTe and ISO 27001 (information security management system standard).

“Pelican’s AI-based platform manages multi channels and protocols in real time and shortens response time, improves the quality of fraud detection and better anticipates new threats,” noted George. “By being format agnostic, it can process all existing and future sources of digital payment data. It also employs AI algorithms to reduce false positive rates (FPRs) by 72%, in turn, lowering the need for human intervention and ensuring that payment processes are made in near real-time.”

Pelican’s platforms can be deployed on-premise, or provided as a secure cloud-based service that creates a more flexible pricing structure for the client. Its customer-focused product development efforts and foresight in incorporating AI in the product design have placed it among the top contenders in the market and positioned it for rapid growth.

Each year, Frost & Sullivan presents this award to the company that has developed an innovative element in a product by leverage leading-edge technologies. The award recognizes the value-added features/benefits of the product and the increased ROI it gives customers, which in turn raises customer acquisition and overall market penetration potential.

Frost & Sullivan Best Practices awards recognize companies in a variety of regional and global markets for demonstrating outstanding achievement and superior performance in areas such as leadership, technological innovation, customer service, and strategic product development. Industry analysts compare market participants and measure performance through in-depth interviews, analysis, and extensive secondary research to identify best practices in the industry.

About Pelican

Pelican provides banks and corporates with solutions that enhance, streamline and secure the payments life-cycle. With over twenty years of expertise in the practical application of Artificial Intelligence technology to payments and compliance, Pelican partners with its customers to deliver innovative and agile solutions and drive growth. To date, Pelican has enabled outstanding efficiency benefits and increase speed to market for customers in over 55 countries, processing more than one billion transactions worth over US$5 trillion. Pelican is a global company with offices in New York, London, Dubai and Mumbai.

About Frost & Sullivan

Frost & Sullivan, the Growth Partnership Company, works in collaboration with clients to leverage visionary innovation that addresses the global challenges and related growth opportunities that will make or break today’s market participants. For more than 50 years, we have been developing growth strategies for the global 1000, emerging businesses, the public sector, and the investment community. Contact us: Start the discussion.


Chiara Carella
P: +44 (0) 207.343.8314
F: 210.348.1003


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SOURCE Frost & Sullivan

The GeekPwn 2017 Carnival Offers Prize of 5 Million RMB with new AI Security Session

SHANGHAI, June 20, 2017 /PRNewswire/ — Global security experts are invited to participate the GeekPwn 2017 Carnival in Silicon Valley (US) and Shanghai (China) starting from October 24. GeekPwn, the first worldwide security geek contest for smart life, offers 5 million RMB as prize pool for successful “PWNing” with talent, break-limitation minds and codes.

GeekPwn, a stage for white-hat hackers “PWNing ” smart devices, finding and fixing system vulnerabilities and protecting smart life, set a special AI (artificial intelligence) Security session for the first time in 2017. It includes AI PWN and PWN AI submissions, which finally improve people’s smart life in the AI age.

AI Security Becomes a Necessity

After noticing AI security issues, GeekPwn encourages contestants to test and improve AI’s mechanism on security and analysis, which finally ensures AI’s development in a healthy and sustainable way.

It brings lots of uncertainty and concerns of human being’s future if AI is maliciously controlled and mislead. For example, some products were mislead and cheated recently on picture recognition and classification, which was used by Internet crimes to spread violent, porn and terrorism pictures online.

GeekPwn has started research on “antagonistic machining learning practice” and recruited and touched top-level AI security talents since the end of 2015, when AI-related risks were exposed initially. During the GeekPwn 2016 Silicon Valley session, OpenAI scientist Ian Goodfellow, the inventor of GAN, shared the latest achievement the “antagonistic imaging” can cheat AI easily on picture recognition in the real world. The fact of that AI can be cheated triggered GeekPwn’s attention, because AI’s error and imperfection become loopholes used by hackers.


The special AI Security session includes two types of submissions as PWN AI and AI PWN.

