New Report: Gartner names Fabrix.ai in 4 Agentic AI reports -  Download Now

AI Agents That
at Enterprise Scale

Prebuilt agents for ITOps, NOCOps and AIOps.
Gartner-recognized across 4 Agentic AI reports Trusted by Fortune 500 enterprises SOC 2 certified · On-prem or cloud

One Agentic Platform.
One Control Plane.

Start with one team today. Expand across ITOps, NetOps, SREOps, and BizOps - without rearchitecting anything.

  • Deploy production-grade agents in days, not quarters
  • Shared data foundation - no silos, no duplication
  • Scale from pilot to enterprise-wide - seamlessly
  • Enterprise security, governance, and full AI observability built in
The Agentic Enterprise Platform

From Alert to Resolution without the Human Guesswork

Your tools see the symptoms. Fabrix.ai agents find the cause, propose the fix, and act - with your team in control.

Agent Driven and Augmented Operations

Most teams have too many alerts and not enough answers. Fabrix.ai's RCA Agent investigates across every data silo - logs, metrics, changes, config - surfaces the root cause, and routes a remediation plan for human approval. Your engineers stay in control. Your MTTR drops dramatically.

  • Deep root-cause intelligence across every data silo
  • Automated anomaly detection and early warning
  • Accelerated incident resolution - slash MTTR significantly
  • Safe, explainable remediation with human-in-the-loop approval
  • Reduce alert fatigue with intelligent noise suppression
See the RCA Agent in Action

Agents That Understand Your Environment - Not Just Your Alerts

A live Enterprise Knowledge Graph - continuously mapping every entity, dependency, and topology across your entire IT environment.

Enterprise Knowledge Graph - mapping every entity, dependency and topology across your IT environment

Most AI agents fail because they don't know your environment. Fabrix.ai's Enterprise Knowledge Graph gives every agent a live, continuously updated map of every entity, dependency, and topology in your IT estate - so they reason with full context, not just pattern-matching.

  • A living map of every entity, dependency, and topology - updated in real time
  • Agents that reason with full context - across every team and domain
  • Proactive risk detection and optimization - not just reactive troubleshooting
  • Automate complex, cross-domain operations your teams shouldn't own manually
  • One shared intelligence foundation - from CloudOps to SecOps to DevOps
  • Every agent grounded in real-time knowledge of your hybrid IT environment
Why Siloed Observability Is Holding Your Teams Back

Explore how unified agentic operations - grounded in a shared Enterprise Knowledge Graph - fundamentally changes how enterprises operate at scale.

Read Blog
Why a Fortune 500 Picked Fabrix.ai

Hear directly from a global enterprise on why traditional tools failed them - and how Fabrix.ai's agentic platform delivered where others couldn't.

Watch Video

Built From the Ground Up for Production AI Agents

Not a wrapper around an LLM - a full-stack agentic runtime with data federation, memory, tooling, and AgentOps built in.

Fabrix.ai - One Vertically Integrated Platform for ITOps and SREOps
Multi-LLM - cloud or on-prem
Agentic Data Federation - zero data copy
Universal MCP - connect any tool or legacy system
Full AgentOps - observability, cost & guardrails

Put AI Agents to Work

One agentic platform to design, deploy, operate, and observe AI agents - on-prem or cloud

Stop reacting to symptoms. Get full-stack visibility across your ITOM stack - then pair it with autonomous agents that cut noise, detect anomalies early, and reduce MTTR before an incident escalates.

Key Agents:
  • Asset Health Reporting Agent
  • Uptime & Availability Agent
  • Anomaly Detection Agent
  • KPI Forecasting Agent
  • Alert Optimization Advisor
See all Observability Agents
Fabrix.ai Observability Agents
Key Benefits:
Full-Stack Visibility:

Unified observability across cloud, on-prem, and hybrid infrastructure.

Intelligent Noise Reduction:

Agents correlate and suppress alert noise before it reaches your team.

Proactive Anomaly Detection:

Identify emerging issues and forecast failures before they impact services.

Too many alerts, not enough answers. Fabrix.ai's AIOps agents correlate events across every domain, pinpoint root cause fast, and route safe remediation - with your team in control at every step.

