The AIOps pioneer, formerly CloudFabrix, building the Data, AI and Automation fabric that lets enterprises run IT operations with autonomous agents - and a human still in the loop.
In an industry crowded with companies that slapped an "AI agent" label on their homepage in 2025, Fabrix.ai spent the year doing something less fashionable: making sure the data underneath those agents was clean. The Pleasanton, California company - known until February 2025 as CloudFabrix - builds what it calls a Modern Operational Intelligence platform, a layered fabric of data, AI, and automation designed to let large enterprises build and run autonomous software agents across their IT operations.
The premise is straightforward and, for anyone who has run a network operations center, familiar. Modern enterprises drown in telemetry: logs, metrics, traces, tickets, and events pouring out of thousands of systems. Most of it is noise. When something breaks, engineers spend hours correlating alarms and hunting for a root cause before they can even begin to fix the problem. Fabrix.ai's answer is to ingest that flood from more than 1,700 data sources through prebuilt connectors and bots, normalize and enrich it, then hand it to AI agents that can correlate events across every domain, pinpoint root cause quickly, and route a safe remediation - with the operations team in control at every step.
That last clause is the one Fabrix.ai keeps returning to. The platform automates aggressively but stops short of acting on its own; a human approves the consequential move. It is a deliberately unglamorous position in a market that likes to promise fully hands-off autonomy, and it reflects the temperament of a founding team that has been building operations software for two decades.
"To build the AI data grid to power the autonomous enterprise."
Fabrix.ai was founded in 2015 by a team that had already done this dance three times. CEO Raju Datla, CTO Raju Penmetsa, Chief Product Officer Bhaskar Krishnamsetty, and Chief Development Officer Satyan Raju had previously built and sold three startups - Jahi Networks, Pari Networks, and Cloupia - all acquired by Cisco, the last reportedly for around $125 million. Those companies lived in cloud management, compliance, and automation, the same neighborhoods where Fabrix.ai now operates.
CO-FOUNDER & CEO
Sets company direction and leads the transition from data automation vendor to agentic AI platform.
CO-FOUNDER & CTO
Architect of the Robotic Data Automation Fabric that underpins the platform.
CO-FOUNDER & CHIEF PRODUCT OFFICER
Shapes the product roadmap across AIOps, observability, and agentic workflows.
CO-FOUNDER & CHIEF DEVELOPMENT OFFICER
Drives engineering execution and platform development.
Their funding approach fits the profile. Rather than raising a headline mega-round, the founders and insiders put in roughly $17 million in seed capital and later a $7.5 million Series A - about $24.5 million in all, per Crunchbase - largely eschewing venture capital to avoid dilution. It is a long-game posture that shows up in the product: incremental, enterprise-grade, and unhurried.
The foundation is RDAF - the Robotic Data Automation Fabric - which Fabrix.ai claims as an industry first. RDAF delivers integrated, enriched, and actionable telemetry pipelines to both operational and analytical systems, unifying observability, AIOps, and automation. On top of that data layer, the company added two more: an AI Fabric and an Automation Fabric, which together let teams build, deploy, and manage autonomous AI agents for ITOps workflows using plain conversational phrases.
Robotic Data Automation Fabric - ingests, normalizes, and enriches telemetry from 1,700+ sources into actionable pipelines.
Build governed AI agents for IT operations via conversational prompts, with guardrails and quality controls built in.
A generative AI assistant that auto-generates data pipelines, dashboards, and analytics for DevSecOps and ITOps teams.
Correlates events across domains, pinpoints root cause, and routes safe remediation - human in the loop.
Routes enriched telemetry to Splunk, Cisco Observability Platform, Dynatrace Grail, data lakes, and dashboards.
Asset and CMDB intelligence used for data center consolidation and service dependency mapping.