PWN AI exploits vulnerabilities in the AI systems to make them stop working or make wrong decisions, covering all public AI services, products, libraries and frameworks. The target areas include computer vision, voice recognition, natural language processing, autonomous driving, malware detection and etc. For example, hackers with PWN AI are able to use any faces to unlock a phone with facial recognition and exploit vulnerabilities in autonomous driving system and make the system unable to detect some specific obstacles.

AI PWN takes AI, such as algorisms in computer vision, voice recognition, natural language processing, autonomous driving, etc., as primary or assistant tool in hacking/PWNing targets. For example, AI PWN includes using AI for speech synthesis to simulate the target people’s voice and pass target authentication system with high probability; using AI to determine the hand actions from video clips to identify the password input with high correct recognition rate and using AI to identify complex machine codes with high correct recognition rate.

“PWN Everything” to Protect the World

Besides the new AI Security Session, GeekPwn continues its DNA of “PWN Everything” as setting no limit on PWN targets. Smart devices, IoT (Internet of Things) products in public markets are all acceptable PWN targets. Contestants can PWN all pubic devices, through getting system control, accessing private data or breaking through original security mechanisms in reasonable attack conditions.

Unlock smart phones with noses, remote hijack any one of the world’s communications and find the backbone of network equipment vulnerabilities that impact hundreds of millions of Internet users – those PWNing cases already existed in the previous GeekPwn events. GeekPwn offers white hat hackers and top security experts a unique stage to break the limitation of minds and show great power. Besides showing talent, white hat hackers in fact help several hundred firms to fix security loopholes and vulnerabilities, which finally brings safer smart life.



For all public AI Services, Products, Libraries, Frameworks, if you can exploit vulnerabilities to make the AI system or component stop working, or lead the AI system or component make wrong decisions, please register. The target areas include Computer Vision, Voice Recognition, Natural Language Processing, Autonomous Driving, Malware Detection, etc. The target AI frameworks include mainstream frameworks like TensorFlow, TorchNet, Caffe, etc.


Use any face to unlock a phone with facial recognition.

Exploit vulnerabilities in autonomous driving system, make the system unable to detect some specific obstacles.

Exploit vulnerabilities in AI framework, make deployed AI system stop working in some specific situations.



Contestant takes AI (Various algorisms in Computer Vision, Voice Recognition, Natural Language Processing, Autonomous Driving, etc.) as primary or assistant method in hacking process to break the limit of target system. Therefore the original functions of target system stop working, or information leaked.


Using AI method for speech synthesis, simulate the target people’s voice and pass target authentication system with high probability.

Using AI method to determine the hand actions from video clips to identify the password input with high correct recognition rate.

Using AI method to identify complex CAPTCHA with high correct recognition rate.

About GeekPwn 2017

GeekPwn is an international security community focusing in smart life. GeekPwn is held by Keen every May 12th and Oct 24th to provide chances for security geeks to show their talents.

From IoT, Smart devices to AI services, any successful compromises of security restrictions have chances to be accepted. New match types, geek shows and PWN of AI are available on GeekPwn 2017 Carnival held in Silicon Valley (US) and Shanghai (China).

About GeekPwn lab

GeekPwn lab is the security research team of Keen Cloud Tech. The team focuses on helping worldwide leading software manufacturers, which have adopted advanced security engineering methodologies, to discover and fix security vulnerabilities. In the past years, GeekPwn lab has discovered and reported hundreds of high-risk vulnerabilities to Microsoft, Apple, Google, etc. GeekPwn lab is currently focusing on the security research of cloud computing security and mobile security.

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Deep Learning Market size is expected to reach USD 10.2 billion by 2025

LONDON, June 20, 2017  /PRNewswire/ — Highlights

·         The global deep learning market size is expected to reach USD 10.2 billion by 2025, according to a new report by Grand View Research, Inc.

·         Considerable improvements in machine learning algorithms and advancements in deep learning chipsets are driving the industry growth.

·         Rapid improvements in fast information storage capacity, high computing power, and parallelization have contributed to the swift uptake of the deep learning technology in end-use industries such as automotive and healthcare.

·         The increasing prominence of Graphics Processing Unit (GPU)-accelerated applications is leading to increased adoption of the technology in scientific disciplines such as deep learning and data science.

