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Overview

Product Information on ScienceLogic AI Platform

Updated 2nd February 2026

What is ScienceLogic AI Platform?

ScienceLogic AI Platform is a unified environment for observability, AI driven intelligence, and automated operations. It helps teams navigate modern IT with clarity and confidence. Deployable across on-premises, cloud, and hybrid environments, the platform consolidates fragmented tools, delivers complete observability, and improves reliability with trusted AI. Skylar One, formerly SL1, establishes service aware visibility across hybrid environments. As teams gain clarity, Skylar Automation builds consistency by turning repeatable actions into low-code workflows that reduce manual effort. Skylar AI then advances decision quality by applying unsupervised learning and reasoning to detect issues, surface context, and guide next steps. Skylar Compliance, formerly Restorepoint, closes the loop by ensuring configurations and policies stay aligned as the environment evolves. Together, these capabilities help teams improve reliability, resolve issues faster, and operate with confidence.

ScienceLogic AI Platform Pricing

ScienceLogic AI Platform uses a subscription-based pricing model, typically structured according to the number of devices or nodes. Pricing may vary depending on deployment options, feature sets, and scale requirements, with tiers available for different levels of usage and functionality. Custom quotes may be provided for larger or specialized environments.

Overall experience with ScienceLogic AI Platform

Engineering Manager
10B - 30B USD, Telecommunication
FAVORABLE

“ScienceLogic the Solution to Platform Rationalisation and Modernisation”

5.0
Mar 16, 2026
ScienceLogic have helped us modernise and rationalise a number of legacy platforms across a previously fractured tech landscape into a unified single ecosystem with which we can expose the required capability to serve multiple products.
IT Associate
1B - 3B USD, Services (non-Government)
CRITICAL

“ScienceLogic A lot of work to get it right.”

3.0
Mar 2, 2026
I have found the configuration and use of ScienceLogic to be overly complex and long winded to get basic functionality. If you have the time to dedicate resources to the product and you have a very clear structure you want to achieve then it is a good choice, however, if you want a product that is easy to onboard and use then this is not a good choice. ScienceLogic is very difficult to keep upgraded as when updating the powerpacks any customizations linked to the powerpack will be removed. Use of powerpacks and customizing them are both encouraged, however there is no way to keep track of changes made to powerpacks to bring them into the new version. The only way to achieve this is to track them externally, which can become very complex when there are 100s of components.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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ScienceLogic AI Platform

byScienceLogic
in
4.3
Market Presence: Observability Platforms, Infrastructure Monitoring Tools

About Company

Company Description

Updated 26th February 2025

ScienceLogic specializes in IT Operations Management. ScienceLogic’s main focus is to equip contemporary IT operations with precise insights to predict and efficiently solve issues in a digital, transient world. ScienceLogic’s IT Observability, AIOps and Automation solutions provide an expansive view across infrastructure, applications, cloud, sensor and distributed architectures. Further, the platform can act on this insight by contextualizing data with the help of relationship mapping, integrating and automating to deliver desired business outcomes.

Company Details

Updated 26th February 2025
Company type
Private
Year Founded
2003
Head office location
Reston, United States
Number of employees
501 - 1000
Website
https://www.sciencelogic.com

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User Sentiment About ScienceLogic AI Platform
Reviewer Insights for: ScienceLogic AI Platform
Deciding Factors: ScienceLogic AI Platform Vs. Market Average
Performance of ScienceLogic AI Platform Across Market Features

ScienceLogic AI Platform Likes & Dislikes

Like

The recent acquisition of RestorePoint (now Skylar Compliance) has plugged a gap in our ScienceLogic implementation which has meant we can retire some very old back-up/restore capabilities We have found that the ScienceLogic API functionality and integration into third-party orchestrators to be significantly better than some of their competitors which has helped our speed-to-market and reduced our dependency on SNMP monitoring. We have found ScienceLogic's response to feature requests and the quality of their professional services to be exceptionally better than some of their competitors (example being their recent release of Geo-maps feature which we have been in favour of receiving prioritisation and has progressed well).

Like

The integrated automations are easy to create and they add a lot of value to the events generated. It is highly customizable and you can get exactly what you want out of it.

