Fabrix.ai Inc., previously known as CloudFabrix, has evolved from focusing on providing a data-driven artificial intelligence operations platform to now offering an agentic platform for information technology operations.
The Fabrix.ai platform 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. With its broader focus, Fabrix.ai continues to drive innovation in robotic data automation and data fabric, while continuously integrating additional AI capabilities.
There are three components to the Fabrix.ai operational platform:
- Agentic AI – Agent-driven automation with an enterprise grade agentic platform
- Generative AI copilot – Incident management, asset intelligence and storyboards
- Cisco-specific solutions – Fabrix.ai integration with Splunk, Fabrix.ai integration with OutShift by Cisco Systems Inc., its innovation incubator
Growing demand in telecommunications
As Fabrix.ai has evolved, it has become an operations platform optimized for telecommunications and service providers. The solution takes advantage of the demand for interoperable agents, which OutShift calls the internet of agents: Autonomous agents work to discover, collaborate and exchange information the way the internet itself enables people to acquire useful information and work together.
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. There are multiple checks and balances to ensure no erroneous processing of data. The multi-agent orchestrator uses all inference time compute and storyboards to manage lifecycles and provide full visibility.
Charting a differentiated course
One of the biggest differentiators for Fabrix.ai is the ability to work with real-time data. That’s something that not all automation vendors can do today. What makes automating operations challenging is alerts and events coming in real time. IT professions struggle to take immediate action on these as the analytics platforms can’t process the underlying telemetry to provide a solution in real time.
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.
The company counts Indian giant Tata Communications among its customers, as well as other large service providers in the U.S. and globally that it can’t yet publicly name. The company also sees growth from OEM relationships with partners that wrap services around the Fabrix.ai platform.
Enterprises typically are forced to run multiple tools — AIOps, campus analytics, capacity planning, network automation and the like, with a requirement to restrict access to authorized users or groups. Fabrix.ai has created tools that are divided by specific domains. Each persona is assigned to a user group, so each authorized user will only have access to the specific tools or data sources based on their assigned persona. This is how checks and balances are handled to ensure that no erroneous event happen.
During a call, the Fabrix.ai provided an example of its storyboard.
“We start by providing a conversational phrase, for example, ‘monitor all change requests for ACL, and if a specific ACL is blocking access to complete the endpoint, opening access to known risky assets, which are dangerous,’” said Shailesh Manjrekar, chief AI and marketing officer at Fabrix.ai. “The platform creates what we call a task graph. Think of it as a graph of thoughts, or a chain of thoughts. Each node has a particular purpose, and we can test this individually with positive and negative tests. There are all kinds of explainability, reasoning and observability built into the platform to ensure that no errors occur.”
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.
The company’s evolution from observability into a fully capable agentic platform addresses automation without customers having to rip and replace the tools they’re currently using. The new platform is well-designed to meet the needs of telcos and enterprises today and into the future. Given the interest in using AI today to simplify operations and reduce operational expenses, Fabrix.ai should be well-positioned to take advantage of the growing AI wave.
