NetAI

NetAI is network operations software for teams that need to connect topology and telemetry to diagnosis and response. It suits service providers, enterprise networks, and cloud or data-center operators; its free Core tier makes it practical to start with a small device estate.

Overview

NetAI combines network monitoring with topology mapping, performance analytics, configuration management, and custom dashboards. Its GraphIQ product applies graph neural networks to correlate events across protocols, detect anomalies, identify root causes, and automate remediation. That breadth can help teams move from seeing an alert to understanding and addressing its likely cause, though the higher-scale and specialized products require sales contact rather than a published price.

Key features

Monitoring and analysis

NetAI Core discovers network topology automatically and provides monitoring, alerting, interactive maps, analytics, configuration management, and customizable dashboards. For operators managing varied infrastructure, support for more than 200 vendors—including Cisco, Juniper, Arista, Palo Alto, Fortinet, AWS, Azure, and GCP—offers broad coverage. Its listed protocols include SNMP, syslog, NetFlow, NETCONF, gNMI, SSH, and REST APIs, alongside others. The breadth is useful for mixed environments; teams should still confirm that their particular devices and workflows are covered.

Root-cause analysis and response

GraphIQ is the analysis layer: it correlates events across protocols, predicts anomalies, and supports automated remediation as well as deterministic root-cause analysis. NetAI also advertises workflow automation, which can connect operations findings to action. These capabilities are relevant where alert triage and repetitive response burden network teams, but GraphIQ has custom pricing, so it is not a low-friction choice for buyers who need a clear public cost before evaluating it.

Integrations and edge operations

NetAI names ServiceNow, Jira, and BMC Remedy as ITSM integrations, and also identifies Zendesk for enterprise networks. EdgeView serves a different need: it provides edge diagnostics, self-service troubleshooting, real-time network visibility, field-team tools, and subscriber-level insights. It is aimed at operators dealing with distributed edge environments rather than teams seeking only a central network map.

Pricing

NetAI uses a freemium model, with the published starting price at $5.99/mo and a 14-day trial. The tier structure separates small Core deployments from larger estates and specialized products:

• NetAI Core Free: free for 1–10 devices, with the full Core platform and the option to upgrade anytime. This is a useful entry point for a small network, but the device cap rules it out as a lasting fit for larger environments.
• NetAI Core Enterprise: $5.99 a month, billed $5.99/device/mo, for 11–200 devices. It includes all Core capabilities and on-premises, cloud, or hybrid deployment. The per-device billing makes the unit cost explicit, while total spend rises with the number of devices.
• NetAI Core Pro: custom pricing for 201+ devices, including architecture review and sizing, with terms aligned to scale. Larger operators gain a tailored sizing process, but cannot budget from a public plan price.
• NetAI GraphIQ: custom pricing, with contact sales for pricing. Teams seeking its analysis and remediation capabilities need a sales conversation.
• NetAI EdgeView: custom pricing, with contact sales for pricing. This is the option for edge diagnostics and subscriber-level operations, rather than a published self-serve tier.

The AWS Marketplace deployment is an AMI with a 14-day free trial. NetAI also offers live demos tailored to a network environment. For on-premises deployments, the stated requirements are 8 vCPU, 32 GB RAM, and 500 GB SSD for up to 1,000 devices; 1,000 to 5,000 devices require 16 vCPU, 64 GB RAM, and 1 TB SSD. Those infrastructure needs matter when comparing on-premises use with cloud deployment.

Platforms

NetAI lists API, Linux, self-hosted, and Windows support. Deployment can be on-premises, in the cloud, or hybrid, with an air-gapped option for on-premises installation. That range suits organizations with deployment constraints or a preference to keep network operations software inside their own environment. Its privacy policy says it uses technical and organizational measures to protect personal information and does not sell that information to third parties.

Who it's for

NetAI is best suited to service providers, enterprise network teams, and cloud or data-center operators managing multi-vendor infrastructure. Core Free lets a small team begin with up to 10 devices, while the paid Core tier covers 11–200 devices. Larger deployments can consider Core Pro, and teams that need deeper event correlation or edge-focused subscriber insight can assess GraphIQ or EdgeView through sales. It is less suitable for buyers who require a public price for every capability or who need only a narrowly scoped alerting tool.

Pros and cons

• Pro: Broad protocol and vendor coverage makes Core relevant to mixed network estates rather than a single-vendor environment.
• Pro: Topology discovery, maps, analytics, and configuration management sit alongside monitoring, supporting both operational visibility and investigation.
• Pro: On-premises, cloud, hybrid, and air-gapped deployment options accommodate varied infrastructure and deployment requirements.
• Con: The free tier stops at 10 devices, and Core Enterprise is billed per device, so growing estates move beyond the free entry point quickly.
• Con: GraphIQ, EdgeView, and Core Pro use custom pricing, making comparison and budgeting harder for buyers who want upfront costs.
• Con: On-premises deployments require substantial compute and storage, particularly at up to 5,000 devices.

Alternatives

For a broader category comparison, browse AIOps Platforms. Consider BMC Helix AIOps if you want a paid product with API, Linux, web, and Windows platforms and are prepared to contact sales for pricing; unlike NetAI, it has no free plan. Selector is another paid option with a free plan and API, Linux, self-hosted, and web platforms.

Digitate ignio AIOps may suit buyers who want event-priced options: its listed IT Event Management plan is $0.10, paid once, billed per event, for noise suppression, AI correlation, and outage prediction; it also has a $0.30, paid once Document Assist plan. ScienceLogic AI Platform is worth considering for a paid product with a free trial, hybrid cloud observability, and 400+ out-of-the-box integrations; its Skylar One Standard plan starts at $5 a month, billed from $5 USD per device/month.

Causely is a paid alternative with a free trial and a Professional Edition at $2,000 a month for up to 500 services. Keep is a freemium alternative with a free plan and trial; its Growth plan costs $199 a month and includes 200 deduplicated alerts per month, unlimited ingested alerts, 100 workflows, 20 integrations, 10 users, and two weeks of data retention. IncidentFox is an open-source alternative with community support through GitHub and Slack. RADCOM AIM is another paid alternative.

Verdict

NetAI is a strong fit for network operators who need multi-vendor visibility alongside topology-aware diagnosis, and who value flexible deployment. Its free Core tier offers a concrete way to start, but its 10-device ceiling is narrow, while the most differentiated products and larger-scale plan move to custom pricing. Choose NetAI when breadth of network operations and deployment flexibility matter most; look elsewhere if predictable public pricing or a larger no-cost allowance is essential.