CloudFabrix announced its corporate rebranding to Fabrix.ai.
The rebranding to Fabrix.ai represents a natural evolution of the company's mission to provide a Modern Operational Intelligence platform for businesses to build, deploy, and manage AI Agents that streamline complex tasks, accelerate digital transformation, and foster intelligent workflows. This transformation embodies Fabrix.ai's vision to empower enterprises with AI capabilities that are not just accessible but also seamlessly integrated into daily operations.
Under the new name, Fabrix.ai announced the evolution of its Robotic Data Automation Fabric (RDAF) into a Modern Operational Intelligence platform for the Agentic AI era. The Robotic Data Automation Fabric (Data Fabric) is now extended with an AI Fabric and an Automation Fabric to build, deploy, and manage autonomous AI agents for ITOps Agentic Workflows using simple conversational phrases.
The platform employs three building blocks, working in tandem to accomplish outcomes-
- AI Fabric - is an AI agent-driven distributed orchestrator that enables customers to securely build, deploy, and manage Agents' lifecycles, ensuring guardrails and quality controls. It integrates with disparate large and small models, curated datasets, and automation to drive Agentic Workflows.
- Automation Fabric - is an outcome-driven Agentic Workflow framework that integrates Agents, Automation, and Data to build Agentic Workflows. It is dynamic and extensible and can also integrate with other third-party engines like Cisco BPA, NSO, Redhat Ansible, or Terraform.
- Data fabric - Robotic Data Automation Fabric (RDAF) is a semantic-based data fabric that provides data integration with 1000+ data bots, data ingestion, data transformation, enrichment, and data routing, using Telemetry pipelines to your choice of source and destination.
Key tenets of Fabrix.ai Agentic AI Framework include:
Agent Orchestration and Lifecycle Management
AI Guardrails
Managing Data and Action Privileges for Agents
Visibility and Observability of Agents
Agent Quality Control and Assurance
Reasoning LLMs
Some examples of AI agents driving Agentic workflows are as follows -
- SLO / KPI Management agent / Anomaly detection - Example: An agent that monitors network traffic and alerts on unusual spikes or drops in activity, potentially indicating a security breach, network outage, or performance issue
- Network Digital Twin for Service Assurance - Example: An agent that creates a Digital Twin of the Network and creates baseline and what-if scenarios, predictive scenarios for service assurance and predictive maintenance, and change management scenarios for ACL (Access Control List) changes
- Closed Loop Remediation agent - Example: An agent that automatically detects failed applications or infrastructure, performance issues or resource constraints and provisions or scales up network capacity or cloud resources to meet increased demand or does change management.
In addition to the out-of-box agents, businesses and partners can create their own agents with simple conversational prompts, thus democratizing Agentic workflows for enhanced productivity, reduced risk, and improved ROI.
"Our transition to Fabrix.ai marks an exciting new chapter in our company's journey," said Raju Datla, CEO of Fabrix.ai. "Our rebranding to Fabrix.ai is not just a change of name but a testament to our commitment to leading the AI revolution in the ITOps space. We're excited to introduce a platform where AI agents become the backbone of productivity, driving efficiency and intelligent decision-making across organizations."
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