Key Agents:
  • RCA Agent
  • Incident Assignment Agent
  • Anomaly Detection Agent
  • Remediation Agent
  • DEX Analyst
See all AIOps & SRE Agents
Fabrix.ai AIOps and Digital SRE Agents
Key Benefits:
Accelerated RCA:

Pinpoints primary failure cause across domains in minutes, not hours.

Intelligent Automation:

Safe, explainable remediation executed with guardrails and full audit trail.

Human-in-the-Loop Safety:

Your team approves every action - transparency and control at every step.

Proactive network intelligence - from config compliance to traffic analysis. Fabrix.ai NetOps agents detect drift, audit changes, and surface anomalies before they impact services.

Key Agents:
  • Config Compliance Agent
  • ACL Change Audit Agent
  • Netflow Analysis Agent
  • Network Anomaly Detection Agent
  • BGP & Routing Intelligence Agent
See all NetOps Agents
Fabrix.ai NetOps Agents
Key Benefits:
Continuous Compliance:

Detect config drift and policy violations the moment they happen.

Change Intelligence:

Audit every ACL and config change with full context and blast-radius analysis.

Traffic & Flow Analysis:

Netflow intelligence that surfaces anomalies and capacity risks before they escalate.

Always know what you own, where it is, and what it's doing. Fabrix.ai's Asset Intelligence agents deliver real-time inventory, lifecycle health, and capacity insights - so you stay compliant, secure, and cost-efficient.

Key Agents:
  • SACM Asset Intelligence Analyst
  • Asset Lifecycle & Capacity Analyst
  • Asset Plan-of-Record Agent
  • Asset Upgrade Spotter
  • Compliance & Audit Agent
See all Asset Intelligence Agents
Fabrix.ai Asset Intelligence Agents
Key Benefits:
Real-Time Inventory:

Continuously updated asset records across cloud, on-prem, and hybrid environments.

Lifecycle & Cost Intelligence:

Know what to refresh, retire, or right-size - years in advance.

Compliance Readiness:

Audit-ready asset records with dependency mapping and control validation.

Get more from your Splunk investment. Fabrix.ai agents accelerate onboarding, clean and enrich your data, and surface actionable insights across Splunk Core, Cloud, and ITSI - faster than any manual process.

Key Agents:
  • Splunk SIEM Agent
  • Data Prep & Ingestion Agent
  • ITSI Analyst & Resilience Agent
  • Service Desk Agent
  • PlatformOps Analyst
  • Data Analyst Agent
Fabrix.ai SIEM and Splunk Agents
Key Benefits:
Faster Time to Value:

Accelerate Splunk onboarding and data prep with zero manual configuration.

Richer Insights:

Enrich Splunk data with full IT context from the Enterprise Knowledge Graph.

Decisive Action:

From ITSI service health to incident response - agents drive outcomes, not just dashboards.

Unify VAPT, SOC, and GRC with agentic speed and governance you can trust. Shrink dwell time, prove control health, and automate safely - with full human oversight.

Key Agents:
  • Automated Reconnaissance Agent (VAPT)
  • Exploit Assistant (VAPT)
  • User Behavior Analysis Agent (SOC)
  • Patch Prioritization Agent (SOC)
  • Compliance Mapping Agent (GRC)
  • Control Validation Agent (GRC)
See all Cybersecurity Agents
Fabrix.ai Cybersecurity Agents
Key Benefits:
Shrink Dwell Time:

Detect and respond to threats faster with agents that work across SOC, VAPT, and GRC.

Proven Control Health:

Continuous compliance mapping and control validation - audit-ready at all times.

Safe Automation:

Every automated action governed by guardrails, explainability, and human approval.

Your tools don't need to wait for their vendors to ship MCP support. Fabrix.ai dynamically generates MCP tools for any system - modern or legacy, API-driven or not - with zero code. Every tool in your stack becomes agent-ready immediately, maximizing the return on your existing investments.

