UltraSoC extends on-chip analytics architecture for the age of machine learning, artificial intelligence and parallel computing

Addresses complex multicore systems for automotive, storage, at-scale computing

CAMBRIDGE, UK – 15 February 2019 – UltraSoC today announced a significant extension of its embedded analytics architecture, allowing designers and innovators to incorporate powerful data-driven features into their products. Developers in the automotive, storage and high performance computing industries can now integrate even more sophisticated hardware-based security, safety and performance tuning capabilities within their products, as well as reaping substantial time-to-market and cost benefits of using UltraSoC in the system on chip (SoC) development cycle.

The new features allow SoC designers to build on-chip monitoring and analytics systems with up to 65,000 elements, allowing seamless support for systems with many thousands of processors. Future iterations will allow even higher numbers of processors for Exascale systems. In addition to this dramatically improved scaling capability, new System Memory Buffer (SMB) IP allows the embedded analytics infrastructure to handle the high volumes of data generated by multicore systems, and to cope with “bursty” real-world traffic.

The new UltraSoC architecture is capable of monitoring effectively unlimited numbers of the internal building blocks that make up the most complex SoC products – and to analyze the impact on system-level behavior of the interactions between them. Such heterogeneous multicore chips are becoming increasingly common, particularly in enabling the artificial intelligence and machine learning technologies required in leading edge applications such as driverless cars.

Dave Ditzel, Founder and CEO of Esperanto, commented: “Esperanto’s mission is to enable the most energy-efficient high-performance computing systems for artificial intelligence, machine learning and other emerging applications. That requires us to put over a thousand RISC-V processors and AI/ML accelerators on a single chip; UltraSoC’s ability to match that level of scaling with monitoring, analytics and debug capabilities is a vital enabler for our business.”

UltraSoC CEO, Rupert Baines, said: “Our solutions are unique in the market in their ability to deal with multiple heterogeneous processors, standard and proprietary bus structures and even custom logic. This dramatic extension of our architecture takes us even further ahead of traditional solutions – both in the debug and development arena, and in allowing our customers to incorporate in-life monitoring capabilities to ensure security, functional safety and real-world performance optimization.”

UltraSoC’s system-level monitoring and analytics capabilities extend beyond the chip’s core processing components to all parts of the system – which may include thousands of IP blocks and subsystems, buses, interconnects and software. The new features within the UltraSoC architecture allow chip designers to deploy tens of thousands of monitoring and analytics modules within a single infrastructure. By providing an integrated, coherent analysis of the behavior of the system, UltraSoC significantly reduces the development burden for next-generation machine learning and artificial intelligence applications, as well as allowing the implementation of innovative product features such as hardware-based security and functional safety.

Extension of the UltraSoC architecture to encompass effectively unlimited monitoring capabilities helps developers to address the problems of systemic complexity which are among the most pressing issues faced by the electronics industry today. In addition to the sheer size of modern SoCs, machine learning and artificial intelligence algorithms are often inherently non-deterministic: because they devise their own ways of solving problems by ‘learning’, it is impossible for the system’s original designer to predict how they will behave in the final application. In-life monitoring of the chip’s behavior is therefore the only way of getting a true picture of what is going on inside the chip, and the wider system.

The complex interactions between multiple hardware blocks, firmware and software within SoCs have already made real-time in-life monitoring an indispensable tool for SoC designers. Changes in design approaches are also making system-wide monitoring more necessary than ever. Agile software development and ad hoc programming practices inherently require high-granularity visibility of the real system. Similarly, system hardware and software may not be ‘architected’ in the traditional sense: again, engineers need clear visibility of the run-time behavior of their systems.

The new UltraSoC analytics and monitoring architecture will be readily configurable within UltraSoC’s UltraDevelop 2, the company’s new IDE (Integrated Development Environment), announced recently and to be rolled out to customers from Q1, 2019.

About UltraSoC
UltraSoC is a pioneering developer of analytics and monitoring technology at the heart of the systems-on-chip (SoCs) that power today’s electronic products. The company’s embedded analytics technology allows product designers to add advanced cybersecurity, functional safety and performance tuning features; and it helps resolve critical issues such as increasing system complexity and ever-decreasing time-to-market. UltraSoC’s technology is delivered as semiconductor IP and software to customers in the consumer electronics, computing and communications industries. For more information visit www.ultrasoc.com

Andy Gothard
+44 7768 082 044

Twitter: @ultrasoc

Appvance Announces Issuance of Seminal AI Patent

Patent describes methods to automatically generate valid test cases from limited information

SUNNYVALE, CA, February 13, 2019 – Appvance.ai, the inventor and leading provider of AI-driven test automation software announced today that the United States Patent and Trademark Office (USPTO) has issued US Patent No: 10,204,035 entitled “SYSTEMS, METHODS AND DEVICES FOR AI-DRIVEN AUTOMATIC TEST GENERATION” which is utilized in the company’s Appvance IQ product. The patent specifically describes first-to-market innovations to automatically generate valid test scripts having limited information about a system and its users. This is Appvance’s fourth issued patent.

