Company Profile · Enterprise AI
Fabrix.ai
Production-grade agentic AI for the parts of the enterprise no one sees until they break - IT, network, security and business operations.
Production-grade agentic AI for the parts of the enterprise no one sees until they break - IT, network, security and business operations.
Every technology cycle produces a wave of AI demos that dazzle in a conference room and dissolve the moment they meet a live production system. Fabrix.ai has spent the better part of a decade working the opposite corner of the problem: the 3 a.m. page, the cascading outage, the ticket queue that never empties. Its pitch is not that AI can be clever. It is that AI can be trusted to act inside the machinery that keeps large organizations running.
Headquartered in Pleasanton, California - the Bay Area's Tri-Valley, a short drive and a world away from the marquee ZIP codes of Palo Alto - Fabrix.ai builds an enterprise platform for designing, deploying, operating and observing AI agents. Those agents live in IT operations, network operations, security operations and, increasingly, business operations. The company was founded in 2015 as CloudFabrix, and for most of its life it was known for a mouthful of a term: the Robotic Data Automation Fabric. In February 2025 it took a new name that says the quiet part out loud. The future, it decided, is agents - and it bet its identity on them.
Figures compiled from public filings, analyst reports and company materials. Funding total is an approximation drawn from third-party databases.
Fabrix.ai's architecture rests on a simple observation: an AI agent is only as capable as the data it can reach and the actions it is permitted to take. So the platform is organized around three "fabrics." The Data Fabric ingests and connects telemetry across the enterprise - logs, metrics, events, assets - and stitches it into what the company calls a Living Ontology, a knowledge graph of how the business actually works. The AI Fabric orchestrates agents and manages their lifecycle. The Automation Fabric turns their decisions into outcome-driven workflows: remediation, root-cause analysis, escalation.
The problems it targets are the ones that quietly drain large operations teams - alert fatigue, brittle runbooks, mean-time-to-resolution measured in hours, and the growing gap between the volume of machine signals and the number of humans available to read them. Rather than replace those humans, Fabrix.ai frames its agents as governed colleagues: explainable, cost-tracked and kept on a leash by an Agent Control Plane with human-in-the-loop checkpoints.
An enterprise knowledge graph, fed by 1,000+ data bots and telemetry pipelines, that gives agents a working model of the business before they act.
Governance, observability, cost tracking and human-in-the-loop guardrails - the answer to the question "who watches the agents?"
Coordinates multi-agent workflows across IT, network and security domains, wiring reasoning to real remediation.
Fabrix.ai ships pre-built agents alongside the tools to build your own, delivered through cfxCloud (SaaS) and cfxEdge for on-premises and hybrid deployments.
The flagship: design, deploy, operate and observe agents across operations, built on the Context-Control-Orchestration pillars.
Semantic data integration with 1,000+ data bots and telemetry pipelines - the original engine of the old RDAF.
Pre-built agents for AIOps / Digital SRE, Observability, NetOps and Asset Intelligence.
ServiceOps, DataOps, SecOps and BizOps agents for the wider enterprise.
Dynamically generates MCP tools so agents can reach both legacy and modern systems - the plumbing of the agentic era.
A conversational copilot that puts the platform behind a natural-language interface.
AIOps and observability is a well-populated market - Dynatrace, Datadog, Splunk, ServiceNow, BigPanda, Moogsoft and PagerDuty all stake claims to slices of it. Fabrix.ai's differentiation is less about dashboards and more about action: it treats the knowledge graph and the control plane as first-class citizens, and it wires agents to execute governed remediation rather than simply surface insights. Its Universal MCP Server, aimed squarely at legacy integration, is a bet that the hardest part of the agentic transition is connecting the old systems, not the new models.
ILLUSTRATIVE ANALYST FOOTPRINT - GARTNER AGENTIC AI MENTIONS (2025-26)
Bars indicate the categories in which Fabrix.ai has been cited as a representative/sample vendor; they are illustrative, not ranked scores.
B2B enterprise SaaS and software licensing, delivered through cfxCloud and cfxEdge across cloud, on-premises and hybrid deployments. Fabrix.ai reaches customers directly and through systems integrators, managed service providers and cloud marketplaces.
AWS
Selected as the agentic operational intelligence platform for the AWS MSP Recommended Toolkit.
Large enterprises and service providers in telecommunications, healthcare, financial services and manufacturing, plus global systems integrators and MSPs.
Publicly referenced logos and partners include IBM, Cisco, Splunk, Tata Communications, HPE, DXC, LTIMindtree, Genpact and Aurora Healthcare.
Fabrix.ai is led by serial entrepreneurs Raju Datla, co-founder and CEO, and Satyan Datla, co-founder and chief development officer. Before CloudFabrix, Raju Datla founded Cloupia, a cloud infrastructure automation company - a lineage that shows in Fabrix.ai's instinct to automate the operational layer rather than the application layer. Shailesh Manjrekar, the company's chief AI and marketing officer, has become its public voice on data fabrics, intelligent agents and low-code operations.
The expertise sits at an unusual intersection: deep IT operations plumbing on one side, and modern agent orchestration on the other. That combination - a data-automation company that grew up in observability, now building agents - is what lets Fabrix.ai talk credibly about legacy integration and governance while newer entrants start from a blank model.
Raju and Satyan Datla launch the company in Pleasanton, focused on data automation for IT operations.
The company introduces RDAF, its data-first approach to feeding AIOps and observability with pipeline-driven context.
Cited by GigaOm, EMA and Forrester across AIOps, observability and automation categories.
In February the company rebrands and restructures around a tri-fabric agentic architecture; earns multiple Gartner agentic AI mentions.
Named across six Gartner research reports and selected for the AWS MSP Recommended Toolkit.
Product walkthroughs and executive interviews live on the company's official channel.
► Fabrix.ai on YouTube ► Agentic AI Platform overview ► DocumentationReporting by YesPress Newsroom. Compiled from public sources including Fabrix.ai, Gartner and industry press. Some figures are approximate; where a detail could not be verified it has been omitted.