Public Todays System and Challenges Data Silos: 53% of enterprises employ over 20 tools and lack a unified source of truth 20+ 1M+ Noisy Data: 40% of IT organizations receive 1M+ daily alerts, 11% face 10M+; costing an average of $1.27M annually $400K Incident Costs: Each incident costs Average of $10,700 with MTTR > 7 Hrs; cost of single service outage - $400K Navigating through challenges is #1 priority for IT leaders 1. * AIOps exchange report may 2019, DEG report 2. * Enterprise Management Associates 2022 3. * IDC Report 2022 On-Prem SaaS Monitoring Tools Navigating through challenges at SPEED is #1 priority for IT leaders
The only constant is the ACCELERATION of change! While it seems widely accepted that the only constant in the economy is change... Constant Transformation is the New Normal Software Principle #11: The only Constant is Change Embracing The One Constant in Business: Change "Change Is a Constant": Tech Law Firms Steady on Pursuing Innovation In today's digitized and interconnected world, the only thing you can count on is change Dec 2020 Embracing Change as a Constant While it seems widely accepted that the only constant in the economy is change... Each successive global economic transformation has been twice as fast as the previous one Adoption of new technology waves has also been twice as fast as with each platform shift Speed for AI models to reach human level accuracy has also decreased exponentially Industrialization Service Economy Digitization 1.0 Digitization 2.0 ~ 100 Years ~ 50 Years ~ 25 Years ~ 10 - 15 Years PC’s Internet Mobile Broader AI adoption 20 Years 12 Years 6 Years 3 Years Speech Recognition Image Recognition Code Generation Reading Comprehension 20 Years 10 Years 3 Years 3 Years ?
is the enemy of ACCELERATION Breaking the economics New Normal Experience at digital speed New Opportunities Network as the foundation of economies, governments, and societies Evolving Environment Emerging competitors, shifting business models, new markets Mounting OpEx Automation of complex, multivendor networks comes with complexity New Technologies Absorbing and operationalizing a growing number of technologies Upgrades and Changes Complex and time-consuming
Outage : Undetected Incorrect changes Decision Decision Decision Action Decision Action Typical Process Tool-based. Human based Scripts Tied to Specific Networks Hard Coded Rules No Contextual Understanding Manual Approvals Manual Operations Organizations can't just add engineers: can't find them and can't afford them Leading Telco experienced a widespread outage across the United States. The outage lasted for several hours and impacted service for millions of subscribers. What was the cause? • The Telco initially listed the cause as “maintenance activity” “Based on our initial review, we believe that today’s outage was caused by the application and execution of an incorrect process used as we were expanding our network, not a cyber attack,” Telco management
Vision and Innovation Before - Rules Based Data driven AIOps Platform - Digital Resilience ▪ Event Intelligence ▪ Incident Management ▪ RCA/Auto Remediation ▪ Predictive Insights ▪ Telco Service Assurance Telemetry pipelines – Data-driven use cases ▪ Unified Network Observability ▪ BizOps and Risk Compliance Analytics RDAF After - Data-pipelines and ML Based CloudFabrix Innovation Outcome-based Automation with AI Agents FABRIX
are Agents different from co-pilots & Assistants • Co-pilots are primarily based on conversational queries mostly leveraging RAG • Some level of action • Human in loop • Co-pilots are still be used as UI for Agents • Agents have foundational models at the center of decision making which make automation contextual (SLM / LLM) • Sense -> Reason -> Plan -> Act • Agents have the ability to ReAct and break down tasks and execute autonomously • Role based or Task based
Existing market with challenges Challenges with Existing Domain solutions High Cardinality Data Domain-Specific Tools Volume & Velocity Heterogeneous Data Formats Query Complexity No Unified Data Model Supervised Learning Challenges • Data Points • Cardinality Explosion • 10-20 Tools • Query Languages • Specialized Tools • Data Formats • OTEL Adoption low • Standardization • Distributed Systems • Data Speed • PromQL • Lucene • Labeled Data • Model Drift Process-driven AIOps vendors Process AIOps Analytics-driven AIOps vendors Analytics AIOps Data-driven AIOps vendors Data AIOps Fabrix.ai is the Modern Operational Intelligence Platform $100B Opportunity - Product Centric to Workforce Centric – Foundation Capital
- Modern Operational Intelligence Platform for the Agentic Era! Fabrix.ai, formerly known as CloudFabrix, is now adding Agentic AI capabilities into Robotic Data Automation Fabric. Key components of agentic AI framework are: • Agent Orchestration and Lifecycle Management • AI Guardrails • Managing Data and Action Privileges for Agents • Visibility and Observability of Agents • Agent Quality Control and Assurance • Reasoning LLMs Gen AI Copilo t AI Agent s Domain LLMs ML Pipeline s Workflow Automatio n Rollback/ Checkpoin t Low-Code / No-Code Solution Packs 1000+ Data Bot Library Data Ingestio n Data Pipeline s Data Enrichmen t AI Fabric Automation Fabric Data Fabric Asset Intelligence Observability AIOps Telco Service Assurance Fabrix.ai Platform Fabrix.ai Solutions
- Unifies all data sources - structured, unstructured, real time Data Automation, Data Enrichment, Data Routing • Data Pipelines (Telemetry / Observability pipelines) • Knowledge graphs provide curated data to LLMs to avoid hallucinations and bias • Heterogeneous data processing • Built-in data platform or partner data platform – Splunk, Elasticsearch, Data Lakes Data Fabric 1000+ Bots Low-Code/ No-Code Composable Workflows Data Bots Distributed Data Fabric Generative AI Low Code to No Code Large Language Models Data Integration Data Ingestion Data Aggregation Data Enrichment Data Embedding's Data Routing
