Sold by: LogicMonitor
Deployed on AWS
Edwin AI is an AI agent for ITOps: purpose-built to accelerate incident investigation, resolution and eliminate operational noise in the modern data center. An agentic AIOps product, Edwin AI combines cross-domain alert correlation, root cause analysis, and autonomous remediation, transforming IT operations and delivering measurable impact-reducing alert fatigue, speeding resolution, and boosting productivity.
4.5
Overview
Edwin AI is an agentic AIOps product built to act, not just observe. It correlates alerts, identifies root causes, and recommends remediation. Edwin AI helps IT teams eliminate noise, resolve incidents faster, and scale workflows with confidence. Teams can move from daily firefighting to proactive operations, increasing productivity and scaling capabilities without increasing headcount. Built on Amazon Bedrock, Edwin AI leverages model flexibility, native agent capabilities, and AWS integration to autonomously triage, correlate, and remediate incidents at scale. Customers have seen immediate results like 80% noise reduction, 30% fewer ITSM incidents, 60% faster MTTR, and a 20% boost in operational efficiency. Designed for real-time operations, Edwin AI deploys quickly and delivers measurable impact in days, not months.
Highlights
- Agentic AIOps: Edwin AI is a native, purpose-built AIOps product, designed for IT operations teams. It brings contextual understanding of the ITOps environment and observability dataset to correlate events, identify root causes, and drive remediation.
- Unified Data Context: Edwin AI stitches together observability telemetry, CMDB data, topology, and ITSM context into a unified ITOps knowledge graph, enabling explainable, data-driven decisions across hybrid environments through over 3,000 integrations.
- Quick Time-to-Value: Edwin AI delivers immediate measurable improvements in alert noise, MTTR, and ITSM ticket volume.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months | Overage cost |
|---|---|---|---|
LogicMonitor Edwin AI | Edwin AI with auto-billing of overages | $120,000.00 |
Dimensions summary
This listing bills through a single contract dimension for LogicMonitor Edwin AI, measured in units. You commit to a set quantity of units for your contract term. If your usage goes beyond that committed amount, the extra units bill automatically as overages. This means you are not blocked when you exceed your commitment; the added consumption is charged after the fact. Because there is one dimension, pricing scales with the number of units you use rather than across separate tiers or plans. Contact the vendor to size the unit quantity that fits your environment.
Top-of-mind questions for buyers
Edwin AI billing is tied to the platform's Hybrid Unit model. One Hybrid Unit equals one on-prem collector monitored device, one cloud IaaS resource, seven cloud PaaS resources, five wireless access points, or seven Kubernetes pods. Your account team estimates the unit count that fits your environment.
You are not blocked when you exceed your committed units. The extra consumption bills automatically as overages, charged after the fact. This lets your monitoring scale without interruption. The overage applies only to units beyond your commitment, not to your whole quantity.
No. The Hybrid Unit is one standard unit that replaces separate licensing across on-prem, cloud IaaS, cloud PaaS, and wireless access points. You allocate units across resource types interchangeably, so a single unit pool covers mixed environments. A usage page shows total unit consumption by resource type.
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Software as a Service (SaaS)
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Customer reviews
Tejas P.
Best-in-Class UI, Performance, and Support from LogicMonitor
Reviewed on Jul 16, 2026
Review provided by G2
What do you like best about the product?
Best UI and performance of the tool to get to know about alerting
Great level of ROI by using this tool, Support and onboarding help is always great with LogicMonitor, It provides integration with Teams which is the best to get the alert directly in Teams channel. AI is introduced to make the process faster
Great level of ROI by using this tool, Support and onboarding help is always great with LogicMonitor, It provides integration with Teams which is the best to get the alert directly in Teams channel. AI is introduced to make the process faster
What do you dislike about the product?
there is nothing to dislike about LogicMonitor at this point of time
What problems is the product solving and how is that benefiting you?
Great level of alerting configuration and wide variety of network firewall products can be configured.
Information Technology and Services
Wide-Ranging Integrations Across Cloud and On-Prem
Reviewed on Jul 15, 2026
Review provided by G2
What do you like best about the product?
It offers a wide range of potential integration methods across both cloud and on-premises platforms and infrastructure.
What do you dislike about the product?
It’s difficult to simply suppress linked alerts without having to do additional configuration. Also, many of the more advanced features seem to require a higher-cost subscription tier.
What problems is the product solving and how is that benefiting you?
It provides reliable assurance that our monitoring data is consistently captured and that historical metrics are easy to review. Its stability gives us confidence that we can identify root causes, correlate incidents, and then adjust monitoring thresholds or address any component that may be failing.