Like

Upgrades from Skylar One version 12.5 are now seamless, fast, and reliable. The platform's scalability, multitenancy, and customizable dashboards make monitoring easier and more effective. Regular PowerPack updates enhance monitoring, while SyncPacks simplify integrations. Dynamic applications are highly customizable, allowing us to tailor monitoring to our specific environments and quickly onboard new technologies, which greatly improves efficiency and flexibility. As for service, involvement from support team and collaboration with CSM.

Dislike

Hard to say because we are proactively exiting some of their competitors in favour of ScienceLogic as our consolidated tech of choice. My main constructive criticism is that we have found at times some of their update scripts could provide clearer commentary on failures. At times some of the ScienceLogic documentation can be a little vague. They make up for it with their support, but there are times where my team could self-serve better if documentation was a bit more explicit/clear. One other limitation is that we have needed to deploy and support multiple stacks of ScienceLogic due to the upper-bound in the devices supportable per-stack (~10,000 devices).

Dislike

There is a lot of admin to ensure all devices are present and collecting what is expected. Basic tasks seem to be very long winded and complex compared to other products. The focus is on automation and more advanced features, but the basics need work.

Dislike

Security updates, particularly OS-related ones, are included as part of the application upgrade and cannot be installed separately. One area for improvement is that specific errors can be difficult to locate in the knowledge base, which can make self-troubleshooting more challenging and often requires support assistance. Additionally, while the out-of-the-box self-monitoring for platform appliances is useful, it can generate a large number of minor or non-critical messages, requiring tuning to reduce noise and help teams focus on issues that need immediate attention.

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ScienceLogic AI Platform Reviews and Ratings

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  • Engineering Manager
    10B+ USD
    Telecommunication
    Review Source

    ScienceLogic the Solution to Platform Rationalisation and Modernisation

    5.0
    Mar 16, 2026
    ScienceLogic have helped us modernise and rationalise a number of legacy platforms across a previously fractured tech landscape into a unified single ecosystem with which we can expose the required capability to serve multiple products.
  • Engineer
    1B-10B USD
    Telecommunication
    Review Source

    Highly customizable, comprehensive, and scalable platform with actionable insights, automation, and responsive support; some tuning, process refinement, and feature/bug prioritization could enhance the experience

    4.0
    Apr 9, 2026
    Overall, positive experience due to friendly, helpful, and knowledgeable support. Incident and break/fix response times are consistently fast which is highly valued. For changes, lead timers can occasionally be longer than expected, and there is room for improvement in prioritizing bugfixes, and addressing feature requests.
  • IT Associate
    1B-10B USD
    IT Services
    Review Source

    Integration and Extensibility Support Multi-Tenant Environments and Streamlined Workflows

    5.0
    Mar 27, 2026
    ScienceLogic's Skylar One platform has been a strong enabler in helping us meet our organization goals around system monitoring and operational efficiency. It Provides comprehensive visibility into system health, allowing our teams to proactively identify and address issues before they impact business operations. The platform's capabilities around event correlation and alert management have been particularly valuable in reducing alert fatigue and improving signal to noise for our engineers. Additionally, its integration with tools such as ServiceNow has streamlined incident workflows and enhanced our ability to respond quickly and effectively. Overall, the platform supports our teams in delivering reliable, data-driven operations aligned with our service expectations.
  • Director Of Data And Analytics
    1B-10B USD
    IT Services
    Review Source

    Flexible Data Integrations, AIOps Capabilities, Scalability and a Strong Partner.

    5.0
    Mar 19, 2026
    ScienceLogic has worked with us as a partner for many years. We selected them over many competitors based on their product strengths including flexibility of data integrations, scalability, and strong AIOps capabilities.
  • HEAD OF SOLUTIONS
    <50M USD
    Telecommunication
    Review Source

    Driving AiOPS Goals with Sciencelogic: A Journey to Success

    4.0
    Feb 18, 2026
    Sciencelogic has consistantly worked with us to drive our overall AiOPS goals, it has been a long journey but they have been with us and understanding our needs from the get go. We will be doing a 360 review with them soon and will be taking the next steps in the organization to make sure that we continue to be successful with the product.
...
Showing Result 1-5 of 205

4.3

(152 Ratings)

Rating Distribution

5 Star
39%
4 Star
55%
3 Star
4%
2 Star
1%
1 Star
1%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.2

Integration & Deployment

4.2

Service & Support

4.4

Product Capabilities

4.3