·         Organizations are utilizing deep learning neural networks to extract valuable insights from enormous amounts of data for providing innovative products and improving customer experience; thereby, increasing revenue opportunities.

·         The technology is expected to gain prominence among key players and researchers, owing to its use in improvising artificial intelligence capabilities in Natural Language Processing (NLP), image & speech recognition, and computer vision areas.

The global deep learning market size is expected to reach USD 10.2 billion by 2025, according to a new report by Grand View Research, Inc. Considerable improvements in machine learning algorithms and advancements in deep learning chipsets are driving the industry growth.

Rapid improvements in fast information storage capacity, high computing power, and parallelization have contributed to the swift uptake of the deep learning technology in end-use industries such as automotive and healthcare. Further, the need for understanding and analyzing visual contents among enterprises in order to gain meaningful insights, is expected to provide traction to the industry over the forecast period.

The increasing prominence of Graphics Processing Unit (GPU)-accelerated applications is leading to increased adoption of the technology in scientific disciplines such as deep learning and data science. Organizations are utilizing deep learning neural networks to extract valuable insights from enormous amounts of data for providing innovative products and improving customer experience; thereby, increasing revenue opportunities.

The technology is expected to gain prominence among key players and researchers, owing to its use in improvising artificial intelligence capabilities in Natural Language Processing (NLP), image & speech recognition, and computer vision areas. Solution providers are resorting to partnerships and collaborations to enter the deep learning space. For instance, in January 2016, Movidius collaborated with Google, Inc. to enhance its deep learning capabilities on mobile devices. In September 2016, Intel Corporation announced the acquisition of Movidius for improvising its computer vision and deep learning solutions.

Further key findings from the report suggest:
• The hardware segment is expected to witness the fastest growth due to increased demand for high computing chipsets which are used to run deep learning algorithms
• The Field Programmable Gate Array (FPGA) segment is expected to witness considerable growth on account of its enhanced power efficiency and capability to bridge the GPU performance gap using multiple FPGAs
• The healthcare segment is anticipated to grow at a significant rate of over 55%, as the technology is outspreading the translational bioinformatics, medical imaging, and sensor-driven analysis
• The Asia Pacific deep learning market is expected to be the fastest-growing regional market due to increasing spending on artificial intelligence and cognitive computing technologies
• The key industry players include Intel Corporation, NVIDIA Corporation, IBM Corporation, and Microsoft Corporation
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Global Voice Assistant Speaker Market – Strategic Assessment and Forecast 2017-2022

NEW YORK, June 20, 2017 /PRNewswire/ — Global smart voice assistant speaker market is likely to grow at a CAGR of 43.68% in terms of shipment during 2016–2022

Smart Voice Assistant Speaker Market – Report Insights

A smart voice assistant speaker, which is also known as a voice-activated speaker or voice-controlled speaker or VPA-enabled speaker, is a smart device by which a user can control using its voice. The speaker uses artificial intelligence (AI) to play music, find information, and control other connected devices in the house. A smart voice assistant speaker makes use of voice assistant platforms such as Alexa by Amazon, Google Assistant by Google, Cortana by Microsoft, and other voice assistant platforms.

Scope of the Report

The report “Global Smart Voice Assistant Speaker Market – Strategic Assessment and Forecast 2017-2022”, considers the present scenario of the global smart voice assistant speaker market and its strategic assessment for the period 2017–2022. It includes a detailed study of growth drivers, trends, and restraints. The report also profiles the leading vendors in the market and other key vendors.

The report provides the analysis of key segments of the market in terms distribution channel, geography, and vendors. It provides a detailed analysis of the revenue from the following segments:
• Revenue
• Shipment

By Distribution Channels
1. Retail
• Mass Market Players
• Electronic Stores
2. Online stores

By Geography
North America
• RoW

The report includes leading trends, drivers, and restraints for each region.

Smart Voice Assistant Speaker Market – Market Size and Dynamics

Analysts at Beige Market Intelligence expect that the global smart voice assistant speaker market is likely to post a CAGR of 43.68% and 30.45% in terms of unit shipment and revenue, respectively during 2016–2022. The market growth is more profound in developed markets such as Western Europe and North America. Modern and fast-paced lifestyle in developed countries such as the US, Canada, the UK, and Germany has led to the consumption of products that offer ease-of-use and convenience. In such countries, the penetration of smart homes has also increased, driving the sale of smart devices.