Information Technology and Services
Real-Time IT Health Monitoring Made Easy with LogicMonitor
Reviewed on Jul 11, 2026
Review provided by G2
What do you like best about the product?
LogicMonitor is a cloud based Infrastructure monitoring tool. Its best is its ability to monitor the IT environment health and performance in real time
What do you dislike about the product?
Tuning the alerts dynamically is the major challenge in LogicMonitor setup configuration. Licensing cost is higher when the number of devices increases.
What problems is the product solving and how is that benefiting you?
The problem that LogicMonitor solving for me is real time monitoring of Infrastructure
Nidhi S.
Predictive Forecasting Controls Are a Math Nerd’s Dream
Reviewed on Jun 14, 2026
Review provided by G2
What do you like best about the product?
Senior advised me just to watch the alerts from the server. I'm Data Analyst intern, I don't care about pings on the server. I looked through the metric graphs, and noticed the “Predictive Forecasting” settings. The "Training Window" slider (30 days, 90 days, or customized offset) can be adjusted manually to train this Holt-Winters math model. This is possible even for changing confidence interval! If you're not one of the happy normal users, but you're a math nerd, you can see the HTML5 canvas training forecast line change when you change the training offset (if you don't, you can lock it), and that's pure heaven.
What do you dislike about the product?
This is a beautiful feature that they don't publicise! The training slider is deep within the two sub-menus in widget settings. Other than that, if I export to CSV, it only includes historical raw data and not forecasted coordinate points computed. I don't like having to copy coordinates for my Python script!
What problems is the product solving and how is that benefiting you?
Manager wants to know what will be the first time that our database disk is going to be full? Rather than manually regressing the data for a few hours, I employed this forecast tool. I set training window to disregard the temporary training data spikes last month, and BOOM! It gave exact date (October 14th). I've been blown away by my prediction slide deck. Made my internship by getting a niche feature!
Tiya P.
LogicMonitor has cut our MTTR 42% and provided tight ROI.
Reviewed on Jun 13, 2026
Review provided by G2
What do you like best about the product?
I'm DevOps engineer, I am measuring everything in numbers. We have been using LogicMonitor for a total of 14 months. Best part is having an agentless collector architecture. We installed collector on 1 standard VM and in 2 hours it discovered more than 650 network devices & servers. This reduces manual set up time by 80% versus previously used agent based tool.
Ring logic is good. We used switches for dynamic thresholds for CPU and memory instead of static thresholds. This was the reason alert noise is going down by 62%. We were receiving 400 alerts a week from our on call team and now we are receiving 150 actionable alerts a week! Full support for integration with Terraform. Monitoring is "As Code". Very low API response time - always <50ms for metric queries.
Ring logic is good. We used switches for dynamic thresholds for CPU and memory instead of static thresholds. This was the reason alert noise is going down by 62%. We were receiving 400 alerts a week from our on call team and now we are receiving 150 actionable alerts a week! Full support for integration with Terraform. Monitoring is "As Code". Very low API response time - always <50ms for metric queries.
What do you dislike about the product?
pricing model is strictly on the number of devices. We have both Kubernetes and AWS auto scaling groups in place. Occasionally short-lived containers and or EC2 instances are being started for 1 hour, as a result that is consuming licence quota. Due to this, we are paying 12% more than we expected on our monthly bills.
What problems is the product solving and how is that benefiting you?
Main problem it is solving is hybrid infrastructure visibility. We have 30% on-premise data center and 70% AWS cloud. Both now in a single pane of glass dashboard.
Benefit can only be quantitative:
Now, with the visibility into the exact root cause node in dashboard, Mean Time to Resolve (MTTR) is improved to 26 minutes, down from 45 minutes (42% improvement).
The uptime of the infrastructure is improved from 99.91% to 99.99% for last two quarters.
Capacity planning report made it very easy to identify and downsize 40 idle VMs. This optimization is soaring the savings in cloud billing by a sum of exactly $3,200 a month.
Complete overall ROI is realized after just 8.5 months.
Benefit can only be quantitative:
Now, with the visibility into the exact root cause node in dashboard, Mean Time to Resolve (MTTR) is improved to 26 minutes, down from 45 minutes (42% improvement).
The uptime of the infrastructure is improved from 99.91% to 99.99% for last two quarters.
Capacity planning report made it very easy to identify and downsize 40 idle VMs. This optimization is soaring the savings in cloud billing by a sum of exactly $3,200 a month.
Complete overall ROI is realized after just 8.5 months.