Real-time data for every workload
Explore how teams use the platform to power analytics, applications, security pipelines, and AI systems
Decision Intelligence
Real-time analytics for smarter business decisionsEvent-Driven Applications
Build reactive systems powered by live eventsThreat & Anomaly Detection
Detect security threats and anomalies in real timeFeed Models
Continuously feed AI models with streaming dataUnified Real-Time Data Platform
Fluentum connects, processes, and distributes streaming data across applications, analytics platforms, and AI systems—at scale and with low latency.
Real-Time Analytics
Stream live data into dashboards, BI tools, and data warehouses for instant insights
Common Scenarios
Operational dashboards
Customer analytics
Real-time KPIs
Event-Driven Applications
Trigger workflows and microservices using real-time event streams
Common Scenarios
Workflow automation
Notifications
Microservice communication
Threat & Anomaly Detection
Detect fraud, security threats, and system anomalies in real time
Common Scenarios
Fraud detection
Security monitoring
System health monitoring
AI & ML Pipelines
Feed models with continuous data for training and real-time inference
Common Scenarios
Model training feeds
Feature pipelines
Real-time inference
Streaming Analytics Architecture
Sources → Fluentum → Stream Processing → BI / Warehouse
Event-Driven Microservices Architecture
Apps → Fluentum → Consumers / Services
AI Data Pipeline Architecture
Data Sources → Fluentum → Feature Store → ML Models
Financial Services
Stream transactions, detect anomalies instantly, and power low-latency trading and compliance systems
E-commerce & Retail
Track user behavior, update recommendations in real time, and optimize inventory and pricing dynamically
Telecommunications
Process massive event streams from network infrastructure to detect outages, anomalies, and usage patterns instantly
AI & Data Companies
Feed models with live feature streams, support real-time inference, and enable adaptive AI systems
Telecommunications
Process massive event streams from network infrastructure to detect outages, anomalies, and usage patterns instantly
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