Agents available today for:
  • Dynatrace · New Relic · Datadog
  • ServiceNow · Jira Service Management
  • SolarWinds · PRTG · Zabbix
  • Cisco Meraki · Catalyst Center · Nexus Dashboard
  • Cisco Firepower · Juniper Mist · VMware vCenter
  • Splunk · Elastic · IBM QRadar
  • NetApp · BMC · HPE · Infoblox · Prometheus · Grafana
  • AWS · Azure · GCP · Any Legacy System
⬡ Fabrix.ai Agentic Platform Any Tool · Any System CISCO Cisco Dell Dell Technologies VMware VMware SolarWinds SolarWinds ScienceLogic ScienceLogic New Relic New Relic Dynatrace Dynatrace NetApp NetApp Juniper Juniper Mist splunk> Splunk ServiceNow ServiceNow BMC BMC Software HPE HP Enterprise Zabbix Zabbix PRTG PRTG Elastic Elastic Jira Jira PagerDuty PagerDuty Grafana Grafana Prometheus Prometheus Infoblox Infoblox IBM IBM

Dynamic MCP tool generation - zero code, any system, agent-ready instantly

Key Benefits:
Maximize Existing Investments:

Every tool you already own becomes agent-ready - without rip-and-replace or new vendor contracts.

No Code, No Wait:

MCP tools generated dynamically for any system - modern APIs or decades-old legacy, it doesn't matter.

Unified Agent Control:

One control plane governs agents across all your tools - Fabrix.ai built or your own.

AI Observability

Every AI interaction - traced, explained, and under control.

One dashboard for AI across your entire business - teams, apps, and providers. See usage, outcomes, and spend at a glance, then drill into any team, agent, or run.

  • Snapshot by department / team / app / provider
  • Cost, requests, and tokens at a glance
  • Leaderboards: top users, agents, personas
  • Provider & model mix - share and trends
  • One-click drilldowns: org → team → run
Explore AI Observability
Fabrix.ai Enterprise-Wide AI Observability Dashboard

Know exactly where every dollar and token goes. Slice by model, team, user, persona, or agent - then drill into any run to understand what drove the cost.

  • KPI tiles: cost, requests, tools, tokens
  • Cost by LLM / user / persona / agent
  • Trends: volume & cost over time
  • Tokens: input vs. output, cache savings
  • Mix: provider share, agent vs. copilot, tool domains
  • Reliability: success rate, failed-run cost
  • Drilldowns: user & agent usage tables
Fabrix.ai Cost and Token Insights Dashboard

Every agent run leaves a complete trace - from the first prompt to the final action. See every tool call, every model invocation, every branch and retry, with full payload visibility and PII masking built in.

  • Persona → Prompt → Context → Tools → LLM → Result
  • Payload view with redaction & PII masking
  • Retries, fallbacks, branching and loops
  • Latency breakdown per step - exportable traces
Fabrix.ai AI Interaction Flow Tracer

Make every AI decision transparent, auditable, and defensible. Every run includes a complete decision trace - reasoning chain, tool calls, evidence, and policy checks - so you can explain any outcome to any stakeholder.

  • Chain of thought and full reasoning trace
  • Tool call log with parameters and returned outputs
  • Prompt & context snapshots - full LLM input/output view with redaction
  • Run metadata: model, version, MCP tools, persona & scopes
Fabrix.ai AI Explainability Dashboard

Don't guess which model is best for your use case - prove it. Run side-by-side model evaluations on your own data and rank quality, cost, and reliability before you deploy.

  • A/B/C tests per use case
  • Metrics: accuracy, factuality, coherence, safety
  • Ops: tool calls, latency, tokens, $/result
  • Human ratings + ground-truth scoring
  • Leaderboards, recommendations, audit reports
Fabrix.ai Model Evaluators

Trusted by Enterprises
Proven in Production.

See how customers are using Fabrix.ai to unify data, automation, and AI into real business outcomes.

Fabrix.ai SOC 2 Certified

Enterprise-Grade Security
Built In, Not Bolted On

SOC 2 certified. On-prem or private cloud deployment available. Role-based access controls, full audit trails, and guardrails built into every agent interaction - so your security and compliance teams stay in control.

