Manufacturing · head to head
Seeq vs Sensemore

Seeq
Manufacturing
Self-service analytics for process manufacturing time-series data sitting on top of existing historians
- From
- On request
- Rated
- -

Sensemore
Manufacturing
Low-cost wireless vibration and temperature monitoring with cloud analytics from a Turkish sensor manufacturer
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Seeq named-user pricing suits a small core team but scales badly: a site wanting a hundred engineers with occasional access pays for a hundred licences that mostly sit idle, which is why deployments often stay artificially narrow.; Sensemore the company is small and young, so the failure-mode library behind its models is built on a much narrower installed base than SKF or Augury can draw on, and diagnostic specificity reflects that.
- They diverge on capability: Seeq covers Query in place, Sensemore covers Wireless vibration sensors.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Seeq and Sensemore actually diverge.
Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Manufacturing).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Seeq
- Query in place
- Capsules
- Asset trees
- Seeq Data Lab
- Organizer
- Multi-source joins
Only in Sensemore
- Wireless vibration sensors
- Handheld analyser
- Cloud platform
- Machine learning models
- Multi-sensor synchronisation
- Gateways
- Open API
- Alarm notifications
What people use each for
The jobs each tool is most often brought in to do.
Seeq
- A pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheetsnot Sensemore
- A reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of historynot Sensemore
- Refinery process engineers building a recurring shift report that pulls live values rather than being rebuilt by hand each weeknot Sensemore
- A site whose data lake project has stalled and that needs engineers analysing plant history now, without waiting for an ingestion pipelinenot Sensemore
Sensemore
- A cement plant that wants coverage across the whole motor fleet rather than only the critical shortlistnot Seeq
- A mid-market manufacturer where the Western vendors quotes exceed the maintenance budget entirelynot Seeq
- An integrator packaging condition monitoring into a broader plant automation projectnot Seeq
- A water utility instrumenting remote pumping stations where sending a technician to take readings is the main costnot Seeq
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Seeq
- Named-user pricing suits a small core team but scales badly: a site wanting a hundred engineers with occasional access pays for a hundred licences that mostly sit idle, which is why deployments often stay artificially narrow.
- Seeq inherits whatever quality exists in the historian, so plants with unstructured tag names and no asset model spend real effort building asset trees in Seeq that should have been fixed upstream.
- Certain historian connectors are charged separately, so the licence quote and the actual cost of connecting your specific data sources are two different numbers.
- It is analysis, not control or action; findings still have to be carried into a CMMS or a control change by hand, so value depends on a workflow Seeq does not provide.
- The product assumes competent process engineers. Organisations without that skill in-house get little from it, because Seeq deliberately does not ship prebuilt failure models the way condition monitoring vendors do.
Sensemore
- The company is small and young, so the failure-mode library behind its models is built on a much narrower installed base than SKF or Augury can draw on, and diagnostic specificity reflects that.
- Support and spares are largely delivered through distributors, so response quality varies by country and buyers outside Turkey and the immediate region should verify local coverage before ordering.
- Pricing is not published and routes through integrators, which means the software cost is often bundled into a project price you cannot decompose.
- Long-term vendor viability is an open question for a venture-stage hardware company, and a sensor network is a ten-year commitment; an exit or wind-down would strand the installed hardware.
- Documentation and the analytics user interface are thinner than established competitors, so teams without vibration expertise get less guidance in interpreting what the platform flags.
Pricing, plan by plan
Seeq
On request- Seeq$undefined/year
- Licensed per named user, not per tag
- Separate charges for certain historian connectors
- Cloud-hosted and self-hosted deployments quoted differently
Sensemore
On request- Sensemore platform$undefined/year
- Hardware purchased per monitoring point
- Cloud platform subscription quoted by sensor count
- Sold largely through distributors and system integrators
Which should you pick?
Choose Seeq if
- You need query in place.
- You work on Web, Cloud, On-premise, Windows, Linux.
- You also want capsules.
Choose Sensemore if
- You need wireless vibration sensors.
- You work on Web, iOS, Android.
- You also want handheld analyser.
Questions people ask
- Is Seeq or Sensemore better?
- Neither clearly leads. Seeq starts at On request and Sensemore at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Seeq or Sensemore?
- Seeq starts at On request and Sensemore at On request.
- Does Seeq or Sensemore run on more platforms?
- Seeq runs on Web, Cloud, On-premise, Windows, Linux. Sensemore runs on Web, iOS, Android.
- What is Seeq best used for?
- Seeq is most often used for a pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheets, a reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of history, refinery process engineers building a recurring shift report that pulls live values rather than being rebuilt by hand each week, a site whose data lake project has stalled and that needs engineers analysing plant history now, without waiting for an ingestion pipeline. Of those, a pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheets and a reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of history are not what Sensemore is typically brought in for.
- What can Seeq do that Sensemore cannot?
- Seeq covers Query in place, Capsules, Asset trees, Seeq Data Lab. Sensemore covers Wireless vibration sensors, Handheld analyser, Cloud platform, Machine learning models.
Answered from the vendors’ own pages
Seeq: Does Seeq store my data?
No. It queries connected historians and databases in place. Removing Seeq leaves your data exactly where it was.
Sensemore: Where is Sensemore based?
Istanbul, Turkey. It designs and manufactures its own sensing hardware.
Seeq: Who owns Seeq?
It is an independent private company in Seattle, most recently funded by a 2024 growth round led by Sixth Street. It has not been taken over by a private equity buyer.
Sensemore: Is pricing published?
No. Hardware and platform are quoted, usually through a distributor or system integrator.
Seeq: How is it licensed?
Per named user, with some historian connectors charged separately. Nothing is published; every number comes from a quote.
Sensemore: How does it compare on cost?
It is positioned below the established Western condition monitoring vendors, which is the reason most buyers evaluate it.
Seeq: Do I need a data scientist?
No, and that is the point. Workbench is aimed at process engineers. Data Lab exists for the minority who want Python.
Sensemore: Can I get the raw data out?
Yes, there is a REST API and MQTT support for pulling measurements into other systems.
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