Product Listings
PagerDuty AIOps helps teams reduce noise, triage efficiently to drive the right actions towards resolution, and remove manual, repetitive work from the incident response process. Teams such as NOCs, Major Incident Management Teams, as well as distributed service-owning teams can all realize improved MTTR, fewer incidents, and faster automation adoption. PagerDuty AIOps works out of the box without requiring long implementations or heavy, ongoing maintenance. Key capabilities include:
-Noise reduction per service and across services
-End-to-end event-driven automation
-ML-assisted triage that leads to next best action
-Visibility across services for better operational posture
Splunk IT Service Intelligence is a software designed to provide visibility into the health and performance of IT services and infrastructure. The software utilizes real-time monitoring, event management, and advanced analytics to aggregate data from multiple sources, enabling detection of anomalies and identification of root causes in operational environments. It offers features such as customizable dashboards, service health scores, and integrated alerting to support correlation of incidents and analysis of service dependencies. Organizations use the software to streamline incident response, reduce downtime, and enhance decision-making by providing actionable insights into complex IT landscapes and supporting business continuity through operational intelligence.
BigPanda Event Correlation and Automation platform, powered by AIOps, is built for large scale, complex IT environments. BigPanda helps organizations prevent and resolve IT outages by turning data into insights and automated tasks. IT operations teams at Fortune 1000 companies trust BigPanda to help them improve service availability, reduce operating costs, and increase business velocity.
BigPanda product capabilities:
IT Ops Event Correlation: Leverages Open Box Machine Learning to integrate, normalize and enrich alerts from 300+ unique monitoring, observability, change and topology tools into centralized location.
Root Cause Analysis: Identify changes in infrastructure and applications and pinpoint root cause of incidents and outages in real-time.
Level-0 Automation: Replaces human effort with automatic bi-directional syncing to create tickets, send relevant notifications and create war rooms, and connects to third-party Runbook Automation tools to provide workflow automations.
ilert is the cross-stack incident response layer where AI investigates and resolves incidents and pages humans only when necessary. ilert seamlessly integrates with your monitoring tools and extends them with reliable alerting, on-call scheduling and automatic escalations.
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.
ignio is a software developed to assist enterprises in managing and automating IT operations across a range of environments. It combines artificial intelligence, machine learning, and automation to analyze system data, detect anomalies, diagnose issues, and recommend or execute resolutions. The software offers features such as infrastructure monitoring, incident management, and predictive analytics, which help organizations enhance operational efficiency by reducing manual intervention and minimizing downtime. ignio aims to address challenges related to complex and large-scale IT ecosystems by providing insights, pattern recognition, and automated remediation to streamline business operations and support decision-making.
BMC Helix Observability & AIOps is a software designed to provide monitoring, analysis, and management of IT infrastructure and applications. The software offers features such as real-time observability, anomaly detection, root cause analysis, and predictive insights using artificial intelligence and machine learning techniques. It collects and correlates data from various sources within hybrid and multi-cloud environments to deliver a comprehensive view of system performance and availability. The software aims to help organizations reduce downtime, identify and resolve issues more quickly, and optimize resource utilization by automating incident response and providing actionable insights into IT operations.
Better Stack is a software that provides monitoring, logging, and incident management capabilities for infrastructure and applications. The software enables organizations to collect, search, and analyze logs in real-time, monitor system performance, and detect outages or anomalies. Features include automated alerting, uptime monitoring, and integrations with popular collaboration and workflow platforms. Better Stack supports incident resolution processes by centralizing information and facilitating communication between teams. The software is designed to help businesses identify and address operational issues quickly, aiming to maintain service reliability and streamline response efforts. It assists users in managing logs, understanding performance metrics, and coordinating incident workflows.
Fabrix.ai Platform enables observability, automation and analytics for IT operations by unifying data from diverse sources across hybrid and multi-cloud environments. The platform ingests and correlates structured and unstructured data to provide contextual insights for root cause analysis and incident remediation. It features capabilities such as event management, intelligent automation, predictive analytics, and low-code data integration, aiming to reduce manual operational tasks and accelerate decision-making. The platform addresses challenges related to IT complexity by helping organizations manage, analyze and act on operational data for improved performance and reliability of digital services.
Edwin AI is a software developed by LogicMonitor that integrates artificial intelligence and machine learning capabilities to enhance IT infrastructure monitoring and management. The software automates anomaly detection, predicts potential issues, and streamlines incident analysis across networks, servers, and cloud environments. It assists technology teams in identifying root causes of complex performance problems and optimizes data interpretation for more efficient troubleshooting. Through its advanced analytics and automated alerts, the software aims to reduce downtime and minimize manual intervention requirements, providing a systematic approach to maintaining operational stability in enterprise systems. Edwin AI is designed to solve challenges related to scaling monitoring processes, improving accuracy of problem identification, and managing increasingly dynamic IT ecosystems.
Moogsoft AIOps is a software designed to streamline IT operations by employing artificial intelligence and machine learning to automate incident detection, correlation, and resolution. The software offers features such as event management, noise reduction, root cause analysis, and automated workflows to help organizations identify and remediate IT issues faster. By processing large volumes of IT data, Moogsoft AIOps assists in reducing alert fatigue and supports proactive monitoring, enabling IT teams to maintain system availability and reliability. The software aims to address the business challenge of managing complex IT environments with limited resources, helping organizations minimize downtime and improve operational efficiency.
