Best AIOps Platforms (2026): Top 10 Compared

BigPanda describes itself as an agentic IT operations platform and presents it as the next step from AIOps. It does not replace monitoring tools. It ingests their alerts through an open integration hub, correlates them into incidents, and adds context so that first responders see probable root cause and a suggested action before they start investigating.

The platform is organised into AI Detection and Response, an AI Incident Assistant, AI Incident Prevention and an IT Knowledge Graph. Feature pages list incident correlation, automated triage, root cause analysis, similar-incident lookup, change risk management and problem management. BigPanda positions AI agents to take on repetitive L1 work, including work currently outsourced to service providers.

BigPanda places weight on its ServiceNow integration, arguing that correlated incidents reduce ticket volume in ServiceNow ITSM. It states that the platform works with imperfect data from the start. It cites a median ROI of 430% from its own report. Pricing is quoted after a demo.

ScienceLogic sells an AI platform built around Skylar One, its hybrid infrastructure monitoring and event management product. Skylar One Standard covers hybrid cloud monitoring, infrastructure and application observability, event management, business service visibility and behavioral correlation, with more than 400 out-of-the-box integrations and SSO and API access. The Advanced tier adds Skylar Automation, a low-code workflow designer with over 100 prebuilt automations.

Skylar AI is the analytics and guidance layer. Skylar Analytics provides predictive alerting, anomaly detection and data visualisation, and Skylar Advisor turns alert noise and operational knowledge into prioritised, explainable guidance with a conversational interface. Skylar Compliance is a separate network configuration backup, change detection and audit product.

Pricing is unusually open for the category. The pricing page lists per-device monthly prices for Skylar One and Skylar Compliance and explains that usage is metered by the number of nodes or managed devices the customer configures. ScienceLogic offers a 14-day test drive.

LogicMonitor is a hybrid observability platform, and Edwin AI is its AIOps layer. The pricing page lists three platform packages billed per Hybrid Unit: Essentials, Advanced and Signature, with Edwin AI event intelligence included in Signature. Edwin AI uses unsupervised machine learning and event enrichment to reduce alert noise.

The Edwin AI page describes compressing thousands of alerts into a small number of prioritised incidents that already carry topology and CMDB context. Related alerts from network, infrastructure, applications and third-party tools are grouped into one incident and routed to the right team. Operators can ask Edwin AI in plain language what broke and what is affected, and it checks logs, metrics, recent deployments and past incidents to identify a cause.

A separate add-on supplies specialised AI agents for investigation, remediation, collaboration and knowledge capture. LogicMonitor states it has more than 2,300 customers in over 30 countries. All plans can be trialled for 15 days.

OpsRamp is now sold as HPE OpsRamp Software, a hybrid cloud observability and operations product from Hewlett Packard Enterprise. HPE groups its features into hybrid observability and monitoring, AI-powered event intelligence and intelligent automation, presented as one control plane for on-premises, multicloud and AI-native environments.

Service maps expose dependencies across applications, infrastructure and, as HPE describes, AI agents, models and tools. An AI Operations Copilot highlights service-affecting alerts and guides resolution; HPE claims up to 90% less alert noise. Automation covers routine fixes such as patching, restarts and incident remediation. The OpsRamp documentation describes an agent that collects metrics and discovers assets and a gateway for agentless monitoring of on-premises networks.

HPE positions OpsRamp alongside HPE Morpheus, HPE CloudOps and GreenLake. It cites Aon, which replaced legacy monitoring across more than 500 offices. Pricing is not published.

ServiceNow Event Management is part of ServiceNow IT Operations Management (ITOM). The product documentation describes an application that collects events from monitoring sources, identifies likely causes and turns them into alerts that operators can analyse, group and act on. Events can trigger automatic actions, and administrators configure event rules, event field mapping and event binding.

Alert grouping consolidates related alerts into sets so that operators prioritise one issue rather than many notifications, using correlation rules. Integrations with external monitoring tools run through connectors and listeners. The documentation also references ITOM AIOps applications as dependencies of the Event Management application.

