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Manufacturing · head to head

Fictiv vs Seeq

Fictiv logo

Fictiv

Manufacturing

On-demand custom manufacturing with instant CAD quoting, now owned by MISUMI

From
On request
Rated
-
Seeq logo

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: Fictiv this is a manufacturing service, not software you licence, so there is nothing to deploy or own and switching means re-sourcing parts rather than exporting data.; 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: Fictiv covers Instant CAD quoting, Seeq covers Query in place.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Fictiv and Seeq actually diverge.

Attributes where Fictiv and Seeq differ
AttributeFictivSeeq
PlatformsWeb, CloudWeb, 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 Fictiv

  • Instant CAD quoting
  • Design for manufacturing feedback
  • Multi-region network
  • Multiple processes
  • Quality documentation
  • Order and revision tracking
  • Bridge to production

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.

Fictiv

  • An engineering team needing machined prototypes in days without qualifying a machine shop firstnot Seeq
  • Moving a part between regions to change landed cost or tariff exposure without re-sourcing a suppliernot Seeq
  • Bridge production between prototype tooling and a committed high-volume suppliernot Seeq
  • Getting design-for-manufacturing feedback on a part before committing to injection mould toolingnot Seeq

Seeq

  • A pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheetsnot Fictiv
  • A reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of historynot Fictiv
  • Refinery process engineers building a recurring shift report that pulls live values rather than being rebuilt by hand each weeknot Fictiv
  • A site whose data lake project has stalled and that needs engineers analysing plant history now, without waiting for an ingestion pipelinenot Fictiv

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Fictiv

  • This is a manufacturing service, not software you licence, so there is nothing to deploy or own and switching means re-sourcing parts rather than exporting data.
  • A broker sits between you and the shop cutting your part, so at stable production volumes direct sourcing usually beats the platform price and the platform knows it.
  • You do not choose or generally know the specific supplier, which makes process control, supplier audits and traceability harder in regulated or aerospace work.
  • MISUMI completed a $350 million acquisition in June 2025, so roadmap and pricing now answer to a Japanese industrial components group rather than to an independent platform strategy.
  • Instant quotes are geometry-driven and complex or tightly toleranced parts drop into engineer review, so the speed advantage that justified the choice disappears exactly on the parts that are hardest to source.

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

Fictiv

On request
  • Per-part quoting$undefined/month
    • No subscription or platform fee
    • Priced per part by geometry, material, process and quantity
    • Instant quotes for many processes, engineer review for complex parts

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 Fictiv if

  • You need instant cad quoting.
  • You work on Web, Cloud.
  • You also want design for manufacturing feedback.

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 Fictiv or Seeq better?
Neither clearly leads. Fictiv 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, Fictiv or Seeq?
Fictiv starts at On request and Seeq at On request.
Does Fictiv or Seeq run on more platforms?
Fictiv runs on Web, Cloud. Seeq runs on Web, Cloud, On-premise, Windows, Linux.
What is Fictiv best used for?
Fictiv is most often used for an engineering team needing machined prototypes in days without qualifying a machine shop first, moving a part between regions to change landed cost or tariff exposure without re-sourcing a supplier, bridge production between prototype tooling and a committed high-volume supplier, getting design-for-manufacturing feedback on a part before committing to injection mould tooling. Of those, an engineering team needing machined prototypes in days without qualifying a machine shop first and moving a part between regions to change landed cost or tariff exposure without re-sourcing a supplier are not what Seeq is typically brought in for.
What can Fictiv do that Seeq cannot?
Fictiv covers Instant CAD quoting, Design for manufacturing feedback, Multi-region network, Multiple processes. Seeq covers Query in place, Capsules, Asset trees, Seeq Data Lab.

Answered from the vendors’ own pages

Fictiv: Is Fictiv software I can buy?

No. It is an on-demand manufacturing service with a quoting and order management platform. You pay for parts, not for the software.

Seeq: Does Seeq store my data?

No. It queries connected historians and databases in place. Removing Seeq leaves your data exactly where it was.

Fictiv: Is Fictiv still independent?

No. MISUMI Group completed its acquisition, valued at $350 million, in June 2025. Fictiv continues to trade under its own name.

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.

Fictiv: Do I know which factory makes my part?

Generally not. Fictiv manages a vetted network and allocates work within it, which is a limitation if your quality system requires named and audited suppliers.

Seeq: How is it licensed?

Per named user, with some historian connectors charged separately. Nothing is published; every number comes from a quote.

Fictiv: Is it cheaper than sourcing directly?

For prototypes and low volumes, usually yes once you count the cost of finding and qualifying a supplier. At stable production volumes, direct sourcing is normally cheaper.

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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