Fabric • Orchestrate any workflow to be executed by the agents • Automation Fabric can be completely autonomous with notifications / report or have human-in-loop! • Outcome based • Task-based workflow templates • Intelligent – leverage AI-Fabric for decision making Automation Fabric 1000+ Bots Low-Code/ No-Code Composable Workflows Automation Bots Distributed Automation Fabric Generative AI Low Code to No Code Large Language Models Workflow Automation Rollback / Checkpointing Dynamic and Extensible LLM based decision making Schedule / Run playbooks Integrate with 3rd party Integrate Any Stack, Any Scale, Anywhere
Fabric The heart of the platform which orchestrates Data Fabric and Automation Fabric • Build AI Agents Multi-agents, using any LLMs and Orchestrate for autonomous outcome • LLMs for Casusal Reasoning / Context aware analysis • Inference time compute / learning AI Fabric 1000+ Bots Low-Code/ No-Code Composable Workflows AI Bots Distributed AI Fabric Generative AI Low Code to No Code Large Language Models Orchestrator Copilot Agentic RAG Network LLM 3rd party LLM Out of box / Partner agents Integrate Any Stack, Any Scale, Anywhere Fabrix.AI Autonomous Agents – Task / Outcome-based Automation AI Agents Data Pipelines Generate Curated Context (Graph RAG) Decision Making (LLM) Task Automation Data Fabric AI Fabric Automation Fabric
Fabric • Create an instant on the fly with just a conversational query to create Task graph • Test each sub task to verify outcome • Inference time compute / learning • Storyboard for AI Explainability
leverages NVIDIA NIM ( NVIDIA Inference Microservices) Models NIM K8S GPU’s Local Customer VPC Models NIM K8S GPU Instance Model API’s NIM Instance Model API’s AI Fabric Automation Fabric Data Fabric
study - Fabrix.ai Network Digital Twin multi-agents Outcome base Multiple Agents automate the Digital Twin use case, where the network is analyzed constantly AI Fabric – What-if scenarios, DVR for faults, predictive maintenance, change mgmt. Intelligent AI agents with codified knowledge that can gather info, reason and make decisions Automation fabric – Apply changes, change / capacity management, generate report and notify Data fabric – Extensive Real-time data to generate near real-time visualization of Network Almost real-time representation Improved Visibility Network DVR New Technology Insertion Planning & Adaption Troubleshootin g
ITOps more agents coming … SLO / KPI Management agent / Anomaly detection Intelligent AI agents with codified knowledge that can gather info, reason and make decisions Network Digital Twin for Service Assurance Closed Loop Remediation agent Predictive Maintenance agents Incident Management Agent Summation agent
Intelligent Generative AI Co-pilot Democratize Observability, AIOPS and Automation Create a composable dashboard for my syslog datasets Create a new RDA pipeline to create ServiceNow tickets Explain Network outage impact upstream What datasets do I have in my RDA Platform?
and IBM Consulting – Helping Clients with Composable Analytics to unify Observability, AI, and Automation Meenakshi Srinivasan, Senior Partner, IBM Consulting “I’m excited to share that IBM Consulting and CloudFabrix, the data-centric AIOps platform leader, are working together to help clients implement next-gen IT operations use cases like enterprise-wide observability, composable in-place search and asset intelligence analytics by unifying data, AI and automation. We’re bringing together IBM Consulting's deep expertise in observability and AIOps solutions for global and deeply complex clients with CloudFabrix’s Composable Analytics powered by Robotic Data Automation Fabric, which is architected to overcome these operational challenges”
Virtualization OS Compute Storage Network Security Resiliency Pearl DDoS Sanovi Technology Stack Ops Tools Automation ITSM • Severe Alert Fatigue from 25 Tools • SLAs were not met with Customers • Frequent outages • Siloed Operations • War rooms with 20-30 on each call • CMDB is outdated and cannot be kept in sync in fast changing environment • Lack of Visibility for Execs • No Direct visibility for End Customers Service Provider Managed Hosting: Before CloudFabrix 1900 Global Customers Using this Service Operations Teams Execs End Customers
Virtualization OS Compute Storage Network Security Resiliency Pearl DDoS Sanovi Technology Stack Ops Tools Automation CloudFabrix Customer Facing Tickets MSP Tickets CMDB (Maint. Schedules) MHS Exec App MHS Ops App Customer App Email Notifications ITSM & Collab • Stream-lined Operations • 90%+ Noise reduction • Real time visibility for Execs • Direct Real-time visibility for End Customers • Real-time visibility into asset dependencies across the stack • CMDB is in Sync Service Provider Managed Hosting: After CloudFabrix 1900 Global Customers Using this Service Full Stack Observability & AIOps Triage Rooms Predictive Insights
Growth Raised Series A-1 round with 2 institutional VC’s (Clear Ventures & Tri-Valley Ventures) Employees 115+ Planning to expand sales & support operations to sustain global customer growth
Takeaways Launching Fabrix.ai – New branding to align with future AI vision Data Fabric – providing multi vendor data acquisition, data transformation, enrichment & data routing to the choice of destination Automation Fabric – Outcome based automation with option to integrate with home grown or 3rd party AI fabric – AI agents driven operations with built-in agentic AI framework and with option to integrate with multiple LLMs, Copilots & Agentic AI Global customers acquisition & expansion Accelerated Telco expansion – dozens of large telcos and enterprises Joint Partner GTM’s with Big vendors – Cisco, IBM, Nvidia, HPE
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