Introducing Fabrix.ai
Modern Operational Intelligence Platform for the Agentic AI Era
Enabling the Autonomous Enterprise!
One platform unifying Data Fabric, Automation Fabric, and AI Fabric – three key pillars working cohesively to enable autonomous operations
Unifies all data sources, structured and unstructured in real time
- Data Ingestion, Aggregation, Transformation, Routing
- Data Enrichment, Full-Stack contextualization
- Streaming/Bulk/Batch Data Ingestion
- Direct to device, SSH/CLI, SNMP, Element/Domain Manager integration, API
- Multi-protocol: Kafka, Webhooks, gRPC, gNMI, Bulkstats, Open Telemetry
- 1500+ Data bot library. Low-Code Juypter style studio for Pipeline authoring
Combine data management & AI-powered analytics to enhance IT operations
By leveraging Fabrix, ITOps teams can achieve faster insights, maintain data integrity, and quickly adapt to changing IT needs, ultimately improving operational efficiency and service reliability
Key aspects include:
Unified Data Layer
Data Fabric creates an integrated layer that unifies business and technology data across the enterprise, enabling ITOps agents to access real-time, comprehensive information
AI-Powered Insights
The fabric powers AI agents with unified business data, allowing for more effective autonomous operations across the enterprise
Real-Time Processing
It enables real-time data processing and reduces delays associated with legacy data management, crucial for quick detection and resolution of IT issues.
Enhanced Automation
Data Fabric includes augmented workflow automation, streamlining incident management and assignment to the right field agents
Improved Efficiency
For example, in telecom operations, Fabrix ™ has resulted in a 97% improvement in mean time to repair compared to legacy processes
Integration Capabilities
It offers connectors to various data sources, including unstructured data from tools like Atlassian Confluence and Microsoft SharePoint, providing a comprehensive view of IT systems.
Fabrix.ai Storyboards craft an Outcome Based Story
Fabrix.ai Advantage
| Domain Agnostic | Domain Specific | Legacy |  |
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| AI Fabric | ![](data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="25" height="25"><rect fill-opacity="0"/></svg>){kind=small} |
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| Prebuilt Agents | |
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| Build your own Agents | |
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| Agent Lifecycle Management | |
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| Guardrails & Quality Control | |
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| Retrieval Augmented Generation (RAG) | |
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| Gen AI - Conversational Queries | |
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| Gen AI API/Bots | |
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| AI/ML Pipelines | |
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| Data Fabric | |
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| Data Ingestion/Integration | |
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| Data Enrichment | |
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| Edge Analytics | |
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| Data Routing | |
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| Deployment Choice | |
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| Automation Fabric | |
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| Data Automation | |
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| Task Automation | |
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| Workflow Orchestration | |
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| LLM Decision Tasks | |
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| Rollback/Checkpoints | |
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| Dynamic Workflows | |
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| 3rd Party Integration | |
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| Asset Intelligence | |
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| Agentless Asset Discovery | |
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| Full-Stack ADM | |
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| Premium Asset Insights | |
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| CMDB Update & Synchronization | |
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| Observability | |
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| Telemetry Pipelines | |
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| Network Observability (X-domain, Telco etc.) | |
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| Application Performance Monitoring (APM) | |
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| Real-User Monitoring/Digital Experience Monitoring (DEM) | |
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| Event Intelligence | |
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| ML-Based Learning of Correlations | |
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| Auto Event Enrichment & Contextualization | |
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| Cross-Domain Correlation & Noise Reduction | |
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| Predictive Insights & Alerting | |
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| Incident Intelligence | |
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| Root Cause Inference | |
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| Auto Incident Diagnosis & Resolution | |
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| ITSM Bi-dir Integration | |
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| Gen-AI chat assistant for Incident Ops | |
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