Fabrix.ai, formerly CloudFabrix, launches an agentic AI platform combining data, automation, and AI fabrics to enable autonomous IT operations and workflows.
CloudFabrix rebranded to Fabrix.ai and unveiled a modern operational intelligence platform to transform IT operations through agentic AI during the 60th IT Press Tour in Silicon Valley. The platform combines three key components - data fabric, automation fabric, and AI fabric - to enable organizations to build and deploy autonomous AI agents to handle complex IT tasks and workflows.
What is Agentic AI?
Unlike traditional AI approaches focusing on simple query-response interactions, agentic AI employs AI agents that can reason about tasks, break them down into subtasks, and execute actions autonomously to achieve specific outcomes. These agents can analyze data, make decisions, and take corrective actions with minimal human intervention.
The Three-Fabric Architecture
Fabrix.ai's platform consists of three integrated layers:
Data Fabric - Built on the company's Robotic Data Automation Fabric (RDAF), it integrates over 1,000 data sources and handles data ingestion, transformation, enrichment, and routing through telemetry pipelines.
Automation Fabric - An outcome-driven workflow framework that orchestrates agents, automation, and data. It can integrate with third-party tools like Cisco BPA, Red Hat Ansible, and Terraform.
AI Fabric - The orchestration layer that enables building, deploying, and managing AI agents with built-in guardrails and quality controls. It works with various large language models to drive agentic workflows.
Key Use Cases
The platform supports several critical IT operations use cases:
Service Level Objective (SLO) Management & Anomaly Detection: Agents monitor metrics and alert on unusual patterns that could indicate security breaches or outages
Network Digital Twin: Creates virtual network replicas for testing changes, predicting maintenance needs, and managing access control changes
Closed Loop Remediation: Agents automatically detect and fix issues like failed applications or resource constraints
Business Impact
Early adopters report significant benefits:
90%+ reduction in alert noise
Streamlined operations across multiple teams
Real-time visibility into asset dependencies
Improved CMDB accuracy
Enhanced executive and customer visibility
The platform is particularly relevant for telecommunications providers and managed service providers dealing with complex, multivendor environments and high volumes of operational data.
Building Custom Agents
Organizations can create custom agents using conversational prompts, making it easier for teams to automate specific workflows without extensive coding. The platform includes guardrails and quality controls to ensure agents operate within defined parameters.
Industry Recognition
Analysts view Fabrix.ai's approach as innovative in the $32B observability and AIOps market. The company has received recognition from Gartner, Forrester, and industry experts for its data-centric approach to IT operations.
Customer Experience
"We're excited to enhance our ITOps with their new agentic AI capabilities," said an executive from Tata Communications. "This will enable us to achieve greater operational efficiency, agility, and resilience by automating complex tasks and enabling proactive and autonomous remediation."
The company maintains partnerships with major technology providers, including Cisco, IBM, NVIDIA, and HPE, making it easier for enterprises to integrate the platform into their existing environments.
Fabrix.ai's platform represents a significant evolution in IT operations, moving beyond traditional monitoring and automation to enable genuinely autonomous operations driven by AI agents. As organizations grapple with increasing complexity and data volumes, this approach could help bridge the gap between human operators and increasingly complex IT environments.
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