Interlink Software AIOps Platform is a software solution designed to support IT operations by automating event management, incident detection, and resolution processes. The software leverages artificial intelligence and machine learning to analyze large volumes of IT data from various sources, identifying patterns and correlations that help reduce noise, prioritize incidents, and predict potential issues. It facilitates faster root cause analysis and supports system reliability by enabling proactive management of IT environments. The platform addresses challenges such as operational inefficiency, alert fatigue, and extended downtime by providing actionable insights and presenting a unified view of the IT landscape to enhance decision-making.
Selector is a software designed to assist organizations in managing and optimizing network operations and performance. The software leverages artificial intelligence to analyze network data, detect anomalies, and provide actionable insights to address potential issues before they impact operations. Selector offers real-time visibility into network health, enabling users to streamline troubleshooting processes and minimize downtime. The software integrates with various data sources to correlate events across systems, helping teams identify root causes and reduce incident resolution times. Selector is aimed at improving operational efficiency for enterprises by automating root cause analysis and enhancing situational awareness within complex network environments.
Open 360 Platform is a software developed by Logz.io that delivers observability capabilities by integrating log management, infrastructure monitoring, and application performance monitoring within a single unified interface. The software enables users to collect, analyze, and visualize telemetry data from multiple sources, helping organizations detect and troubleshoot operational issues in distributed systems. Open 360 Platform leverages analytics tools for querying and correlating data to provide real-time insights into system performance and reliability. The software offers alerting features, reporting, and customizable dashboards to support operational decisions and improve incident response. By centralizing observability data, the software is designed to address challenges around monitoring, troubleshooting, and securing modern cloud-native and hybrid environments.
ServiceNow IT Operations Management provides visibility and management for IT infrastructure across on-premises, cloud, and hybrid environments. The platform discovers and maps IT assets, applications, and services through automated processes that populate a Configuration Management Database (CMDB). Service Mapping establishes relationships between configuration items. ITOM's AIOps capabilities aggregate and correlate alerts, metrics, and events from multiple monitoring tools. Event Management reduces alert noise through correlation and deduplication. Health Log Analytics applies machine learning to identify anomalies and predict incidents. The solution integrates with ServiceNow IT Service Management to automate incident creation, assignment, and remediation. Key capabilities include: Automated discovery and dependency mapping; CMDB maintenance; Event correlation and noise reduction; Anomaly detection and predictive analytics; Third-party tool integration; Incident workflow automation
Elastic Observability is a software designed to enable organizations to monitor and analyze distributed infrastructure and applications by integrating data from logs, metrics, traces, and uptime information. The software aggregates and visualizes operational data in real time, enabling detection of performance bottlenecks and failures across cloud-based, hybrid, and on-premises environments. It assists teams in troubleshooting, root cause analysis, and maintaining system reliability by offering search, filtering, and alerting features. Elastic Observability addresses the business problem of fragmented monitoring by providing a unified platform to streamline incident response and improve visibility into application and system performance.
DX Operational Intelligence is a software that provides organizations with advanced monitoring and analytics capabilities for their IT operations. The software utilizes artificial intelligence and machine learning to automatically detect anomalies, identify root causes, and predict potential issues across complex infrastructures. It integrates data from various sources, including application performance, infrastructure health, and user experience metrics, to deliver unified insights and automate remediation processes. DX Operational Intelligence addresses the business problem of maintaining optimal system performance and reliability, helping organizations manage incidents, reduce downtime, and improve service delivery efficiency across digital environments.
HPE OpsRamp is an IT operations management software designed to provide monitoring, incident management, automation, and service management for hybrid and multi-cloud environments. The software offers features for infrastructure discovery, event correlation, alert management, and performance analytics, enabling organizations to manage on-premises and cloud resources from a unified platform. It assists IT teams in identifying and resolving operational issues by providing visibility across servers, networks, applications, and cloud services. HPE OpsRamp facilitates workflow automation, compliance management, and integration with IT service management tools, addressing the challenge of maintaining efficient and reliable IT operations in complex enterprise environments.
IBM AIOps Insights is a software designed to enhance IT operations by utilizing artificial intelligence and machine learning capabilities to detect, diagnose, and resolve incidents across hybrid and multicloud environments. The software aggregates and correlates data from disparate monitoring systems, providing a unified view and enabling proactive identification of issues that could impact business services. Through root cause analysis and automated remediation features, the software aims to reduce downtime and manual intervention. It also offers customizable dashboards, event management, and integration with existing IT service management tools, supporting organizations in minimizing IT disruptions and improving operational efficiency.
Observo AI is a software designed to provide network observability solutions for modern cloud environments. The software offers features such as real-time monitoring, deep packet inspection, and data analysis across multi-cloud and hybrid infrastructures. It captures and processes network traffic data to provide visibility into application performance, security events, and infrastructure health. Observo AI supports integration with existing technology stacks and generates insights that assist organizations in identifying network issues, optimizing resource utilization, and maintaining reliable service delivery. The software aims to help businesses detect anomalies, troubleshoot incidents, and ensure compliance with operational requirements.