The Blame Game Begins
When a critical application experiences latency, is it Vendor A's RU? Vendor B's DU software? A misconfiguration in the cloud network fabric? Or an issue in the 5G core?
Unified Visibility for Multi-Vendor Private 5G
The future of enterprise connectivity is here: Private 5G networks, built on the flexible, multi-vendor promise of Open RAN and deployed on the immense scale of hyperscalers like AWS, Azure, and Google Cloud.
But this freedom creates an unprecedented operational challenge. When your network is a collection of disaggregated components from different vendors running on a shared cloud platform, how do you guarantee performance?
When your Private 5G network is a collection of disaggregated components from different vendors running on a shared cloud platform, troubleshooting becomes a nightmare. Without a single source of truth, finger-pointing begins and Mean Time to Resolution skyrockets.
When a critical application experiences latency, is it Vendor A's RU? Vendor B's DU software? A misconfiguration in the cloud network fabric? Or an issue in the 5G core?
Each vendor provides their own monitoring tools, creating data silos. You can't see how components interact or where the breakdown actually occurs.
Without packet-level proof of exactly what happened, your teams waste hours in war rooms trying to diagnose problems they can't even see.
Multi-vendor flexibility created operational complexity— DART-AI provides the single source of truth.
In a dynamic Open RAN environment, you cannot rely on siloed, vendor-specific monitoring tools. DART-AI provides a holistic intelligence layer that understands how the entire system works together to deliver a service.
DART-AI provides the definitive, packet-level proof needed to instantly pinpoint the root cause of any issue, turning a multi-vendor operational nightmare into a clear, manageable ecosystem.
See exactly how traffic flows between components from different vendors—no more blind spots at integration points.
Packet-level evidence shows precisely where issues originate—RU, DU, CU, Core, or Cloud fabric.
Replace hours of finger-pointing with minutes of precision. Evidence everyone can trust.
DART's AI engine continuously monitors the performance of every link in the chain—from the RAN to the edge to the cloud core—maintaining ultra-low latency and high reliability.
AI identifies behavioral patterns that signal performance degradation before applications are impacted.
Track latency at every hop in real-time. Ensure mission-critical applications meet their SLAs.
Forecast capacity needs and potential bottlenecks before they affect service quality.
The strategic goal of Open RAN is to reduce costs and avoid vendor lock-in. DART-AI ensures that promise isn't erased by soaring operational expenses from complex troubleshooting.
Minutes instead of hours. Less downtime means lower operational costs and better service.
Predictive resource optimization ensures you're not over-provisioning expensive infrastructure.
Don't let complexity compromise your Open RAN vision. Ensure it delivers technological and financial advantages.