Fabrix.ai
Also known as: CloudFabrix, RDAF, Robotic Data Automation Fabric
Agentic AI operational intelligence platform for ITOps, NOCOps, and AIOps, built on a Robotic Data Automation Fabric with agent lifecycle management, guardrails, and seventeen hundred plus connectors.
Fabrix.ai, formerly CloudFabrix, evolved its Robotic Data Automation Fabric into an agentic operational intelligence platform for IT operations. Three fabrics work together: a Data Fabric that integrates more than seventeen hundred sources through prebuilt connectors and bots, normalizing and enriching telemetry so language models operate on curated data; an AI Fabric that orchestrates agents; and an Automation Fabric that executes actions such as opening tickets, sending notifications, and running remediations.
Users create agents from task descriptions or predefined templates, which the platform translates into a task graph of query, generation, decision, and action nodes. Lifecycle management covers review, dry run, test on sample data, scheduled or event triggered deployment, and decommissioning, with AI guardrails that keep agents on task, data and action privilege management, and agent observability and quality control as named framework components.
The company is a GigaOm AIOps Radar leader, appears in multiple Gartner agentic AI reports across AI SRE and observability, and partners with Cisco and IBM, with Tata Communications among its customers. Fabrix.ai is headquartered in Pleasanton, California, led by CEO Raju Datla, with Series A backing including Tri-Valley Ventures per Crunchbase.
Vendor details
Canonical URL
https://www.fabrix.ai
Category
Enterprise operations agent
Subcategory
Agentic AIOps and operational intelligence
Funding status
Series A; Tri-Valley Ventures listed per Crunchbase, most recent round September 2024 per Crunchbase batch data
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
More than seventeen hundred data sources via prebuilt connectors and bots; bidirectional ITSM integration that keeps CMDBs current; partnerships and integrations with Cisco (AppDynamics, ThousandEyes, Intersight) and IBM (Instana, Turbonomic); telemetry pipeline routing to multiple destinations.
In practice
A NOC team correlates and deduplicates events from disparate monitoring tools into actionable alerts, as Tata Communications describes, cutting analyst noise
An SRE describes a remediation task in plain language; the platform builds a task graph, the team dry runs and tests it, then deploys it on an event trigger
An enterprise uses real time topology discovery and bidirectional ITSM sync to keep its CMDB an accurate source of truth as agentic workflows multiply
Sources & related URLs
Research sources
Capability coverage
12.0 / 14 capabilities · 86%
| Integrations & Tool CallingThe Data Fabric integrates more than seventeen hundred data sources through prebuilt connectors and bots, with bidirectional ITSM integration and partner integrations across Cisco and IBM tools. thecuberesearch.com analysis and fabrix.ai homepage retrieved 2026-07-08. | Full |
|---|---|
| Workflow OrchestrationThe AI Fabric is an agent driven distributed orchestrator executing task graphs of query, generation, decision, and action nodes, with the Automation Fabric performing actions like ticketing and remediation. fabrix.ai blog and rebrand PR retrieved 2026-07-08. | Full |
| Knowledge Grounding & RAGThe data fabric normalizes and enriches telemetry with semantic overlays so language models operate on curated, contextualized data, explicitly reducing hallucination risk versus plain RAG. thecuberesearch.com analysis retrieved 2026-07-08. | Full |
| Human Oversight & GuardrailsAI Guardrails ensure agents adhere to the defined task and do not deviate, with data and action privilege management for agents and review and dry run steps before deployment. fabrix.ai blog and rebrand PR retrieved 2026-07-08. | Full |
| Security, Identity & GovernanceThe AI Fabric lets customers securely build, deploy, and manage agent lifecycles with guardrails and quality controls, and manages data and action privileges for agents. rebrand PR and fabrix.ai blog retrieved 2026-07-08. | Full |
| Observability & AuditabilityObservability is a core platform pillar with agent visibility and observability named in the agentic framework, plus composable dashboards, real time topology, and application dependency mapping. fabrix.ai blog and cloudfabrix.com retrieved 2026-07-08. | Full |
| Memory & State PersistenceThe data fabric maintains curated operational state and topology, and agentic anomaly detection adapts and learns from past anomalies; a dedicated agent memory layer is not separately documented. fabrix.ai blog retrieved 2026-07-08. | Partial |
| Deployment & Data ResidencyRDAF runs on cfxCloud and can run entirely in cloud, on premises, or hybrid, extended to the edge via cfxEdge. fabrix.ai about page retrieved 2026-07-08. | Full |
| Prebuilt Agents, Templates & PacksUsers create agents from predefined templates or new task descriptions, and the platform ships prebuilt connectors, bots, and composable services, dashboards, and pipelines. fabrix.ai blog and cloudfabrix.com retrieved 2026-07-08. | Full |
| Triggers & Channel CoverageAgents deploy on a schedule or triggered by events, action nodes trigger other agents, and telemetry pipelines route data across multiple destinations. fabrix.ai blog retrieved 2026-07-08. | Full |
| Model Flexibility & RoutingThe AI Fabric integrates with disparate large and small models and curated datasets to drive agentic workflows, using reasoning LLMs as a named framework component. rebrand PR and fabrix.ai blog retrieved 2026-07-08. | Full |
| APIs, SDKs & MCP ExtensibilityA low code and no code platform with composable pipelines and bot based architecture supports extension; a formal public API, SDK, or MCP interface is not detailed on retrieved pages. cloudfabrix.com and fabrix.ai blog retrieved 2026-07-08. | Partial |
| Testing, Debugging & OptimizationAgent lifecycle management documents review, dry run to simulate without execution, test on sample data for limited iterations, deploy, and decommission, plus a named agent quality control and assurance module. fabrix.ai blog retrieved 2026-07-08. | Full |
| Browser & Computer UseNo browser or computer use capability documented; agents act through the data and automation fabrics. fabrix.ai pages retrieved 2026-07-08. | Unable to verify |
Pricing
Contact sales
likely data volume or monitored nodes; not published
What is public
Product capabilities, deployment options, and the proof of value motion are public; commercial terms are not.
Billing mechanics
Not publicly documented; proof of value then contract via sales or partners.
Cost watchouts
Likely priced by data volume or monitored footprint; deployment model (cfxCloud, on premises, hybrid, edge) affects the quote; partner led deals may bundle differently.
Variable cost rationale
Enterprise AIOps platforms typically price by data ingestion volume, hosts, or nodes monitored, which scales with the deployment footprint; no metering is published, so exposure is inferred from the category.
Additional watchouts
Enterprise procurement with partner channels; expect data volume or node based pricing typical of AIOps.
Sales call required
Yes — required for paid access
Free / trial
Proof of value engagement via sales or partners; no self serve tier documented
Key ambiguities
Pricing axis and figures are entirely unpublished; deals often route through Cisco or IBM partnerships.
Missing data
All pricing figures, billing axis, trial terms.
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