Ekinops and LiveAction announce the integration of their technologies to provide service providers with advanced, real-time network performance analytics and value-added services via a combined routing solution.
The solution pairs Ekinops’ field-proven branch routing solutions with LiveAction’s LiveSP program to offer a 360-degree overview of network and application performance. The integrated solution allows service providers to create dynamic dashboards and reports based on application recognition and by measuring network performance metrics, such as application traffic, COS (Class Of Service) information, delay and jitter, allows them to support their enterprise customers’ operational teams in managing performance.
Proximus has successfully deployed the combined technologies on its MPLS service ‘Explore’, helping thousands of enterprises to meet the network infrastructure needs of their business lines with measurable performance delivery.
“The combination of these innovative technologies enabled us to both strengthen and grow our customer relationships. Not only are we offering a new service, but we’ve also been able to showcase the reliability of our connectivity services, all delivered via a simple end-user interface. Access to these new metrics has been invaluable,” commented Tania Defraine, Head of Business Management at Proximus.
Tailored to the needs of service providers, LiveAction’s LiveSP collects advanced reporting metrics from network devices and translates valuable information to end-users, enabling network and application performance monitoring. Combined with Ekinops’ customer premises equipment (CPE) portfolio and embedded OneOS6 middleware, routers can easily activate sophisticated built-in services such as Deep Packet Inspection (DPI) intelligence, firewalls, SD-WAN and SBC, while also providing related performance metrics.
“... service provider partners can easily create additional value-added services for their customers while leveraging existing Ekinops access infrastructure,” comments Damien Defer, SP Sales Director at LiveAction. “Our collaboration enables us to offer them a unique opportunity to differentiate, safeguard revenues and elevate offerings to a more flexible, application-based portfolio.”
“Going up market by delivering higher value-added solutions is at the heart of Ekinops’ mission. And increasingly, insights into network and application performance are critical to this market,” commented Sylvain Quartier, VP Marketing and Access Product Strategy at Ekinops. “By pooling our expertise, we’ve been able to define a solution that empowers service providers to remain competitive and tap into new revenues, without huge additional infrastructure costs.”
The Latest
AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...
In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...
Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...
Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...
As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...
I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...