Apart from an increasing demand from developed markets, factors such as the integration of voice assistance technology in household appliances and enhanced marketing and visibility of these products online have contributed to the growth of the market.

Furthermore, the online retail market for smart voice assistant speakers is particularly well-developed and is growing, with the presence of online retailers such as Amazon,, and eBay offering products from vendors.

Smart Voice Assistant Speaker Market – Trends, Drivers, and Restraints

Increasing popularity of voice-first technology, rising investment on IoT by vendors, and growing push for digital economy in developing economies are a few emerging trends described in the report. Further, the report includes a detailed study of emerging trends, factors driving the growth, and expected challenges of the market during the period 2017–2022. Similarly, increased instances of voice searches, penetration of broadband and internet connections, and increased adoption of smart homes are among the major factors that are expected to drive the growth of the global voice assistant speaker market. The report also includes Porter’s Five Forces analysis and its impact on the market.

Smart Voice Assistant Speaker Market – Geographical Analysis

The report includes the market analysis of different regions such as North America, Latin America, APAC, MEA, and Europe. It outlines the major market shareholders and the market size analysis of all regions. North America was the largest market for global smart voice assistant speaker, in 2016, both in terms of unit shipment and value. It is expected to remain the market leader in 2022. The US was the only market in North America where these devices were launched officially in May 2017. However, Google Home is set to release in the Canadian market in the second half of 2017. Europe can be termed as the second largest market after North America. Europe was led by Germany and the UK where Amazon launched Echo in September 2016. Connected devices are witnessing a high popularity in the European market, and smart voice assistant speakers are also gaining popularity. Europe is likely to account for a double-digit market share both in terms of revenue and unit shipment in 2022.

Smart Voice Assistant Speaker Market –Key Vendors and Market Share

The global smart voice assistant speaker market has high growth potential. Vendors are increasingly indulging in distribution and forming conglomerates to cash on several opportunities. The profitability potential is driving vendors to invest in the market. The report profiles major companies in the global market and provides the competitive landscape and market share of the leading players. It covers the entire market outlook regarding the value chain operating in the market.

• Alphabet (Google)
• Amazon

The other prominent vendors included in the report are Beijing LingLong, Fabriq, Jam Audio, HARMAN, Invoxia, Lenovo, Mattel, Mycroft, NVIDIA, Sony.

Other emerging vendors are Swan Solutions, Cubic Robotics, Silk Labs, Protonet, Interactive Voice, SPACO.

Why Should You Buy The Report?

The report provides answers to the following questions related to the global smart voice assistant speaker market.
1. What are the current changes witnessed by the market and how are they likely to impact the market landscape in the coming years?
2. What are the various factors that can affect the market over the next few years?
3. What are the major emerging trends and challenges for the market over the next five years?
4. What is the market size and market forecast for each product segment and end-user type?
5. Which region is expected to witness the highest market share and what are the factors driving the growth in that region?
6. What is the sale growth rate in key geographies?
7. Which are the major countries in terms of market size and market forecast?
8. Which are the key vendors in the market?
9. What are the main strategies implemented by the leading vendors to increase growth opportunities?
10. Which are the key emerging vendors in the market?

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Cocoon Cam Receives Two Prestigious Childcare Magazine Awards

MOUNTAIN VIEW, Calif., June 20, 2017 /PRNewswire/ — Cocoon Cam is honored to accept two important awards this month in the parenting and childcare industry. Baby Maternity Magazine and Creative Child Magazine, both highly respected in the baby product market, have each awarded the groundbreaking baby monitor company their top honors. 

Cocoon Cam has created the world’s first baby breathing monitor that uses computer vision and artificial intelligence to monitor a baby’s breathing without any wearables or anything touching the baby. Cocoon Cam lets parents monitor their baby’s breathing, sleep and activity at any time, from anywhere in the world through a smartphone application (iOS and Android). Unlike other baby health tracking technologies, Cocoon Cam is completely non-invasive and does not require any mattress pad, wearable electronics or pinging the baby with radar or sonar signals.

