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Introducing Fabrix.ai

Modern Operational Intelligence Platform for the Agentic AI Era

Fabrix.ai Powered Solutions

Enabling Autonomous & AI Driven IT Operations

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Business risk and compliance insights with agentless discovery, asset insights, and CMDB synchronization

  • Reduce Data Collection Costs
  • Maintain Accurate Inventory
  • Synchronize to CMDB
  • Identify Dependent Applications
  • Track Asset Compliance
  • Manage Asset Wastage
  • Identify Aging/Obsolete Assets
  • Reduce Support Costs
  • Plan Technology Refresh
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Unified observability for multi-vendor network, infrastructure & systems leveraging open telemetry, intelligent insights, and predictive alerting

  • Real-time health and performance insights
  • Baselining, Dynamic thresholding
  • Anomaly detection, Forecasting
  • Predictive Alerting
  • KPI Workbench
  • Telemetry Pipelines
  • Open Telemetry, Netconf, Yang etc.
  • SNMP, Bulkstats, gNMI, gRPC, APIs
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Leverage AI to process vast IT operations data, reducing incident volume, accelerating resolution, improving predictability, and enhancing IT productivity.

  • Real-time health and performance insights
  • Bring Your Data & Tools
  • Full-Stack Topology/ADM
  • Contextualization and Data Enrichment
  • Cross-domain event correlation
  • Alert noise reduction
  • Auto Incident remediation
  • Auto RCA. MTTD/MTTR Reduction
  • Predictive Insights
  • AI Agents, Gen AI Copilot
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Create a dynamic, real-time virtual replica of your network to analyze, optimize, and manage operations with precision and efficiency.

  • Real-time health and performance insights
  • Real-Time Network Modeling
  • Continuous Data Synchronization
  • Full-Stack Topology and Dependencies
  • Telco Service Assurance
  • Service Modeling
  • Service Impact Analysis
  • What-If Analysis, Predictive Analytics and Insights

Agentic AI Capabilities to Automate Operations & Workflows

Agent Builder

Effortlessly create your own agent with a prompt, or clone and modify existing agents.

Agent Lifecycle Manager

End-to-end agent lifecycle management, including creation, dry-runs, scheduling, deployment, decommissioning etc.

Guardrails & Quality Control

Ensure agents don’t perform harmful tasks. Track and manage Agent performance, efficiency and outcomes

Agent Task Graph

Breaks down user prompt into smaller tasks and automically builds dependencies and flows to complete the job.

Bringing together Data, Automation and AI to power Modern IT Operations

Fabrix.ai Joins The NVIDIA Inception Program

We are thrilled to avail the benefits and leverage critical relationships through the NVIDIA Inception Program

 

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

Key Customer & Partner Engagements

Case Studies

See what customers are saying about Fabrix.ai
Athletic Apparel & Footwear Brand

How a Top Athletic Apparel & Footwear Brand Leveraged Network Asset Intelligence

Healthcare Provider

Leading Healthcare Provider accelerates Datacenter Consolidation with Digtal Asset Intelligence Solution

Telco Service Assurance

Customer is one of the largest Telecom service providers in the United States, with 100B+ revenue.

Incident Resolution

Large Retail Company in the US gains major time savings with Automated Incident Resolution

Alert Noise Reduction & Predictive Insights

Optimize IT Operations: Alert Suppression, Alert Deduplication and Forecasting

Recognized by Leading Analyst Firms

For Observability, AIOps & GenAI

Trending News & Insights

How Fabrix.ai is enabling Top-Tier IT Organizations

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
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