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Fabrix.ai’s platform offers automated network observability including guardrails, Model Context Protocol and agent-to-agent interfaces to streamline repetitive, time-consuming IT operations use cases

May 29, 2025 //  by Finnovate

Fabrix.ai Inc., previously known as CloudFabrix, delivers a purpose-built agentic AI operational intelligence platform that enables enterprise users to streamline IT operations use cases, make better decisions more quickly and successfully accelerate digital transformation. Fabrix.ai’s intelligent agents take over repetitive, time-consuming operational workloads for its enterprise customers, delivering increased agility and cost efficiency. There are three components to the Fabrix.ai operational platform: Agentic AI; Generative AI copilot; and Cisco-specific solutions. The company views its platform as having a unique capability to focus on automation, particularly in network observability. Running a network tends to be more stochastic than deterministic, so providing enterprises and service providers a solution requires additional building blocks, including guardrails, Model Context Protocol or agent-to-agent interfaces, and Fabrix.ai has built those. While Fabrix.ai continues to work closely with Cisco and telcos, the company is also branching out to serve customers in other areas, including AI security.  One of the biggest differentiators for Fabrix.ai is the ability to work with real-time data. Fabrix.ai leverages many of the common building blocks, but the platform is purpose-built for IT ops use cases rather than trying to modify a generic AI model. Its focus on handling real-time information has enabled it to get traction in key verticals, especially telco. Fabrix.ai also leverages its growing partner ecosystem to bring its capabilities to more enterprise customers. The company can use whatever data platform a customer has, including Splunk, Elastic, OpenSearch, MinIO, HP or others. Or it could be a data lake, since it has partnerships with many of the data platforms and its data abstraction layer can read directly from the platforms.

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Category: AI & Machine Economy, Innovation Topics

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