SmartBear Software and Nous Infosystems have entered into a strategic partnership to establish the Nous-SmartBear Center of Excellence (CoE) in Bangalore.
The CoE will enable customers to quickly adopt SmartBear tools and ensure the quality and performance of applications through Testree, the independent verification and validation division of Nous Infosystems.
“SmartBear is an industry leader and the company’s TestComplete is one of the most recognized automated testing tools in the world,” said Vimal Nair, Global Head – Testree Solutions, Nous Infosystems. “The collaboration with SmartBear will help us build further on our expertise in test automation services delivering unique value to our customers. We have built some great utilities that help customers migrate seamlessly from other testing tools to SmartBear tools. We are excited about this strategic relationship with SmartBear.”
Testree partners with organizations to gain competitive advantage in providing best-of-breed testing solutions. Testree specializes in technical testing services in Test Automation, Performance Testing, Mobility, SOA, Cloud and Social Media integration. Testree offers Functional Testing, Non-Functional Testing and High End Test Consulting and Advisory Services across Banking, Financial Services and Insurance (BFSI), Healthcare & Retail industry sectors.
“SmartBear customers measure the quality of their mobile, Web and desktop applications against standards of both functionality and performance,” said Richard Caplow, SVP of Product Commercialization at SmartBear. “Testree brings considerable expertise with testing services to ensure that organizations deploy applications with confidence. Bringing that expertise together with SmartBear’s solutions through joint investment, along with the new Nous SmartBear Center of Excellence, is an obvious combination and we're excited about the customer value we will create together.”
SmartBear technical and engineering teams will train Nous engineers on the latest tool sets and support project delivery requirements. Nous and SmartBear plan to jointly invest in solution development addressing key customer challenges in selected industry segments.
The Latest
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...