Fabrix.ai sells to large enterprises and service providers - Fortune 500 companies across telecom, healthcare, financial services, and manufacturing. Among its named references: one of the largest US telecom carriers, with more than $100 billion in revenue, that uses the Macaw GenAI assistant as a single pane of glass for operations, and a leading healthcare provider that uses its Digital Asset Intelligence solution for data center consolidation.
The shared problem is scale. At these organizations, no human team can watch every signal. The cost of a missed correlation is measured in downtime, SLA penalties, and burned-out engineers. Fabrix.ai's pitch is to give those hours back - to turn firefighting into building.
The AIOps market is well populated. Fabrix.ai competes with the likes of Moogsoft, BigPanda, ScienceLogic, Dynatrace, Datadog, and Splunk (now part of Cisco), along with a wave of newer agentic-ops entrants. Its differentiation is architectural: where many rivals bolt AI onto an existing monitoring product, Fabrix.ai built a data fabric first and layered AI and automation on top, arguing that agents are only as good as the enriched, contextualized data feeding them.
That is the meaning behind its three-word strategy - Data-First, AI-First, Automate Everywhere. It also explains the human-in-the-loop insistence: guardrails and quality controls keep agents operating within defined parameters, a selling point for regulated buyers in finance and healthcare who cannot hand production systems to a black box.
Analysts have noticed the consistency. Fabrix.ai has appeared as a leader in the GigaOm AIOps Radar for four straight years, and has drawn recognition from EMA, Forrester, and Frost & Sullivan. It is SOC 2 certified. None of this makes it the largest player in the category - it is not - but it has carved a durable position as the data-centric specialist.
"AIOps agents correlate events across every domain, pinpoint root cause fast, and route safe remediation - with your team in control at every step."
CAPITAL RAISED (APPROX., PER CRUNCHBASE)
The founders funded much of this themselves to avoid dilution - a deliberate choice for a company built to last rather than to flip.
B2B enterprise SaaS. Platform subscriptions for AIOps, observability, and agentic automation, sold directly and through global systems integrators.
Estimated annual revenue
Employees
Figures are public estimates and approximate; Fabrix.ai is privately held and does not disclose audited financials.
Rather than compete on every front, Fabrix.ai integrates. Its platform sits alongside the major observability and AI stacks, and it reaches enterprise buyers through a channel of global integrators.
Member of the NVIDIA Inception program; integrates NVIDIA AI Enterprise for GenAI workloads.
Unified network observability shown at Cisco Live; solution available on Splunk Enterprise and Cloud.
DXC, Wipro, WWT and Dhata Tech carry the platform into Fortune 500 accounts.
CloudFabrix Software is incorporated in the US and India.
The founding team formally launches to tackle data automation for IT operations.
Establishes itself as a data-centric AIOps platform vendor.
Introduces the industry's first Robotic Data Automation Fabric.
Launches the Macaw GenAI assistant and joins the NVIDIA Inception program.
Becomes Fabrix.ai, unveils its agentic AI platform, and lands Top 3 in the GigaOm AIOps Radar.
It provides a Modern Operational Intelligence platform - combining Data, AI, and Automation fabrics - that lets enterprises build and manage AI agents for IT operations, observability, and automation.
Yes. CloudFabrix rebranded to Fabrix.ai in February 2025; the legal entity is CloudFabrix Software, Inc.
It was founded in 2015 by Raju Datla (CEO), Raju Penmetsa (CTO), Bhaskar Krishnamsetty (CPO), and Satyan Raju - serial entrepreneurs whose prior startups were acquired by Cisco.
In Pleasanton, California, in the San Francisco Bay Area.
Robotic Data Automation Fabric - the foundational technology that ingests, enriches, and contextualizes telemetry from more than 1,700 data sources to power AIOps, observability, and agentic automation.
Sources: fabrix.ai, cloudfabrix.com, Crunchbase, Tracxn, PR Newswire, theCUBE Research, Blocks & Files. Figures marked approximate are public estimates.