NVIDIA Inception Program Member

NVIDIA Integration Ready

Fabrix.ai integrates with your NVIDIA GPU infrastructure as the inference layer for AI agents. Whether you use NVIDIA NIM microservices or an open-source model-serving stack — on bare metal, private cloud, or NVIDIA-hosted cloud endpoints — Fabrix.ai agents connect to those LLM endpoints natively, so you get full agentic AI powered by the GPU infrastructure you already own.

NVIDIA GPU Acceleration NIM Microservices Nemotron & Open-Source LLMs On-Prem · Private Cloud · NVIDIA Cloud
Learn About Our NVIDIA Integration
NVIDIA Inception Program - Fabrix.ai

How to Build a Business Case for AIOps in your Organization?

AIOps Operating Model & Its Economic Benefits

- ROI -

457

- Benefits PV -

$
6

- NPV -

$
5

- Payback -

4

Fabrix.ai in Media

Check our latest News & Press Releases

FabrixAI EMA
FabrixAI EMA
FabrixAI EMA
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AgentOps
Fabrix.ai's Enterprise-grade Agentic AI Platform
Forbes

Image courtesy: Forbes Technology Council
How Fabrix.ai Redefines Observability from the Ground Up
Gartner
Gartner
Gartner
Fabrix.ai 5G Observability

Key Customer & Partner Engagements

Aurora Healthcare
Citi
Happiest Minds
HDFC
JDA
Jubiliant
Kontoor
LTI Mindtree
OTP Bank
Server Central
Sify
Tokio Marine
WWT

Recognized by Leading Analyst Firms

For Observability, AIOps & GenAI

How Fabrix.ai is enabling Top-Tier IT Organizations

Audie Murphy

VP of Technology, Significance, Inc

“In one week, Fabrix.ai delivered more Agentic AI than others have in months.”

That’s not marketing language - it’s execution. There’s a big difference between talking about agentic AI and actually delivering it. Our teams build real, production-grade agents, that drive outcomes - not just whiteboard concepts.

Discover How a Tier-1 Service Provider Transformed their Network with Our
AI-Powered Telco Service Assurance Solution

Fabrix.ai's (Formerly CloudFabrix) AIOps platform has already delivered significant value to Tata Communications. Correlating and deduplicating multiple events from disparate sources and triggering actionable alerts, has helped us in improving efficiency and productivity of engineers, said...

Robert Antonyraj
Vice President | Tata Communications

As application landscape is becoming increasingly complex with multi-cloud and hybrid environments, the enterprise maturity model needs to evolve from chaotic to reactive to proactive and predictive levels. Data is at the heart of this transition and Robotic Data Automation Fabric is paramount for this transformation. Cisco along with its portfolio of Appdynamics, Thousand Eyes and Intersight and along with top tier partners like Fabrix.ai (Formerly CloudFabrix) is well positioned to meet these challenges.

Gregg Ostrowski
Executive CTO | Cisco AppDynamics

IT is no longer a supporting function; IT is at the center stage of the digital ecosystem and is increasingly driving business value. The client's solution stack is becoming extremely complex with On-Prem, Hybrid, IaaS, PaaS and SaaS deployment models and AIOps is paramount to move to an Intelligent AI driven IT solution. IBM has comprehensive AIOps framework to discover, observe, analyze, prescribe using an open technology stack. We boast a wide ecosystem of partner solution including Fabrix.ai (Formerly CloudFabrix) and remediation and visualization solutions using IBM Technology such as Instana and Turbonomics.

Meenakshi Srinivasan
Partner, Global DevSecOps Practice at IBM Consulting

As our customers are going through their Digital transformation, several of the applications are getting redesigned to be cloud native with IaaS, PaaS, serverless as their hybrid underlying platforms. They are thus losing the visibility they had with their monolithic static application stacks, not to mention the deluge of data. This is driving the need for AIOps and why we have decided to partner with Fabrix.ai (Formerly CloudFabrix). Additionally building trust in AIOps boils down to defining KPI's and measuring the success against these KPI's whether they be improving MTTR (Mean Time to Resolution), Incident management, improving productivity and this begins with the data quality at hand

Girish Chandangoudar
Vice President, Happiest Minds

Fabrix.ai (Formerly CloudFabrix) will help to tell me where I have to refresh the infrastructure for performance and asset management reasons, three to five years out. And if I need to refresh part of the infrastructure, Fabrix.ai (Formerly CloudFabrix) showed me the cost in terms of capital and operational expenditures. I could just plug in a number, targeting 500 assets per year and Fabrix.ai (Formerly CloudFabrix) would provide all the relevant data. It is amazing!