AIQ is the leading AI-driven test technology across the world, helping engineering teams make application testing autonomous and continuous as part of their agile and DevOps cycles.

Appvance led the move to AI-driven test generation with several industry firsts:

  • 2016: The first self-healing scripts, which improve in each test execution using machine learning (Level 3 autonomy)
  • 2017: The first automatically generated data-driven regression tests (1000’s) with no human involvement or scripting (Level 4 autonomy)
  • 2018: The first full validation suite which can validate anything humans can, and many tasks no human could do or script, autonomously (Level 5 autonomy)

Appvance IQ’s patented machine learning technologies hold the speed record for legitimate data-driven script creation at 6000 unique scripts created in under 10 minutes. This is several thousand times faster than humans can write test scripts in any language or create using any other test software, with or without Artificial Intelligence.

Appvance IQ is a complete QA creation and execution system that seamlessly integrates with popular tools such as Jenkins, TeamCity, CircleCI, TFS, GIT, Jira and many others to execute deep continuous testing at every build and every deployment. The artificial intelligence capabilities are available today for web-based applications (and mobile web) with all modern libraries (HTML5, AJAX, Angular 1 & 2, React, KendoUI, Polymer, ShadowDOM, VueJS and more.)

Of the $80 billion spent annually on application testing, $78B is spent on people (with some $30B in offshore outsourcing), mostly for manual testing and scripting. Automation has been difficult and time consuming for decades, and test scripts often need as much maintenance as the application does. Appvance IQ disrupts this old model, rendering most scripting and manual testing obsolete, improving test coverage from an average of under 10% to near 100% in certain cases, while driving full QA time to a few hours from days or weeks.

“The issuance of this new AI patent further solidifies our technology lead in one of the most important advances in the IT industry” said Kevin Surace, CEO of Appvance. “Improving speed, productivity, coverage and costs of software QA is paramount to delivering applications to users that are updated quickly and are as bug free as possible. The breakthroughs our team has accomplished over the years are making that supposed dream a reality for our customers.”

Appvance, in partnership with dozens of enterprises around the world, has measured 90% reductions in QA time (versus scripting, maintaining and manual testing) and 20X improvements in real world test coverage.

Appvance IQ is available to select enterprise-class customers through an exclusive engagement process. Learn more at www.appvance.ai

About Appvance.ai
Appvance.ai is the inventor of AI-driven testing, which is revolutionizing the software QA process. The company’s premier product is Appvance IQ™, the world’s first AI-driven, unified test automation system. AIQ empowers enterprises to improve the quality, performance and security of their most critical applications, while transforming the efficiency and output of their testing teams.Appvance.ai is headquartered in Palo Alto, California, with additional offices in Costa Rica and India. Investors in the company include Javelin Ventures, Staenberg Ventures, Social Internet Fund, FundersClub, Three Bridges Ventures and HB Asset Management.

You can also follow Appvance on Twitter at https://twitter.com/appvance and on Facebook at https://www.facebook.com/AppvanceInc.


Press Contact:
Saria Mapanao

Thalia-DA unveils AMALIA analog schematic porting capability

Automation accelerates analog design reuse projects by up to 50%

CWMBRAN, UK 7 February 2019 – Thalia Design Automation today introduces advanced analog schematic porting capabilities within its AMALIA analog design automation tool suite. Configured for users of TSMC, Global Foundries, UMC, SMIC, and in-house technologies of Tier 1 design companies, the AMALIA schematic porting capability is already proven in analog migration projects to achieve design time savings of up to 50%.

Sowmyan Rajagopalan, Thalia Founder and CTO, commented:  “Process migration – moving IP between foundries or process nodes – is one of the biggest challenges facing analog IP providers today, and schematic porting is a key part of that process. The AMALIA schematic porting capability provides all the support an experienced analog designer needs: automating where possible, but also providing analysis and direction to make the task quicker and easier overall.”

Schematic porting is one of the key steps for designers wishing to move analog IP between different foundry providers or process nodes. Integrating with existing AMALIA design centering capabilities, the new tool suggests candidate porting solutions based on key design properties – such as device width/length; technology limitations such as minimum/maximum permissible device dimensions and area constraints; and design constraints.

