
Operational technology comparison
Seeq vs PI Vision
PI Vision shows what the plant is doing. Seeq helps an engineer work out why it did something last Tuesday.
The short answer
PI Vision is monitoring for a broad group of users, built on asset-relative displays so one screen serves every asset of the same type. Seeq is investigation for a smaller group, built to cleanse signals and reason about periods of time.
If your engineers export to Excel whenever they need to answer a real question, you have the gap Seeq fills. If supervisors cannot see equipment state, more analytics will not help. We resell neither product.
Side by side
| PI Vision | Seeq | |
|---|---|---|
| Primary job | Monitor current and recent equipment state | Investigate why something happened and how often |
| Typical user | Operators, supervisors, anyone who needs to look | Process and reliability engineers |
| Stores data | No. Reads the PI System it belongs to | No. Connects to existing historians, including PI and others |
| Signal cleansing | Not a core feature | Core capability: dropouts and outliers handled first |
| Reasoning about events | Ad hoc trending | Conditions turn periods into countable objects |
| Scaling across assets | One display definition serves every instance | Uses whatever asset hierarchy the historian exposes |
| Reproducibility | Ad hoc analysis leaves little trail | Analysis saved as documents others can reopen |
| Commercial shape | Part of the PI System licence | Separate subscription |
The Excel export is the diagnostic
Hidden judgement calls
Engineers delete bad rows in a workbook, and nobody can see how the answer was reached.
Audit exposure
A number in a regulatory submission or capital case needs a method someone can check.
Key-person risk
When the workbook author leaves, the method leaves too.
Match the tool to the complaint
| Gap | Where to look | |
|---|---|---|
| Engineers export to Excel to answer questions | Investigation | Seeq or similar analytics |
| Supervisors cannot see equipment status | Monitoring | PI Vision displays |
| Every site answers the same question differently | Asset model | Fix Asset Framework first |
| Management reporting is assembled by hand | Reporting | See Power BI vs PI Vision |
| Nobody trusts the numbers from either tool | Data quality and context | Neither purchase helps yet |
Questions
Is Seeq a replacement for PI Vision?
No. PI Vision is a monitoring tool for many users and Seeq is an investigation tool for engineers, so they answer different questions. Most sites that run PI Vision keep it for the control room and add Seeq for process and reliability engineers.
Does Seeq need a historian?
Yes. Seeq stores no process data of its own and connects to the historians you already run, including the PI System, so it inherits their data quality and asset context. Poor tag naming or gaps in the historian show up directly in Seeq analysis.
Do we need both Seeq and PI Vision?
It depends who is frustrated. Sites running both typically give PI Vision to a broad group of operators and supervisors and Seeq to a smaller engineering group. If supervisors cannot see equipment state yet, fix monitoring before buying analytics.
Is Seeq worth the cost?
It pays off when engineers regularly answer investigation questions, such as how often a unit ran off-spec or what preceded each trip, and currently do it in Excel. If the main need is seeing equipment state, PI Vision displays and asset templates are the better spend.
Can we do Seeq-style analysis in Power BI or Excel?
Not comfortably for high-resolution process data. Excel hides the cleansing steps engineers take, and Power BI struggles with raw time series. Power BI suits aggregated results for management one layer up, while investigation of events belongs in a purpose-built tool.
Related
PI System vs IgnitionIgnition runs the plant. The PI System keeps the record that reporting reads. Most sites asking this question have a gap at one layer.
Power BI vs PI Vision for plant reportingDifferent audiences, different time scales. What sits between your historian and your reports decides whether anyone trusts the numbers.
Canary Historian vs PI SystemThis comparison is usually driven by cost. What decides whether a move pays off is the asset model you would have to rebuild.
Mining, energy and manufacturingOT data, historians and reporting.

Not sure which gap you have?
Tell us what happens when someone asks a hard question about last month.
Fixed-fee phases, agreed before we start. Stop after any phase.