Each year, over 50 pregnant women, new moms and caregiver professionals are invited to review the latest and greatest products. Unlike most review programs, reviewers are asked to evaluate each product thoroughly. Winning a Baby Maternity Award illustrates the manufacturers’ dedication to their industry and serves as a testament to a great production.

Creative Child’s Awards Program takes a unique approach to reviewing products by having moms, music educators and early education professionals complete the reviews. Winning a Creative Child Award illustrates the manufacturers’ creativity, skill, and dedication to their craft and serves as a testament to great production.


Cocoon Cam is a Silicon Valley-based technology company using computer vision for remote health monitoring. The company’s first product is a category-defining baby monitor that detects a baby’s vitals purely by passively collecting a video feed from the baby monitor and analyzing the data in the cloud. Parents gain instant access, via their mobile devices, to longitudinal data and real-time alerts for metrics such as breathing, and with future releases, temperature fluctuations, heart rate and movement. Unlike competing technologies in the baby monitoring space, Cocoon Cam is completely non-invasive and requires no connected wires or wearables. Cocoon Cam has received the ‘Seal of Approval’ of the National Parenting Center, an R&D grant from the National Science Foundation and has completed IRB-approved research validation studies at UC San Diego and Lucile Packard Children’s Hospital Stanford.

For additional product and company information, please refer to


TechStuff Public Relations

Lisa Orman • 608-767-1102


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SOURCE Cocoon Cam

Metadata Awarded Patent for Targeted Demand Generation System

SAN FRANCISCO, June 20, 2017 /PRNewswire/ — Metadata (, the leader in intelligent B2B demand generation, has been awarded a patent for its methods that generate ideal, opt-in business leads using highly targeted advertising campaigns. The patent, US9665885B1, is the first awarded to Metadata, representing a significant milestone for the company.

Metadata was founded in 2015 with the mission to give businesses greater insights into their current prospects and easy to implement micro-targeting strategies for prospective new customers. Metadata’s patented methods were developed and refined from years of research, testing and hands-on engagements with B2B companies.  

“Today’s B2B marketers are continuously looking for new and better ways to reduce customer acquisition costs while increasing sales pipelines and customer conversion rates,” says Gil Allouche, CEO and Founder of Metadata. “Our platform delivers on this promise with its proven implementation of Account Based Marketing. This patent further strengthens our position as an innovation leader with one of the most advanced, effective and differentiated ABM solutions available on the market today.”

Metadata provides a unified and now patented solution for Account Based Marketing. Using machine learning and artificial intelligence, Metadata builds active personas by statistically analyzing qualified leads from the customer’s own CRM and marketing automation platforms while enriching that data with hundreds of third-party data signals. Lists of new look-alike prospects are generated by pulling matches from a database of hundreds of millions of business contacts built with data from partners including InsideView, HG Data, FullContact, Leadferret, Datanyze, Leadsift and others. The new qualified prospects are then matched with targeted and tested advertising campaigns on display and social channels, generating 100% opt-in leads with increases of 50% or more in lead to opportunity conversion.

About Metadata

Metadata provides a closed-loop Account Based Marketing solution that amplifies marketing campaigns with opt-in qualified leads. Metadata’s patented technology uses and enriches historical sales data, builds profiles of ideal customers (both company and persona) and then orchestrates the process of accelerating existing opportunities and targeting net new accounts. Metadata clients include Cisco, Mulesoft, Payscale, Infoblox and others.

Media Contact

Gil Allouche
Phone: 650.919.3131

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SOURCE Metadata, Inc.

