Everything you need for edge analytics
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Stream Analyze Platform offers easy-to-use infrastructure and tools for developing, deploying, running, and managing analytical AI models on massive fleets of distributed edge devices.
• Nanocore version ~17kB
• Full version ~8MB
• CPU Arch: X86, AMD, ARM
• Industrial PC, Raspberry Pi, Microcontrollers (MCUs), Telematic Control Units (TCUs)
• Data extract, transform, load (ETL)
• Data aggregation, grouping, windowing, multiple sources and combining streams
• Large library of mathematical, statistical and AI/ML functions
• Easy integration of any sensor
• Support extensions with C/C++, Python, Lisp, Java, JS, and many more.
• Exposes call-in APIs for C/C++, Python, Lisp, Java, JS, and many more.
• Free web-based management GUI and IDE (in cloud or on proprietary servers)
• VSCode extension (in development)
Develop, validate, refine and deploy models on the fly.
Designed to be easy to use for data scientists, engineers and analysts.
Visualize data streams and sensor values in real time.
Extract real time data streams from edge devices.
Develop, validate, refine and deploy models on the fly.
Designed to be easy to use for data scientists, engineers and analysts.
Visualize data streams and sensor values in real time.
Extract real time data streams from edge devices.
Develop, validate, refine and deploy models on the fly.
Designed to be easy to use for data scientists, engineers and analysts.
Visualize data streams and sensor values in real time.
Extract real time data streams from edge devices.
Unsure where to start?
Read the SA Studio User Guide to find out how SA Studio works. Or dive right in with one of our many getting started guides.
Are you already familiar with SA Studio and SA Engine and just want to download some edge clients for a specific platform? Then go straight to the download page.
