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CloudFabrix Rebrands as Fabrix.ai

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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CloudFabrix Rebrands as Fabrix.ai

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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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...