Agentic AI Platform

Operationalize AI Agents at Scale for Modern Autonomous Operations

Agentic AI Platform for
Modern Autonomous Operations

Operationalize AI Agents at Scale with Gen AI, Copilot, Agent Lifecycle Manager, Orchestrator, Guardrails, RAG, LLM integrations and more.

AgentOps Capabilities

Enterprise Grade Capabilities from build to observe - guardrailed, auditable agents engineered for enterprise scale.

Support featured LLMs. On-Prem or Cloud. Seamless Integration. Nvidia Ready
Provides context caching for optimal token usage, allows LLMs to work with very large datasets.
Enforce safety, policy, and intent checks on every run-blocking non-compliant prompts and destructive actions-via seamless integrations with dedicated models and providers
Per-persona data masking for Agentic AI. Sensitive fields are masked before prompts reach the LLM and optionally unmasked client-side when rendering results—end-to-end auditable
Allow LLM access to your data and tools using MCP protocol. Built-in MCP server. Dynamically add new MCP tools with no-code.
Set of instructions for LLMs to process data and results tailored to your use case. Modifiable from UI. No code.
RBAC‑like scoping presents only persona‑relevant MCP tools and data to LLM, improving accuracy and governance.
From prompt to production agent—prototype in Copilot, iterate, then simply ask to create Agent with persona, tools, prompts, and workflow auto-packaged
No-code, drag-and-drop approach to easily build and operate agentic workflows. Built-in task library.

AgentOps - Full-Lifecycle Control for Enterprise AI Agents

Build • Operate • Observe — only on Fabrix.ai

Agentic Data Federation

Agents access data where it lives and federate insights in real time — with zero copy

Enterprise data is fragmented, and centralizing it no longer scales. Agents go to the data and unify insights — without moving it.
  • Real-time access at the source
  • Reduced integration overhead
  • Faster insights
  • Lower platform cost
Agentic Data Federation

AI Meeting Bots Were Just the Beginning. Meet the AI Collaborator

At Fabrix.ai, we build AI agents — what we call Digital Workers — that are purpose-built for IT operations domains: NetOps, SecOps, SREOps, FinOps, and more

  • Old meeting bots just listen — they never take action.
  • Fabrix agents actively work — joining meetings and responding to voice commands in real time.
  • 30 seconds vs. 20 minutes — full root cause analysis delivered while the team is still on the call.
  • Built-in security — per-meeting tokens, human approvals, and complete audit trails.
  • AI as a teammate — persistent context, proactive, and predictive.
Read Blog: Meet the AI Collaborator

Build Agents

Effortlessly create your own agent with a prompt or start from a template. Customize & iterate or activate right away.

  • Prompt-to-Agent
  • Start with templates
  • Multi-agent interactions
  • Agent integration with RAG

Context & Cache Management

Acts as a high-speed intelligent cache that supplies your AI agents by overcoming context window limitations and processing the real-time context from massive datasets..

  • Increase Accuracy - Anchors agent responses to eliminate hallucinations and improve reliability.
  • Cost Reduction - Reduces token consumption and latency by curating data before it reaches LLM.

Universal MCP Server

Bridge the gap between AI agents and legacy infrastructure without manual refactoring or the need for connectors. Our platform auto-generates Model Context Protocol (MCP) tools, turning your existing APIs and databases into agent-ready assets in minutes.

  • Interoperability across different AI models and tools
  • Zero-Code Tool Generation

Security & Governance

Protect your sensitive enterprise data and enforce strict compliance by providing granular control over what agents can see and do, preventing unauthorized actions.

  • Guardrails & PII Protection: Real-time masking of sensitive data
  • Role-Based Access Control: Define precise permissions for users and agents
  • Comprehensive Audit Trails: Complete log of every agent interaction for compliance and forensic purposes.

Multi-LLM Flexibility

Gain complete control over your AI architecture by choosing the exact model that fits your security, cost, and performance requirements for every specific task.

  • Universal Model Support - Seamlessly integrate any AI models, including open-source options and efficient Small Language Models (SLMs).
  • Bring Your Own Model (BYOM) - Deploy your proprietary or fine-tuned internal models to keep sensitive data under your control.
  • Cost & Performance Routing - Automatically route prompts to the most optimal model based on complexity, latency requirements, and budget constraints.

AI Observability

Get a unified view of your entire AI estate with a dashboard that tracks usage, spend, and outcomes across every team and application.

  • Visualize spend and token usage across all providers, broken down by department or project.

Multi-Domain Agents

Autonomous AI agents that collaborate across observability, infrastructure, network, security, and collaboration systems to investigate, correlate, and resolve incidents end-to-end. Fabrix.ai Multi-Domain Agents combine specialized domain intelligence to deliver faster detection, RCA, impact analysis, and operational remediation.

  • Digital Employee Experience (DEX) Agents
  • Root Cause Analysis (RCA) Agents
  • VPN Health Check Agents
  • CVE Exposure & Impact Agents
  • Cross-domain signal correlation
  • Faster MTTR with autonomous workflows

Frequently Asked Questions

The Fabrix.ai Agentic AI Platform is an enterprise platform that lets teams operationalize AI agents at scale for modern autonomous operations. It unifies data and Agentic AI for IT operations, providing Gen AI, a Copilot, an Agent Lifecycle Manager, an Orchestrator, Guardrails, RAG, and multi-LLM integrations so organizations can build, operate, and observe agents in one place.

AgentOps is Fabrix.ai's full-lifecycle control model for enterprise AI agents, summarized as Build, Operate, and Observe. It delivers enterprise-grade capabilities such as multi-LLM choice, smart context management, guardrails, data protection, MCP tools, prompt templates, AI personas, prompt-to-agent creation, and orchestration so agents are guardrailed, auditable, and engineered for enterprise scale.

You can create an agent from a single prompt or start from a template, then customize and iterate or activate it right away. The platform supports prompt-to-agent creation, multi-agent interactions, and agent integration with RAG, so a prototype built in Copilot can be packaged into a production agent with its persona, tools, prompts, and workflow automatically.

Agentic Data Federation lets agents access data where it lives and federate insights in real time with zero copy. Because centralizing fragmented enterprise data no longer scales, agents go to the data and unify insights without moving it, which delivers real-time access at the source, reduced integration overhead, faster insights, and lower platform cost.

The Universal MCP Server bridges AI agents and legacy infrastructure without manual refactoring or custom connectors. It auto-generates Model Context Protocol (MCP) tools that turn existing APIs and databases into agent-ready assets in minutes, enabling interoperability across different AI models and tools with zero-code tool generation.

Fabrix.ai offers multi-LLM flexibility with universal model support, including open-source options and Small Language Models (SLMs). You can bring your own model (BYOM) to keep sensitive data under your control, and cost-and-performance routing automatically sends each prompt to the most optimal model based on complexity, latency, and budget. Models can run on-premises or in the cloud and are NVIDIA-ready.

The platform provides granular control over what agents can see and do. It includes guardrails and PII protection with real-time masking of sensitive data, role-based access control to define precise permissions for users and agents, and comprehensive audit trails that log every agent interaction for compliance and forensic purposes.

Multi-Domain Agents are autonomous AI agents that collaborate across observability, infrastructure, network, security, and collaboration systems to investigate, correlate, and resolve incidents end-to-end. They include Digital Employee Experience (DEX), Root Cause Analysis (RCA), VPN Health Check, and CVE Exposure and Impact agents, and they use cross-domain signal correlation to deliver faster MTTR through autonomous workflows.