Continued growth and investment driven by new market demands for modernized infrastructure management, with a focus on user performance
The new round of financing brings Nyansa’s total capital investment to date to $27 million.
The proceeds will be used to support Nyansa’s strategic growth initiatives, including the acceleration of go-to-market activities and continued innovation of the company’s popular cloud-based infrastructure analytics platform, called Voyance.
The Voyance platform leverages big data network analytics, cloud computing and machine learning technologies to help organizations manage user performance with infrastructure devices, applications and services.
“Data is now king in the networked world and is forever changing enterprise access infrastructure,” said Abe Ankumah, Co-Founder and CEO of Nyansa. “The winners will be those who help enterprises interpret and capitalize on the volumes of data running over their networks to gain a strategic business advantage. Our goal with this latest injection of capital is to continue doing what we do best—delivering a unique user performance management platform that helps customers ensure the best possible user network experience, whether that user is a person, device or application.”
“As the complexity of the network increases, enterprises will benefit from intelligent analytics solutions that can help them to predict and prevent network outages and provide situational awareness and insights,” said Sandra Rivera, senior vice president and general manager of the Network Platforms Group at Intel Corp. “Artificial intelligence and machine learning can address network challenges such as customer experience management, predictive maintenance and automated remediation. Our investment in Nyansa, a market innovator in this space, reflects a belief in the broader adoption of such AI-enabled, big-data-driven analytics platforms.”
Director Alexandre Villela led the investment for Intel Capital and will join Nyansa’s Board of Directors.
“Big data analytics focused on user performance management has become the name of the game in the enterprise infrastructure market,” said Shirish Sathaye, general partner at Formation 8. “As an investor since day one, we are more convinced than ever that the Nyansa is poised to redefine the infrastructure management market.”
Founded in September 2013 by Abe Ankumah, Anand Srinivas and Daniel Kan, Nyansa launched the first commercial big data network analytics service in April 2016. Since that time, the company has achieved critical acclaim with a number of important successes:
- Deployment of its Voyance service in 200+ production environments
- Doubling its customer install base
- The only network analytics service to reach 3 million client devices under observation
- The only infrastructure analytics platform to hit 4 million client events analyzed weekly
Nyansa is a fast-growing, Silicon Valley based innovator of advanced IT analytics software technology. Venture-backed by Intel Capital and Formation |8, the company was founded in September 2013. Nyansa is credited with developing the first full-stack, vendor-agnostic, cloud-based user performance management platform called Voyance. With it, organizations are able to automate the end-to-end analysis and correlation or critical infrastructure data to improve the productivity, performance and security of critical devices on the wired/wireless network.
The world’s largest and only public SaaS IT analytics service available today, Voyance currently analyzes user network traffic from over 20 million client devices across thousands of customer sites at companies including Tesla, Uber, Lululemon, Home Depot, MuleSoft, SF International Airport, Stanford, Northeast Georgia Healthcare System and many others.
Purpose-built for quantifying the user experience within increasingly mobile enterprise network environments. Voyance is the only analytics system that analyzes every wired and wireless client network transaction in real time and over time. With Voyance, organizations can now proactively predict client problems, optimize their network and justify infrastructure changes based on actual user, network and application data. This serves to improve user productivity while radically reducing the time and expense related to optimizing IT network operations from the client to the cloud.
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