Echelon InSight™ System Uses Artificial Intelligence to Collect Vehicle Traffic Data More Easily and at Lower Cost

SANTA CLARA, Calif., June 20, 2017 /PRNewswire/ — Internet of Things pioneer Echelon Corporation (NASDAQ: ELON) has completed initial field tests of another new application for its InSight Cognitive Vision System, this time validating the ability of the intelligent camera to accurately and inexpensively count traffic on city streets. In a deployment in Spokane, Washington, the new application captured data that matched or exceeded the accuracy of conventional and manual counters, day or night. The new streetlight-based system is less expensive and easier to deploy than conventional roadway surface-based counters, and because the system communicates over the existing lighting network, it can be deployed on any streetlight, not just those in intersections adjacent to traffic control boxes.

logo (PRNewsfoto/Echelon Corporation)

The InSight system deployed in Spokane included an adaptive learning capability to accommodate differences in each camera’s deployment for light levels, shadows, and reflections. “While there are many open source computer vision algorithms available today, most address one particular problem under a narrow set of conditions and are not effective for reliably addressing multiple real world issues,” said Sohrab Modi, Chief Technology Officer and Senior Vice President of Engineering, Echelon. “We developed this cognitive AI vision technology to enable a municipal streetlight system to host an increasingly broad array of smart city solutions.”  

Traffic counting is traditionally accomplished with pneumatic tubes temporarily laid across the roadway surface, or with inductive loops buried in the roadway, or with microwave radar transmitters.  Echelon’s new InSight application leverages access to the Echelon Lumewave lighting control network, allowing placement of the self-learning system on any streetlight instead.  Moving the traffic counter from the roadway surface to a streetlight simplifies deployment, and moves the sensor into a more versatile location. And by leveraging a city’s existing connected lighting platform, the traffic counting application based on Echelon’s InSight technology offers smart cities a lower cost alternative in managing energy use as well as a platform to broadly collect traffic data.

“We are encouraged by these field test results that demonstrate that InSight provides reliable traffic flow information directly into the street lighting process,” said Adam Miles, Associate Traffic Engineer, City of Spokane. “Over time, we believe the aggregated traffic data we collect will enable us to address resident and commuter needs in new ways we are just beginning to consider.”

“With the deployment of this new application, cities and campuses can begin to see how InSight will provide the foundation for a family of AI-based tools leveraging the omnipresence of street lights connected with Echelon technologies,” according to Echelon Chairman and CEO Ron Sege.  “Street lights are everywhere – these tools will take them from being simple re-implementations of 19th century gaslights, to the basis for providing advanced 21st century capabilities enhancing safety and quality of life for individuals and businesses, at a lower cost than today’s simple lights alone.”

About Echelon Corporation

For 25 years Echelon (NASDAQ: ELON) has pioneered the development of open-standard networking platforms for connecting, monitoring and controlling devices in commercial and industrial applications. With more than 110 million devices installed worldwide, Echelon’s proven, scalable solutions host a range of applications enabling customers to reduce energy and operational costs, improve safety and comfort, and create efficiencies through optimizing physical systems. Echelon is focusing today on two IoT (Internet of Things) market areas: Creating smart cities and smart enterprises through connected outdoor lighting systems, and enabling device makers to bring connected products to market faster via a range of IoT-optimized embedded systems. More information about Echelon can be found at

Echelon, the Echelon logo, Echelon InSight, and Lumewave by Echelon are trademarks of Echelon Corporation that may be registered in the United States and other countries. Other product or service names mentioned herein are the trademarks of their respective owners.

This press release may contain statements relating to future plans, events or performance. Such statements may involve risks and uncertainties, the risk that Echelon’s offerings by themselves or combined with other applications or offerings do not perform as designed or do not offer the expected benefits and savings; and other risks identified in Echelon’s SEC filings. Actual results, events and performance may differ materially. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. Echelon undertakes no obligation to release publicly the result of any revisions to these forward-looking statements that may be made to reflect events or circumstances after the date hereof or to reflect the occurrence of unanticipated events.

Lucie Mann
Echelon Corp.


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SOURCE Echelon Corporation

Chat with chirrp: Artificial Intelligence-based Conversation Platform Wins eMerge Americas’ Tech Startup Award

MIAMI, June 20, 2017 /PRNewswire/ — This year’s eMerge Americas Startup Showcase Early Stage Venture top prize was awarded to chirrp, Inc. for its innovative and dynamic AI-based conversation platform.

