Manufacturing · head to head
Authentise vs Seeq

Authentise
Manufacturing
Modular MES and workflow automation for additive manufacturing, with ITAR-capable deployment options
- From
- On request
- Rated
- -

Seeq
Manufacturing
Self-service analytics for process manufacturing time-series data sitting on top of existing historians
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Authentise nothing is published about price, and modular licensing means the quoted entry module rarely resembles the cost of a configuration that actually runs a production floor.; 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.
- They diverge on capability: Authentise covers Additive workflow automation, Seeq covers Query in place.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Authentise and Seeq actually diverge.
| Attribute | Authentise | Seeq |
|---|---|---|
| Platforms | Web, API | Web, Cloud, On-premise, Windows, Linux |
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 Authentise
- Additive workflow automation
- Machine data capture
- Traceability
- Modular deployment
- ITAR-capable hosting
- Scheduling
Only in Seeq
- Query in place
- Capsules
- Asset trees
- Seeq Data Lab
- Organizer
- Multi-source joins
What people use each for
The jobs each tool is most often brought in to do.
Authentise
- An additive service bureau tracking jobs across a mixed fleet of printers from several vendorsnot Seeq
- An aerospace supplier that needs powder batch to part traceability as qualification evidencenot Seeq
- A defence programme requiring export-controlled geometry handled under ITAR-compliant hostingnot Seeq
- A corporate additive team standardising build preparation and post-processing steps across sitesnot Seeq
Seeq
- A pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheetsnot Authentise
- A reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of historynot Authentise
- Refinery process engineers building a recurring shift report that pulls live values rather than being rebuilt by hand each weeknot Authentise
- A site whose data lake project has stalled and that needs engineers analysing plant history now, without waiting for an ingestion pipelinenot Authentise
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Authentise
- Nothing is published about price, and modular licensing means the quoted entry module rarely resembles the cost of a configuration that actually runs a production floor.
- It is additive-specific, so a shop with significant machining, casting or fabrication work still needs a second MES and an integration between them.
- The ITAR-capable deployment that justifies the price is irrelevant to purely commercial shops, which then find the system expensive relative to general manufacturing software.
- Integrating with the ERP and PLM systems that already hold part and order data is project work, and the burden falls on a small vendor rather than a large systems integrator ecosystem.
- Company scale is modest against the industrial software incumbents, which is a real consideration for a system sitting in the traceability path of qualified aerospace parts.
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.
Pricing, plan by plan
Authentise
On request- Authentise Flows and MES modules$undefined/year
- Modular licensing by function
- Public cloud, private SaaS or ITAR-compliant deployment
- Machine data capture and traceability
Seeq
On request- Seeq$undefined/year
- Licensed per named user, not per tag
- Separate charges for certain historian connectors
- Cloud-hosted and self-hosted deployments quoted differently
Which should you pick?
Choose Authentise if
- You need additive workflow automation.
- You work on Web, API.
- You also want machine data capture.
Choose Seeq if
- You need query in place.
- You work on Web, Cloud, On-premise, Windows, Linux.
- You also want capsules.
Questions people ask
- Is Authentise or Seeq better?
- Neither clearly leads. Authentise starts at On request and Seeq at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Authentise or Seeq?
- Authentise starts at On request and Seeq at On request.
- Does Authentise or Seeq run on more platforms?
- Authentise runs on Web, API. Seeq runs on Web, Cloud, On-premise, Windows, Linux.
- What is Authentise best used for?
- Authentise is most often used for an additive service bureau tracking jobs across a mixed fleet of printers from several vendors, an aerospace supplier that needs powder batch to part traceability as qualification evidence, a defence programme requiring export-controlled geometry handled under itar-compliant hosting, a corporate additive team standardising build preparation and post-processing steps across sites. Of those, an additive service bureau tracking jobs across a mixed fleet of printers from several vendors and an aerospace supplier that needs powder batch to part traceability as qualification evidence are not what Seeq is typically brought in for.
- What can Authentise do that Seeq cannot?
- Authentise covers Additive workflow automation, Machine data capture, Traceability, Modular deployment. Seeq covers Query in place, Capsules, Asset trees, Seeq Data Lab.
Answered from the vendors’ own pages
Authentise: How is Authentise priced?
It is not published. Licensing is modular and quoted annually, with integration and onboarding priced separately.
Seeq: Does Seeq store my data?
No. It queries connected historians and databases in place. Removing Seeq leaves your data exactly where it was.
Authentise: Can it handle ITAR-controlled work?
Yes. It offers ITAR-compliant deployment alongside public cloud and private SaaS, which is a primary reason defence suppliers choose it.
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.
Authentise: Does it work with printers from more than one manufacturer?
Yes. It is designed for mixed fleets and captures machine data across vendors, which single-vendor software will not do.
Seeq: How is it licensed?
Per named user, with some historian connectors charged separately. Nothing is published; every number comes from a quote.
Authentise: Is it a full MES for a general machine shop?
No. It is built around additive workflows; subtractive-heavy shops need a general MES as well.
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.
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