As well as automating the porting process, the AMALIA Design Suite also significantly increases designer productivity by providing a detailed analysis highlighting issues that require the expertise of an experienced analog design engineer.

The AMALIA porting capability encompasses device mapping, target process rules/ constraints, algorithms for schematic layout and an error checker. It includes algorithms to maintain W/L, transconductance (gm) ratios and total capacitance and resistance values in light of area constraints. It also inspects interconnect and terminal locations, ‘rewiring’ the design to address any shorts.

The schematic porting capability has already played a key role in accelerating migration projectsfor a number of customers in the RF and power management sector, notably as part of Thalia’s partnership with Catena, a leading provider of radio frequency (RF) communication intellectual property (IP) for connectivity. This partnership, which leverages Thalia’s unique combination of design automation technology and analog expertise, dramatically reduces the time, cost and resources required for Catena to make its IP available in alternative foundry processes. Catena estimates savings of between 40% and 50% for recently completed migration projects.

The AMALIA analog design automation tool suite integrates with the Cadence™ analog design flow, accepting inputs via the industry-standard Component Description Format (CDF). AMALIA schematic porting tools will be commercially available in Q4 2019.

About Thalia Design Automation

Thalia is a venture funded technology business with facilities in Cwmbran UK, Hyderabad India, and Cologne, Germany. The company provides analog / mixed signal design solutions for integrated circuit (IC) manufacturers and IP companies, via unique targeted design automation technology and outstanding value-added services capabilities that ease and speed-up the design process, reduce cost and improve efficiency and quality of analog IP. The company’s investors include Mercia Fund Managers and Development Bank of Wales (formerly Finance Wales): it has also received grant funding from Innovate UK and The Welsh Government.


Andy Gothard
Thalia Design Automation Limited
+44 (0)
7768 082 044

Flash Networks Launches xtraAir Just in Time Video Scheduling

Improved  User Experience Delivered When Cells are Congested without Impacting Video Quality

Neptune, New Jersey, February 6, 2019 – Flash Networks, the leading provider of mobile Internet optimization and monetization solutions, announced today the release of xtraAir Just in Time Video Scheduling that provides an improved user experience when cells are congested, without negatively impacting video quality.  Just in Time Scheduling adds another layer of fairness to radio scheduling and resource allocation mechanisms  by prioritizing video transmissions per video frames of the adaptive streaming sessions, so that the maximum number of subscribers can have an improved customer  experience during busy traffic periods.  For example a video frame with an adaptive streaming session, that is consumed for later viewing can have a lower scheduling priority, while subscribers that make online booking or shopping can receive temporary extra boost of radio resources.

Currently the transmission network is not capable of providing per-frame prioritization, which has certain built-in inefficiencies that can eventually impact the overall customer experience. Video streaming services receive the maximum amount of available radio resources to transmit at the fastest speed possible, even when the number of transmitted frames exceeds the radio resources actually required to deliver a satisfactory and stable viewing experience. During periods of congestion, this inefficient allocation of resources creates a domino effect, which makes less radio resources available for coexisting transmissions, eventually reducing the quality of experience for all subscribers.  This problem is increasing in severity as video traffic is expected to increase dramatically, to become 74% of all mobile data traffic by 2024, according to the latest Ericsson Mobility Report.

With Flash Networks’ xtraAir Just in Time Video Scheduling policies scheduling of radio resources are more fairly assigned based on real-time information about network congestion, type of content, user behavior, and reception. These characteristics are continuously monitored and machine learning is used to predict the precise amount of radio resources required to meet user expectations. Based on these calculations, Just in Time Video Scheduling makes automatic adjustments to provide the optimal user experience for the maximum number of users.

“With the wide adoption of live video, and the dramatic increase in users and viewing times, more fairly scheduling radio resources is a growing concern for mobile operators”, said Ofer Gottfried, CEO at Flash Networks. “We are fully committed to providing a more sophisticated portfolio of optimization techniques that balances user expectations with network resources, enabling operators to provide an excellent customer experience.”

About Flash Networks

Flash Networks is a leading provider of virtual optimization, security and monetization solutions that enable operators to improve RAN spectral efficiency, boost network speed, optimize video and web traffic, generate over-the-top revenues and secure the mobile Internet for subscribers and devices.

