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Fabrix.ai
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Based on GetApp‘s extensive, proprietary database of in-depth, verified user reviews
Agentic AI agents for IT operations and AIOps
Table of Contents
Fabrix.ai - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: October 2026
Fabrix.ai overview
What is Fabrix.ai?
Fabrix.ai is an agentic AI operational intelligence platform for ITOps, NOCOps, SRE and AIOps teams. The FabrixONE platform combines a data fabric, an enterprise ontology and a library of prebuilt AI agents to investigate, reason about and act on incidents across every IT domain.
Core functions
• AI SRE and AIOps agents: event correlation, alert noise reduction, root cause analysis, incident assignment, anomaly detection and remediation with human-in-the-loop approval.
• NetOps agents: configuration compliance, ACL change audit with blast-radius analysis, NetFlow analysis, network anomaly detection, and BGP and routing intelligence.
• Observability agents: asset health reporting, uptime and availability, KPI forecasting and alert optimization.
• Asset intelligence agents: SACM, lifecycle and capacity analysis, plan-of-record, upgrade spotting and compliance audit.
• SecOps agents: automated reconnaissance, user behavior analysis, patch prioritization, compliance mapping and control validation.
• Agent-0 copilot, Agent Studio and Fabrix VibeOps for building custom agents, apps and workflows in natural language.
Agent architecture
• Agent Control Plane: agent observability, cost and token insights, agent evaluators, and security guardrails.
• Agent Harness: living enterprise ontology, context and cache engine, agentic data federation (agents query data where it lives, without duplication), and a Universal MCP Server that generates MCP tools for any API-driven or legacy system with zero code.
• Multi-LLM: OpenAI, Anthropic, Google Gemini, Meta Llama and more; runs natively on NVIDIA GPUs.
Data fabric
• 2,000+ data bots for API calls, filtering, aggregation, enrichment, routing, ML training and inferencing; new bots via SDK.
• Universal ingest of metrics, events, logs, traces, incidents, tickets, CMDB and topology; agentless; streaming, batch, push and pull; protocols include SNMP, REST API, OpenTelemetry, NETCONF/YANG, gNMI, Splunk forwarders and HEC.
• Telemetry pipelines: in-memory, inference, event-driven, scheduled and action pipelines; OpenTelemetry conversion; many-to-many routing to Splunk, Dynatrace Grail, data lakes and other targets to cut storage costs.
• Pipeline Studio: Jupyter-style, low-code environment for building and testing pipelines.
• Agentless discovery of a full-stack application dependency map with no CMDB dependency, plus enrichment with business context, Geo IP and threat intelligence.
Integrations
250+ integrations, including Dynatrace, Datadog, New Relic, Splunk, Elastic, IBM QRadar, ServiceNow, Jira Service Management, BMC, PagerDuty, SolarWinds, PRTG, Zabbix, ScienceLogic, Prometheus, Grafana, Cisco Meraki, Catalyst Center, Nexus Dashboard, Cisco vManage, Juniper Mist, Arista, VMware vCenter and VeloCloud, Kubernetes, NetApp, Pure Storage, HPE, Dell, Infoblox, CrowdStrike, Fortinet, AWS, Azure and Google Cloud.
Security and deployment
• SOC 2 certified; deploy on-premises, in a private or sovereign cloud, or as SaaS on AWS.
• SSO through SAML/OAuth identity providers; credentials are not stored in the platform; granular role-based access by tenant, role and project.
• TLS for data in transit, AES-256 encryption on the data fabric message bus, encrypted storage for configuration data.
• Container platform hardened to NIST 800-190; separate tenant workspaces; audit and activity logs; security scans on every release.
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Fabrix.ai’s user interface
Fabrix.ai reviews
Overall rating
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- Likelihood to recommend10/10
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Fabrix.ai's key features
Most critical features, based on insights from Fabrix.ai users:
All Fabrix.ai features
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Fabrix.ai alternatives
Fabrix.ai pricing
Value for money rating:
Starting from
4
/user
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User opinions about Fabrix.ai price and value
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Fabrix.ai support options
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