Industrial & IoT analytics · Seeq Corporation
Seeq
Process manufacturing analytics software for exploring and modeling time-series data from plant historians and IoT sensors.
Seeq lets process engineers, data scientists and operations staff at manufacturing and process-industry sites, such as chemicals, oil and gas, pharma and food and beverage, search, clean and analyze time-series data pulled from plant historians like AVEVA PI System, or other data sources, without needing to write custom scripts for every investigation. It supports building reusable calculations and monitoring rules for detecting equipment issues, capacity constraints or quality deviations, and can package findings into dashboards, reports or notebooks for other users. It positions itself as a layer on top of existing historians and data infrastructure rather than replacing them, connecting to a plant's existing systems instead of requiring a separate data pipeline. It is offered as both an on-premises server product and a cloud offering, sold to industrial manufacturers on software subscriptions.
At a glance
| Vendor | Seeq Corporation |
|---|---|
| Pricing model | Quote only |
| Free tier | No |
| Deployment | Cloud, Self-hosted |
| Open source | No |
| Best for | Process engineers and manufacturers who need to analyze historian time-series data without heavy custom scripting. |
Pricing
Sold as a software subscription to industrial manufacturers; a dedicated pricing page was not available at the time of writing.
Pricing has not been verified yet — see the vendor's site.
Features
- Time-series search and cleansing across plant historians
- Reusable calculations and equipment monitoring rules
- Anomaly and capacity-constraint detection
- Dashboards and reports for operations staff
- Connectors to AVEVA PI System and other historians
- Cloud and on-premises deployment options
Integrations
Profile last reviewed September 21, 2026