Technology · Real-Time Streaming
Event-driven architecture
Process high-volume event streams in real time for instant insights and responsive AI applications.
Streaming capabilities
From ingestion to insight in milliseconds
High-throughput ingestion
Ingest high-volume event streams from multiple sources with reliable delivery.
- IoT sensor data streaming
- Clickstream and user behavior
- Financial transactions
Real-time processing
Process and analyze streaming data in real-time with sub-second latency.
- Stream processing with Flink
- Complex event processing
- Real-time aggregations
Real-time analytics
Gain instant insights with real-time dashboards and anomaly detection.
- Live dashboards
- Anomaly detection
- Predictive alerts
Event sourcing
Build event-driven architectures with complete audit trails and state reconstruction.
- Event store with replay
- CQRS pattern support
- Microservices integration
Use cases
Where real-time streaming delivers impact
Fraud detection
Identify suspicious transactions and behavioral anomalies in real-time before damage spreads.
IoT monitoring
Process sensor data from thousands of devices for predictive maintenance and operational visibility.
Live personalization
Adapt user experiences on the fly based on real-time behavioral signals and contextual data.
Supply chain visibility
Track shipments, inventory, and logistics events as they happen across your entire supply network.
AI agent triggers
Activate agentic workflows from streaming events so your AI responds instantly to business signals.
Bring agentic AI to your enterprise
Talk to our team and deploy our platform on your terms. Same platform, same security, wherever your data lives.
Deploy on your terms
Your data stays in the country and in the environment your regulator expects, because our platform runs in your cloud account, your VPC, or your own data center.