Sr. Director
NetOps, Healthcare

Fabrix.ai (Formerly CloudFabrix) helps us to identify incident outliers, to better understand if it’s a repeated offense. We can review incidents over the same day, the last week, the last six months, or twelve months, or whatever timeframe is a priority, and see what’s been repeated and what’s not. We can also see what the root cause analysis for the incidents were and map these to changes made and code revisions across the infrastructure.

IT Director
Command Center, Financial

When I was pursuing my use cases for network and data center planning, I already knew that Fabrix.ai (Formerly CloudFabrix) could serve more of our stakeholders. When we introduced it to engineering and operations, they found more and more value, for instance in real-time incident and problem management, where Fabrix.ai (Formerly CloudFabrix) does a lot of magic in the background to put incidents in context. We’re increasingly hearing, ‘I don’t need to dedicate my people to a waste of manual effort. This tool can do it!

Sr. Director
Major Incident Management, Insurance

cfxCloud delivers strong value in the assimilation of preexisting monitoring and other toolset investments, so insights can be visualized more cohesively and more dynamically. Using cfxCloud, we exceeded what their vendors could do significantly-integrate both event and metric data and reduce the lag from two to three minutes to less than three seconds.

Sr. Enterprise Architect
Infrastructure Services, Telecom & Networking

Above all, what we liked about cfxCloud was the fact that it was outcomes-driven. Rather than just looking proactively at different data, which was itself of value, with cfxCloud we were able to take that up a level and relate what was happening to business outcomes and business objectives. That was good for our business because most CIOs we sell to are focused on business outcomes.

Practice Lead
IT Modernization & Transformation, MSP

Maximizing Business Resilience: How a Top Athletic Apparel & Footwear Brand Leveraged Network Asset Intelligence. Fabrix.ai’s asset intelligence platform has been instrumental in helping us prioritize our network assets and make data-driven decisions about network security and investment. The platform’s dashboards provide clear insights into asset risk and potential financial impact, enabling us to optimize our network for both performance and cost-effectiveness.

Case Study: Athletic Apparel & Footwear Brand

Leading Healthcare Provider accelerates Datacenter Consolidation with Asset Intelligence Solution. The client is a leading healthcare provider with two large hospitals merged in 2021, forming a Top 10 US Hospital Group. Post-merger, the customer has 4 core data centers, 26 hospitals and 500 care facilities and over 70,000 employees. The client runs the largest EPIC software install in the World (EPIC is the leading healthcare management software)

Case Study: Healthcare Provider

Fabrix.ai's platform has been a game changer for us. It’s a single platform that gives us network visibility and control across domains, saving us millions. Plus, it integrates seamlessly with existing tools, making it easy to expand and manage our entire network ecosystem - VP, IT and Network Services - Tier-1 Service Provider.

Case Study: Fabrix.ai's Telco Service Assurance

The client is a large retail company based in the US. They recently expanded their market through the acquisition of regional brands with their physical stores and introduced their own e-commerce offerings. Fabrix.ai deployed its Incident Room App and Asset Dependency Mapping app seamlessly integrating with the client’s existing disparate data sources.

Case Study: Incident Resolution

Europe based multi-national chain of personal care and fashion brand stores have multiple data centers across the world. They have employed monitoring and log analytic tools to monitor key metrics and events from their IT assets on a continuous basis. These tools are configured to analyze the data against static thresholds and raise alerts when, out of range events are detected. These alerts are logged as tickets in their ticketing system which need to be attended to and acted upon by their service desk teams.

Case Study: Alert Noise Reduction & Predictive Insights