Aispire Pipelines
Production-ready operational pipelines with integrated MLOps
Centrally managed but deployable anywhere. Run and manage end-to-end automations enhanced with in-stream AI/ML built to operate in any environment.
Ultra-lightweight, low-latency, run-anywhere data and ML pipelines
Low-code graphical pipeline builder
Leverage pre-built connectors and drop-in deployment of any Python application code or logic
One-click deployment
Automatically package and run on 1000’s of hosts across edge, cloud and hybrid environments
In-stream AI/ML inference with integrated MLOps
Take models to production faster — embed proprietary or open-source models directly in pipelines and instantly monitor key metrics
Collect data of any type from any source
Process structured and unstructured data from live or static source — IoT, text, image, network, etc.
Architected for performance and scale
High performance
Ultra-low latency operational pipelines can operate at under 5 ms cycle time
Proven reliability
Independent and self-contained, not dependent on network stability
Run anywhere
Deploy to any Docker enabled device
Ultra-lightweight
Run on low-cost, commodity hardware as small as a Raspberry Pi
ML training and validation
Train and validate ML models and workflows on sample or live data before deploying to production
Easy to use
Drag-and-drop pipeline builder with Python integration will make you feel at home
Explore
Create once, deploy anywhere
Low-code, drag and drop pipeline builder. Deploy at scale in edge, cloud and hybrid environments
Completely end-to-end, self-contained and fully managed
Leverage pre-built connectors and drop-in deployment of any Python application code, logic, or ML model
From concept to production in hours
Take models to production faster with automatic model packaging and deployment