Current ML infrastructure struggles to meet sub-millisecond latency and high throughput demands while remaining extensible for new use cases.
Core Benefits
- Predictions and computations in <60 microseconds
- Handles terabytes of daily throughput
- Extensible engine for advanced analytics (e.g., anomaly detection)
- Real-time visualization for transparent monitoring
Key Features
- Ultra-low latency streaming architecture
- Terabytes of throughput per day
- Visualisation of Input and prediction streams that scales to this latency and throughput
- Plug-in modules for pattern detection, anomaly detection, and custom logic