With offices in North America, Europe, Latin America, and Asia, Flash Networks services hundreds of millions of subscribers daily at leading global carriers. For more information, visit http://www.flashnetworks.com.

monica maron, co-founder
+972 (0)545 429 529
+972 (0) 9 774 3441

OutSystems and Omnext Launch Application Risk Analysis Services

New services combined with leading low-code development platform target technical debt by providing insights into code maintainability

LONDON – 30th January 2019 – OutSystems, provider of the number one low-code platform for rapid application development, today announced two new code-review offerings from partner, Omnext. Omnext Fit Test and Stay Fit will help organisations ensure that all OutSystems applications they build adhere to best practices for maintainability, reliability, performance, and security. This will effectively reduce technical debt of new software before deployment.

Research estimates that new business applications contain at least $1M in technical debt upon release. As software is updated and new functionality added, that number increases as organisations struggle to balance quality with delivery speed. Accenture’s CIO survey in early 2018 revealed that 70 percent of CIOs want to keep existing core systems as long as possible. As well, 70 percent also said that legacy debt is limiting their ability to innovate.

Through reports and dashboards, the new Omnext services give organisations a third-party-validated risk analysis that helps them quantify their quality standards so they can move forward faster, with less risk and effort. Omnext Fit Test provides a snapshot-in-time, deep risk analysis of code based on the ISO 25010 quality model. Customers can then use the Stay Fit program to schedule a risk analysis to match their development teams’ efforts, such as after sprints or every week.

For example, KPMG, a global professional services firm and OutSystems 2018 Partner of the Year, is using the Omnext services to help its clients identify and remediate potential risks in generated code before it can impact critical production environments. As part of the launch of these new services, Omnext and KPMG are offering each OutSystems customer a free analysis of one of their apps (Quick Fit Test). The output of the scan will include a high-level report expressing an overall quality risk indication. In addition, the report will also include an overview of most common Best Practice violations found in the app.

“OutSystems delivers a platform that can take a lot of the burden out of the developers’ hands when adopted successfully,” said Joost Koedijk, partner digital enablement at KPMG. “Development is rarely perfect and errors can, and usually will, occur. Tools like Fit Test 4 OutSystems by Omnext allow us to do an efficient and automated deep-dive into the technical quality of the developed software and help our clients improve the quality and maintainability of their solutions.”

“IT teams using low-code platforms are moving faster than ever, so it’s imperative that the code we build or layer onto existing systems isn’t introducing new legacy debt,” said Mike Hughes, senior director of product marketing for OutSystems. “These new services developed through our partnership with Omnext offer peace of mind to organisations. They now have a way of knowing that new apps and functionality aren’t introducing unnecessary risk and won’t impact service delivery or availability.”

To learn more and register for a complimentary app analysis, please visit

About Omnext
Omnext specialises in software analysis for almost 20 years and is the first company to provide fully automated ‘code reviews’ (Fit Tests) for OutSystems applications worldwide. Omnext was founded from the observation that organisations are becoming more and more dependent on their software applications and struggle with quality related challenges. To help these organisations to (re)gain control over their application landscape by managing risk and increasing quality, Omnext developed the Fit Test platform.

The Fit Test platform currently supports over 40 different programming languages and technologies and allows users to perform what can be described as an ‘automated peer review’ whenever required. By analysing your applications on a frequent basis, our platform provides insight in quality characteristics based on the ISO-25010 guideline for software quality, such as Maintainability, Performance, Reliability and Security. In other words, our Fit Tests enables your development teams, and organisation as a whole, to stay in control over your software’s quality at all times.

Visit us at www.omnext.com or LinkedIn at https://www.linkedin.com/company/omnext.

About OutSystems
Thousands of customers worldwide trust OutSystems, the number one low-code platform for rapid application development. Engineers with an obsessive attention to detail crafted every aspect of the OutSystems platform to help organisations build enterprise-grade apps and transform their business faster. OutSystems is the only solution that combines the power of low-code development with advanced mobile capabilities, enabling visual development of entire applications that easily integrate with existing systems.

Visit us at www.outsystems.com, or follow us on Twitter @OutSystems or LinkedIn at https://www.linkedin.com/company/outsystems.



Michael Bartley (UK)
+44 (0) 1189 497736

GigaSpaces Closes 2018 with Record Profits, New Product Innovations and Industry Accolades

New York, NY — January 30, 2018 — GigaSpaces, the provider of InsightEdge, a leading in-memory real-time analytics platform for instant insights to action, announced an exceptionally successful 2018 with record profits and strong financial cash flow.  Year over year exponential InsightEdge platform revenue growth continues due to the adoption of the in-memory real-time analytics platform by new and existing tier-1 customers and the signing of several significant OEM agreements.  The company also expanded its partner ecosystem with several new big data cloud technology and go-to-market partners. The addition of top-talents across regions has helped the company execute on its product strategy and exceed sales targets.

