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Seeq Pricing Overview

Pricing Insights

Averages based on real user reviews.

Time to Implement

4 months

Return on Investment

13 months

Average Discount

14%

Perceived Cost

$$$$$
Seeq has 1 pricing edition.
NamePriceFeatures
Seeq Enterprise
Contact Us
  • Seeq Workbench
  • Seeq Organizer
  • Seeq Data Lab

Seeq pricing & plans

Pricing information for Seeq is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase Seeq must be conducted with the seller.
Pricing information was last updated on December 04, 2024
Questions about pricing?

Seeq Pricing Reviews

(2)
Verified User in Chemicals
UC
Mid-Market (51-1000 emp.)
"The power of a statistics program, ease of trending, and scale from AI"
What do you like best about Seeq?

It allows you to take a deep dive into data with workbooks that in seeq take minutes but in other software would take hours. Review collected by and hosted on G2.com.

What do you dislike about Seeq?

A lack of links to process diagrams to provide context to the instrumentation. There would be significant value in liking the tags to a P&ID via ai so that you can click on any tag and have the p&id that it is on pull up. Alternatively if you could upload existing pi graphics or similar into seeq Review collected by and hosted on G2.com.

Eelco M.
EM
Regional operational intelligence engineer EMEA.
Enterprise (> 1000 emp.)
"Very powerfull with time series data"
What do you like best about Seeq?

there are multiple things. I really like the phased approach of building an analysis so you can step by step review the steps taken to come to a certain outcome. I think also the fact that the Journal and Orgniser are in the same package really helps users to remotely access and support eachother bringing their usecases to a success. Review collected by and hosted on G2.com.

What do you dislike about Seeq?

In our organisation we also work alot with Pi AF. Leveraging Pi event frames is difficult and querying them based on for example template or asset seems not to be easy. This makes that a significant part of our datasources are not being analysed in Seeq.

Another thing I hear in the group is that people in EMEA are always interested in following the webinars provided, but they are almost only given in daytime in the US, because of which many can't attend. Review collected by and hosted on G2.com.

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