Observability AI Factories Data Center Infrastructure Management Systems Performance Monitors

Retrieved sources

[E1] ScienceLogic — https://sciencelogic.com/

yaml 
founded_year: "2003"
funding: "Total funding: USD 235,167,632; notable rounds include Series C (2013-12-01): USD 11.0M, Series D (2015-02-19): USD 43.0M, Series E (2021-02-23): USD 105.0M, Debt financing (2018-11-05): USD 25.0M, Venture (2022-10-21): USD 21.2M"
notable_customers:
  - Not explicitly listed by name in provided text
pricing_model: Free Trial, Demo Available
name: ScienceLogic
headquarters:
  address: 11955 Democracy Dr, 13th Floor, Reston, Virginia 20190, US
  city: Reston
  country: United States
workforce:
  total: 551
financials:
  revenueAnnual: 121250000
  fundingTotal: 235167632
  fundingLatestRound:
    name: Venture
    date: 2022-10-21
    amount: 21167632
ScienceLogic is an AI-driven observability and IT operations (ITOps) platform that provides modern IT operations with actionable insights to predict and resolve problems faster across cloud and distributed architectures. It offers IT infrastructure monitoring and AIOps, context through relationship mapping, and enables integration and automation to drive digital transformation.

[E2] Restorepoint — https://sciencelogic.com/platform/skylar-compliance/

yaml 
founded_year: "2007"
name: Restorepoint
headquarters:
  address: Tannery House, Tannery Lane, Woking, England GU23 7EF, GB
  city: Woking
  country: United Kingdom
  workforce:
    total: 2
financials:
  revenueAnnual: 5000000
Restorepoint provides script-free network automation and universal console for secure access, auditing, and automation across multi-vendor network infrastructure. It automates network configuration backups, compliance audits, change management, access recording, and inventory tracking to reduce cost, improve security, and increase availability and compliance.

Value Proposition & Features

ScienceLogic provides service-centric observability and AIOps for hybrid, cloud, and distributed IT environments, combining monitoring data with relationship context to help teams identify and resolve operational problems faster. [E1] The platform is aimed at turning infrastructure telemetry into actionable insight and automated workflows. [E1]
  • Hybrid infrastructure monitoring: Monitors IT infrastructure across cloud and distributed architectures. [E1]
  • Application monitoring: Supports application visibility as part of the ScienceLogic AI Platform. [vsdcr4]
  • AIOps and event correlation: Uses AI-driven operations to identify patterns and prioritize operational issues. [vsdcr4]
  • Relationship mapping: Provides dependency and service context for interpreting alerts and incidents. [E1]
  • Workflow automation: Integrates monitoring with IT workflows and automation. [E1]
  • Network management: Includes network monitoring and management capabilities. [vsdcr4]
  • Low-code data collection: Provides protocol-specific collection tools for REST, CLI/SSH, SNMP, Prometheus, JMX, WinRM, and PowerShell. [vsdcr4]
  • AI-assisted operations: Skylar AI includes Advisor and Analytics capabilities for managing, anticipating, and preventing IT incidents. [vsdcr4]

Screenshots

No three publicly available official screenshots were identified in the retrieved results.

Product Roadmap / Announcements

As of October 9, 2026,
  • October 6, 2026: ScienceLogic announced Skylar AI 2.7, adding agent-routing traces, tool catalogs, granular controls for agentic functions and Model Context Protocol tools, and document inspection for risky content before knowledge-base ingestion. [yoy30b]
  • September 28, 2026: ScienceLogic’s community release notes announced Skylar AI 2.7.0 updates to Skylar Advisor and Skylar Analytics. [vsdcr4]
  • September 15, 2026: ScienceLogic announced Skylar AI 2.6, emphasizing observability, verification, governance, and MCP-server integrations for agentic AI operations. [vsdcr4]
  • August 2026: Search results referenced Skylar AI 2.5 with sovereign-cloud, on-premises, and secure-cloud deployment options, expanded AIOps integrations, and AI-governance controls, but no higher-authority primary announcement was retrieved. [6bi3c0]

