Get real-time intelligence on all your sensors & machines.
Interstacks is the easiest to use, complete industrial internet of things solution. No software or IoT expertise needed. No disruptions to current operations.
- Increase productivity
- Reduce maintenance costs
- Add remote monitoring to OEM industrial products in minutes
How it Works
Connect your machines and sensors to a stack
- Stack as few or as many blocks as you need
- Send real-time, timestamped data to the cloud platform over ethernet, wifi, or cell data. (Optionally send to your own on-prem or cloud server.)
- Hardware blocks for many connectivity needs
- Stacks are fully programmable and your support engineer will pre-program them for your custom application at no cost. Or do it yourself using Python with Stackbuilder.
View data from any browser on any device
- All data is timestamped and saved
- Easily build custom dashboards for any need
- See analytics for up/down time, part counts, machine cycles, all types of sensors, and any other metrics you need.
- Get real-time text/email alerts
Join other Interstacks users in digitally transforming your enterprise. Email us now at info@interstacks.com
Digital transformation with impact
Increase productivity in any industrial process by monitoring up/down time, counting parts, OEE, and tracking quality. Industrial machine OEMs can quickly add remote monitoring features. Get real-time alerts from sensors throughout your operations.
Read about how others have put our Interstacks integrated IoT solution to use.
Use CasesFounded on over 25 years of research and deployments.
Interstacks has large scale deployments streaming data every second of every day from all over the world. The company was spun out of MAYA Design (since acquired by BCG) by Carnegie-Mellon University engineering alumni and is based on over 25 years of research and deployments of distributed computing systems. Interstacks incorporates a comprehensive hardware-software and information architecture for the rapidly approaching world of massive, distributed computing.
About Us