Leading innovations released in 2018, are paving the way for enterprises to gain smarter and faster insights across cloud, on premise and hybrid environments as they run transactional and analytical workloads on real-time data, enriched with historical context.

“The trend to digitalization is incessantly expanding and is driving the fast growth experienced by most IMC-enabling application infrastructure technologies,” writes Gartner, in Predicts 2019: In-Memory Computing at a Turning Point, Driven by Emerging Persistent Memory Innovation (Dec 2018). “This is because they can cost- effectively support the real-time analytics, hyperscale architectures, mixed transactional and analytical workload, and fast access to vast data stores for analytics.”

In March 2018, a unique intelligent multi-tiered data storage approach was introduced to the MemoryXtend module allowing customized preferences for data prioritization per application to ensure that the most important data resides in the fastest data storage tier.  In its latest v14.0 release of InsightEdge and XAP, the MemoryXtend module integration with Intel® Optane™ DC Persistent Memory significantly boosts capacity while retaining performance, drastically lowering total cost of ownership (TCO). GigaSpaces is among a select group of ISVs (including Amazon, Google, and Microsoft) who have integrated with Intel’s game-changing technology  prior to broad availability in the first half of 2019.

This release also included support for the Kubernetes environment, automating deployment and managing containerized applications at scale across all environments supporting major cloud providers including AWS, Microsoft Azure, GCP and others.

In 2018, Magic Software selected InsightEdge to power Magic Enterprises integration platform xpi with real-time AI and machine learning to achieve lean manufacturing, perform predictive maintenance and automate operational workflows in multiple industries by running machine learning models with sub-second latency.

GigaSpaces also received industry recognition in 2018, having been cited in six Gartner Hype Cycle reports for its in-memory real-time analytics platform, InsightEdge.  In addition, GigaSpaces customer Société Générale was awarded high recommendation for the Bank Technology’s Best Use of Data award by leveraging InsightEdge as a heterogeneous distributed worldwide Data Services platform for over 400 financial applications across three geographic locations.  GigaSpaces was also shortlisted for an additional Banking Technology Award based on a successful deployment at Daiwa Capital Markets.

“Investments in operationalizing AI and machine learning for a broad range of applications and use cases, are growing rapidly across industries, as enterprises strive to become insight driven,” said Adi Paz, CEO at GigaSpaces.  “The combination of scale, high performance and high availability with a simplified unified architectural approach is powering our customers’ agility to rapidly develop and deploy modern real-time applications; increasing the demand for our products.”

To continue acceleration of market-share, and growing number of deployments and product innovations, the company is expanding its teams globally and has augmented its executive team with the appointments of Yoav Einav, VP Product and Shai Zmigrod, Senior Vice President of Sales EMEA.  Yoav Einav, brings 12 years of strategic and hands-on experience in AI, machine learning, cloud, networking, storage, serverless, big data, Hadoop and virtualization domains.  Shai Zmigrod has over two decades of experience executing complex international sales strategies to expand the global presence of fast-growing technology companies.

“Our customers are gaining the competitive edge by reducing long ETL processes, eliminating unnecessary data duplication and avoiding data ingestion bottlenecks from various data sources,” said Yoav Einav, VP Product at GigaSpaces.  “Our goal is to simplify enterprise big data architecture in the cloud and on-premise with the fastest software platform that can seamlessly plug and play on existing infrastructure such as Hadoop and Amazon S3. This powers both the acceleration of batch analytics and the ability to run event driven analytics and machine learning in real-time, enriched with historical context for creating new revenues and reducing costs.”

For more information, visit www.gigaspaces.com

About GigaSpaces

GigaSpaces provides leading in-memory computing platforms for real-time insight to action and extreme transactional processing.  With GigaSpaces, enterprises can operationalize machine learning and transactional processing to gain real-time insights on their data and act upon them in the moment.  The always-on platforms for mission-critical applications across cloud, on-premise or hybrid, are leveraged by hundreds of Tier-1 and Fortune-listed organizations worldwide across financial services, retail, transportation, telecom, healthcare, and more. GigaSpaces offices are located in the US, Europe and Asia.

More at www.gigaspaces.com and blog.gigaspaces.com.


Karen Krivaa
t: +972542633799
e. karen.krivaa@gigaspaces.com

Spicetree Communications
Wes Rogers
t: +1-912-506-0869
e. wes.rogers@spicetreecom.com

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