1. Our AI knows your modern data center, in and out.
In platform testing and real-world environments, Edwin AI consistently outperforms legacy AIOps and generic AI add-ons, especially when it comes to root cause accuracy, time-to-resolution, and contextual awareness.
Edwin is specifically trained in IT infrastructure and observability data. It correlates metrics, logs, and events to show you exactly what’s wrong, why it’s happening, and what to do next.
That means fewer war rooms, faster incident response, and smarter troubleshooting without relying on brittle rules or generic LLMs. Edwin delivers answers that are clear, actionable, and built for how real IT teams work.
“This was the first time we saw real value from AI in monitoring. Ticket volume dropped, and we gained new visibility across our environment.”
— Gartner Peer Insights Reviewer, July 2025
0
%
alert noise reduction
67
%
ITSM incident reduction
23
%
less incident workload
60
%
reduction in MTTR
2. You get visibility across cloud, on-prem, and everything in between.
Most monitoring tools are designed for a specific type of environment. Cloud-only. Or network-first. Or legacy-heavy. But your infrastructure doesn’t fit neatly in a box, and neither should your observability platform.
LM Envision gives you unified, correlated visibility across every part of your stack. Cloud, on-prem, hybrid, containers, SaaS apps, edge nodes—you name it. It’s all brought together in a single platform that understands how these pieces connect in the real world.
You don’t need multiple tools or stitched-together dashboards to see what’s going on. With our platform, you get one source of truth that sees everything, everywhere, all at once.
3. We outperform the rest (and here’s how)
You’ve got options. But most of them come with tradeoffs like modular pricing models, clunky UIs, endless setup cycles, or missing context when it matters most. LM Envision is different. We bring everything together in one platform that’s built for scale, powered by AI, and ready for your hybrid reality.
vs SolarWinds
SolarWinds adds time and toil. Configuration is complex, automation is limited, and scalability hits a wall fast. LM Envision delivers a complete view of your environment that’s deployed faster, maintained with less overhead, and trusted by teams around the world
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vs Datadog
Datadog piles on modular pricing and hidden complexity. You’ll need multiple agents, extra modules, and a pricing calculator just to get started. LM Envision gives you full-stack observability out of the box, with transparent pricing and faster time to value
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vs Dynatrace
Dynatrace works when it comes to app performance, but lacks depth in infrastructure, networking, and hybrid environments. LM Envision offers broader coverage, built-in OpenTelemetry support, and a platform that sees everything, not just your code.
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vs ScienceLogic
ScienceLogic requires months-long deployments, surprise service fees, and multiple FTEs just to keep it running. LM Envision customers get up and running in weeks—not quarters—and spend their time improving IT, not babysitting a monitoring tool
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vs PRTG
PRTG struggles to scale beyond 500 devices, lacks AI, and requires manual alert closing. Customers who switch to LM Envision reduce alert noise by up to 97%, streamline operations, and gain predictive insights powered by Edwin AI.
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vs Zenoss
Zenoss has dated architecture, limited cloud support, and an interface that slows teams down. LM Envision offers a modern, scalable platform that handles hybrid environments with ease and makes it easy to use, too
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4. Our platform is built to handle scale and complexity.
LM Envision isn’t just “enterprise-ready”—it’s already operating at global scale.
Our platform collects data from over 4.1 million monitored devices, with 1.5 trillion metrics processed daily through our infrastructure. We support 100,000+ users in 30 countries, monitoring everything from cloud-native stacks to legacy infrastructure and edge environments—all from a single platform that just works.
Whether you’re scaling from 500 to 50,000 devices or going all-in on hybrid cloud, LM Envision keeps pace without slowing you down. It’s a platform built to grow with whatever comes next.
4.1M
devices monitored
1.5T
metrics collected per day
100k+ users
in 30 countries5. You can customize everything and integrate with anything.
You shouldn’t have to redesign your environment just to make your monitoring work. With 3,000+ pre-built integrations (and counting), LM Envision fits into your existing ecosystem right out of the box and flexes to whatever comes next.
Connect cloud accounts, container orchestration tools, databases, SaaS apps, custom gear—you name it. Our open APIs, flexible dashboards, and log forwarding options make it easy to tailor the platform to your workflows, not the other way around.
6. We’re more than support—we’re a true partner to you and your teams.
Support isn’t a checkbox. It’s a relationship. And it’s one of the biggest reasons 100,000+ users across 30 countries trust LM Envision to keep their businesses online, optimized, and always evolving.
From day one, you get real humans who understand the modern data center. Our onboarding is fast. Our answers are useful. Our team doesn’t disappear after the contract’s signed. Whether you’re launching in a single data center or rolling out across global regions, we’re in it with you.
And because our platform is SaaS-native, our support teams don’t just respond to issues. We help prevent them. We spot patterns, flag risks, and make sure your setup grows smarter over time.
The result is a partnership that actually feels like one.