Recent Developments

  • ScienceLogic announced Skylar AI 2.7 at Nexus Live 2026, with controls for agent routing, tool selection, MCP capabilities, and potentially malicious knowledge-base content. [yoy30b]
  • ScienceLogic announced Skylar AI 2.6 in September 2026, extending secure deployment with stronger agentic capabilities and AI-layer visibility and governance. [vsdcr4]
  • ScienceLogic received a 2026 TrustRadius Tech Cares Award for community impact, according to its own blog. [vsdcr4]
  • ScienceLogic released Low-code Tools v105, adding unified collection modules and protocol-specific tooling for monitoring and data collection. [vsdcr4]

History and Origin Story

ScienceLogic was founded in 2003 and is headquartered in Reston, Virginia. [E1] The retrieved material does not identify the founders or provide a reliable detailed account of the company’s early history; a current leadership announcement identifies Dave Link as chief executive officer and cofounder. [yoy30b]

Fundraising History

Round Date Amount Lead investor
Series C December 1, 2013 USD 11.0M No reliable lead identified
Series D February 19, 2015 USD 43.0M No reliable lead identified
Debt financing November 5, 2018 USD 25.0M No reliable lead identified
Series E February 23, 2021 USD 105.0M No reliable lead identified
Venture October 21, 2022 USD 21.2M No reliable lead identified
Total — USD 235.2M reported total —
[E1]

Market Sizing

Category, Market Size, and Category Growth

ScienceLogic operates in the IT operations management, infrastructure monitoring, observability, and AIOps categories. [E1] The retrieved results describe the product and its capabilities but do not provide a sufficiently authoritative market-size or category-growth estimate from an analyst firm or financial publication.

Pricing

Pricing tier Price
Free trial Not publicly priced
Enterprise/demo Contact ScienceLogic
ScienceLogic publicly indicates a free-trial and demo-based pricing model, but no reliable public tier prices were retrieved. [E1]

Revenue Trajectory Estimates

ScienceLogic’s supplied company metadata reports annual revenue of approximately USD 121.25 million . [E1] No reliable multi-year revenue trajectory or ARR series was retrieved.

Competitive Landscape

Who it's for, who it's not for

ScienceLogic is aimed at enterprises, service providers, and government organizations managing hybrid-cloud, distributed, and complex IT environments that need centralized observability, AIOps, relationship context, and automation. [E1] It is particularly relevant where teams need infrastructure, application, network, and workflow data combined in one operating model. [vsdcr4]
It is less suitable for small teams seeking a lightweight, single-purpose monitor with transparent self-service pricing, because the available pricing model emphasizes demos and enterprise evaluation rather than published packages. [E1]

Viable Alternatives

  • Splunk Observability : A competing observability platform combining infrastructure, application, and operational analytics.
  • Virtana: An IT operations and AIOps alternative focused on hybrid-infrastructure discovery, monitoring, and event correlation, as reflected in the related vault note: Virtana .
  • DataDog : A cloud monitoring and observability alternative for infrastructure, applications, logs, and distributed systems.
  • Dynatrace: An enterprise observability and AIOps alternative emphasizing automated dependency analysis and application intelligence.
  • New Relic: An observability alternative focused on application performance, infrastructure, logs, and telemetry analytics.

Competitor Table

Competitor Description
Splunk Observability Enterprise observability combining infrastructure, application, and operational analytics.
Virtana Hybrid-infrastructure monitoring and AIOps focused on discovery, performance, and event correlation.
Datadog Cloud-native monitoring and observability across infrastructure, applications, logs, and distributed systems.
Dynatrace Enterprise observability with automated dependency analysis, application intelligence, and AIOps.
New Relic Telemetry analytics and observability for applications, infrastructure, logs, and digital experiences.

Sources

Sources (retrieved)

[E1] Exa.ai API response for data on ScienceLogic

[E2] Exa.ai API response for data on Restorepoint