The annual eMerge Americas conference provides a platform for the advancement of technology, a forum for exchanging ideas, and a launch pad for innovation connecting Latin America, North America, and Europe. Chirrp was selected as the winner of the Early Stage Venture category by a panel of judges comprised of industry executives and venture capitalists, from a pool of nearly 200 entries for this year’s award.

Chirrp is a multichannel conversational platform that uses the power of artificial intelligence and machine learning to deliver engaging interactions to customers. Chirrp provides solutions to key challenges for enterprises such as building stronger brand loyalty, driving additional revenue through upselling, and capitalizing on predictive and prescriptive data. The platform reduces the costs of delivering customer service, support and communications, while increasing customer satisfaction and loyalty.

“Today’s customers don’t want to be tied up on a phone call or limited by restrictive business hours; they need answers anytime, anywhere,” says Mallesh Murugesan, co-founder and CEO of chirrp, Inc. “They are moving beyond email and web, adopting chat and voice technologies, and demonstrating a preference for convenient and relevant communications. Engaging consumers where they are now, via their preferred channel, should be a top priority for enterprises who want to build a loyal customer base and deliver compelling brand experiences. Our platform enables organizations to do just that,” continued Murugesan.

Murugesan along with COO Steven Yuan, came up with the idea for chirrp while working with IBM Watson® technology. They realized that the limitations of current communication tools could be addressed through a flexible, intelligent framework. Their concept resulted in, a sophisticated multichannel chatbot that uses machine learning and structured questioning to develop a personalized profile of each user, and continues to improve its understanding of each user, their attitudes, behaviors and needs, as they engage with the platform over time.

At the eMerge Americas conference, the chirrp team showcased the flexibility of the platform which can be used in any industry, from healthcare, financial services and tourism, to real estate, education, and government. Users can engage with the platform in their preferred channel such as Facebook Messenger, Amazon’s Alexa, Skype, Slack, or simple SMS. Murugesan expressed his passion about chirrp: “We are excited about the possibilities of chirrp’s platform. We believe that the more engaged your customers are, the better you can serve them and build brand retention and loyalty.”


Chirrp is a multichannel conversational platform that uses the power of artificial intelligence and machine learning to deliver engaging interactions to customers. Chirrp enables enterprises to rapidly build intelligent conversations from several data sources like web content, knowledge bases, policies and procedures, FAQs, etc. Through ongoing interaction, the platform develops a personalized profile of each user, which can be used to target engagement and increase customer loyalty. With application across industries, chirrp enables companies to cut costs while delivering compelling brand experiences.

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SOURCE chirrp, Inc.

DFS Lab Announces Investment in African Fintech Startups

SEATTLE, June 20, 2017 /PRNewswire/ — Digital Financial Services Lab (DFS Lab) today announced it would invest $250,000 in four separate fintech startups that are building products that help low-income consumers in developing markets. Inclusive (based in Ghana), Pula (based in Kenya), Pezesha, (based in Kenya), and Teller, (based in the United States), were each selected for financing after presenting their products at DFS Lab’s Fintech BootCamp in Sri Lanka earlier this year. DFS Lab, which is funded by the Bill and Melinda Gates Foundation, seeks to identify promising entrepreneurs and invest in companies that focus on consumers in Sub-Saharan Africa and Asia.

“We are excited to have the opportunity to invest in companies that are focusing on consumers in emerging markets,” said DFS Director Dr. Jake Kendall. “Expanding access to digital financial services – especially for unbanked populations – can transform people’s lives by providing them with money management tools that most of us take for granted. The companies we are investing in are creating cutting edge solutions that enable the delivery of financial services to low income people around the world — we look forward to working with them.”

Earlier this year, finalists representing nine companies from six countries (Canada, Ghana, India, Nigeria, Kenya, and the United States) went through an intensive 1-week bootcamp program to refine their solutions and present them to DFS Lab’s board of experts in Negombo, Sri Lanka. In addition to financing, the companies selected receive six months of intensive mentorship and integration into a global network of top experts who have agreed to advise them.