The main reason to choose it is location. Alerts land in the same platform as incident, change and problem records, so no integration is needed between the AIOps layer and the ITSM tool. The documentation states that Event Management is sold as a separate subscription from the core platform. ServiceNow does not publish a price list.

BMC Helix Operations Management with AIOps, presented as BMC Helix AIOps, is sold by BMC Helix, which now operates its own site for its service management, AIOps and observability products. The product page centres on automated root cause analysis and remediation recommendations.

Noisy alerts from several monitoring tools are grouped into single incidents while keeping their service context, and correlation draws on events, metrics, logs, changes and topology together. Two named agents extend this. The Deep Root Cause Analyzer refines its root cause hypotheses over time, and the Ops Swarmer brings people, data and insights into a Microsoft Teams bridge during an incident. Remediation can be pre-approved, policy-driven or self-healing.

BMC Helix cites customer outcomes of 75% faster mean time to resolution and up to 30% less manual effort; these are vendor-selected examples. Observability is sold as a related product. Pricing is available on request.

Dynatrace treats AIOps as a property of its observability platform rather than a separate product. The AIOps page describes Dynatrace Intelligence, which combines causal AI with generative AI. It performs automated root cause analysis by correlating metrics, logs, distributed traces, user experience data and topology at the same time, and also takes in external signals such as CI/CD pipeline events and cloud platform data.

Dynatrace says it evaluates very large numbers of topology dependencies to return a single root cause for each problem instead of a list of correlated alerts. Findings can trigger workflows for automated remediation. Dynatrace states it is a Leader in the 2026 Gartner Magic Quadrant for Observability Platforms.

Pricing is published as a rate card. Host monitoring has three tiers billed by the hour, Kubernetes monitoring is priced per pod, and logs and metrics are charged on ingest, retention and query. A free trial is available.

Splunk IT Service Intelligence (ITSI) is Splunk's AIOps product, now part of Cisco. It models IT services, attaches KPIs and dependencies to them, and rolls them up into health scores and real-time dashboards so that operators can prioritise work by customer, revenue and operational impact.

Event iQ handles correlation. It applies event correlation, topology and fuzzy matching to group related alerts into episodes, so operators work a smaller set of incidents with more context. Event iQ Diagnose adds AI-generated episode summaries and change context to speed root cause analysis. The current release also lists a redesigned workspace, integration with Cisco AI Canvas, tag-based management, extended access controls and flexible maintenance windows.

The Splunk pricing page places ITSI under workload or ingest pricing and notes more than 30 preconfigured dashboards and more than 300 metrics and events. Figures are given by quote.

PagerDuty AIOps is an add-on to the PagerDuty Operations Cloud that works on events before they become incidents. Noise reduction uses built-in machine learning models or rules the customer writes. Event Orchestration and Automation runs event-driven actions across technical services, and triage features use correlation and agents to identify probable root cause. An Operations Console gives a central view of time-critical incidents during major events.

Pricing is published. AIOps starts at $699 a month billed yearly or $799 billed monthly, and it is licensed per accepted event, meaning valid events received through email integration or the events API with a successful response. Buyers must hold at least one user on a Professional or Business incident response plan. PagerDuty Advance, its generative and agentic AI add-on for incident management, is sold separately.

PagerDuty states that more than 30,000 companies use its products. A 14-day full-featured trial is available.

IBM Cloud Pak for AIOps is IBM's event and incident layer for hybrid IT. The product page describes four unified capabilities. Unified Event Management collects alerts and updates from more than 90 monitoring tools across applications, networks and systems. Unified Anomaly Detection finds problems the underlying tools miss and correlates data that looks normal in any single tool. Unified Visibility builds a real-time topology map from those tools. Unified Incident Management shows how incidents propagate, prioritises them, and supplies recommended and automated runbooks.

IBM frames the outcome as moving from very large volumes of noisy alerts to a few actionable incidents through deduplication, anomaly detection and event correlation. Case studies include Electrolux, The Masters, Taiwan's NCHC and APIS IT, the Croatian government IT agency.

Pricing is modular and quoted. IBM includes restricted Red Hat OpenShift and publishes installation guides, system requirements and a reference architecture.