Industrial & IoT analytics · Braincube
Braincube
Industrial IoT analytics platform combining plant data with modeling tools to improve process quality, energy use and throughput.
Braincube collects data from industrial processes and sensors and provides analytics and modeling apps that plant engineers use to understand what drives variation in quality, energy consumption or throughput, without needing to build models themselves from scratch. Its app-based approach lets customers pick pre-built analytics apps for common process-improvement problems, such as identifying the process variables most correlated with a quality defect, and configure them for their own line, rather than starting analytics projects from a blank canvas. It is aimed at continuous-improvement and process engineers across industries such as materials, chemicals, food and packaging manufacturing. As with most vendors in this category, it is sold as an enterprise software subscription to individual plants or multi-site manufacturing groups.
At a glance
| Vendor | Braincube |
|---|---|
| Pricing model | Quote only |
| Free tier | No |
| Deployment | Cloud |
| Open source | No |
| Best for | Process manufacturers wanting pre-built analytics apps rather than custom-built process models. |
Pricing
Sold as an enterprise software subscription to manufacturing plants and groups; pricing is not published.
Pricing has not been verified yet — see the vendor's site.
Features
- Pre-built analytics apps for common process-improvement problems
- Correlation analysis between process variables and quality outcomes
- Energy consumption and throughput optimization
- Process modeling without custom data-science projects
- Multi-site data aggregation
- Configurable dashboards for plant engineers
Profile last reviewed September 21, 2026