DFS Lab is investing in the following companies:

  • Inclusive: Inclusive, based in Ghana, is an API that verifies financial identities across Africa — even customers using non-smart phones. Financial institutions across Africa can plug Inclusive’s API into their digital channels to achieve seamless user onboarding, eliminate redundant identity checks, access quality and secured data sources, and improve fraud detection and investigation all while providing the highest level of security. The most innovative aspect of Inclusive’s approach is their goal to reach the lowest income populations, some of whom don’t even have formal ID.
  • Pula: Pula is an insurance intermediary that implements data driven agricultural insurance. Pula assists hundreds of thousands of small-scale farmers across 6 countries in Africa. Farmers are able to safeguard their crops and invest in their farms through financial tools that take advantage of the rising use of mobile technology.
  • Pezesha: Pezesha, based in Kenya, is Africa’s peer-to-business microlending marketplace, using analytics to match lenders with creditworthy low income micro businesses. The platform gives small business access to credit while generating strong returns to lenders.
  • Teller: Teller, based in the United States, is an artificial intelligence banking assistant that allows customers to communicate with banks through their favorite messaging platforms without needing to download a new app. Teller’s chatbot can answer hundreds of financial questions, as well as provide advice on saving, budgeting, improving one’s credit score, investing, and retirement. It also helps banks to automate the simple, repetitive questions that they receive, providing timely customer service.

About Digital Financial Services Innovation Lab
Digital Financial Services Innovation Lab (DFS Lab) is an early-stage incubator that supports high potential entrepreneurs refine, grow and launch FinTech businesses in developing countries. Focused on empowering communities in sub-Saharan Africa and South Asia, DFS Lab delivers mentorship and strategic advice to early-stage start-ups pioneering transformative technologies that empower the poorest, profitably and at scale.

It gives entrepreneurs access to extensive networks and relevant, world class advice on how to build successful ventures that change the way low-income consumers interact with digital financial services. Funded by a $4.8 million three year grant from the Bill and Melinda Gates Foundation, the initiative is housed at Caribou Digital, a specialist in building inclusive digital economies.

For more information please visit or follow us on Twitter @theDFSLab.

DFS Lab Media Contact:


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SOURCE Digital Financial Services

Soteria Intelligence Develops AI-Powered Counter-Terrorism Solution, Expands Focus on Marketing/PR Industry

LOS ANGELES, June 20, 2017 /PRNewswire/ — Soteria Intelligence is excited to announce that after four years of research and development the company’s proprietary artificial intelligence platform aimed at combating terrorism has come to life. Additionally, AI-powered social media intelligence solutions for brand reputation management and public relations are now available.

Soteria Intelligence

Soteria Intelligence set out to build revolutionary technologies with the power to counter evil by using a blend of machine learning, including image recognition and language processing, as well as proprietary historical data, algorithms, input from subject-matter experts, and more. The robust platform is one of many announcements the company will be making in the near future.

“A big focus for us was to approach counter-terrorism by looking at what people actually say or do that could be cause for concern instead of relying on basic metrics, such as combinations of keywords or simple searches that often result in profiling based on race, color, religion, etc.,” stated Aaron Schoenberger, Founder and CEO of Soteria Intelligence. The company realized AI was the only way to solve a big data problem of this kind, and to do so in an effective, non-biased manner with the ultimate goal of saving lives – all lives.

Soteria Intelligence has also used its social media expertise and artificial intelligence capabilities to create solutions specifically geared towards extracting actionable intelligence from social networks, which will empower organizations. Use cases range from detecting/countering emerging PR catastrophes to threats on social media that can disrupt operations, damage brand reputation or affect stock prices.

By tapping AI, Soteria Intelligence is able to cut through the noise, find needles in digital haystacks, and eliminate false positives, thus providing truly intelligent insights. For example, having the ability to automatically tell the difference between “I am going to bomb X after this croissant” versus “I had a bomb croissant at X.” Similar words, totally different meanings.

For more information on Soteria Intelligence’s solutions, please call (800) 217-8072 or visit the company website:

About Soteria Intelligence:
Soteria Intelligence is a social media analytics and artificial intelligence company based in Los Angeles, California that’s comprised of industry-recognized social media experts, technology pioneers, and retired personnel from both local and federal law enforcement agencies.


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SOURCE Soteria Intelligence