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Research · head to head

Suzy vs TetraScience

Suzy logo

Suzy

Research

Enterprise consumer insights on an owned US panel, resold elsewhere through Cint

From
On request
Rated
-
Full reviewWebsite
TetraScience logo

TetraScience

Research

Scientific data cloud that harmonises instrument output across the lab estate

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Suzy the proprietary Crowdtap panel is US only at around a million consumers with roughly 50,000 verified active monthly, and everything international is resold Cint supply, so the speed and verification argument that justifies the price applies to one market.; TetraScience pricing is scoped on connected instruments and data engineering effort rather than a published unit, so the cost of adding a new laboratory or an acquired site is impossible to forecast without going back to the vendor.
  • They diverge on capability: Suzy covers Suzy Insights, TetraScience covers Instrument connectors.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Suzy and TetraScience actually diverge.

Attributes where Suzy and TetraScience differ
AttributeSuzyTetraScience
PlatformsWeb, iOS, AndroidWeb, Cloud, API

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Research).

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 Suzy

  • Suzy Insights
  • Suzy Live
  • Suzy Audiences
  • Suzy Speaks
  • Video open ends
  • Advanced methods
  • Data Explorer
  • AI Decision Engine

Only in TetraScience

  • Instrument connectors
  • Tetra Data harmonisation
  • Cloud-native data platform
  • GxP package
  • Scientific applications
  • Data provenance
  • Open access
  • AWS Marketplace availability

What people use each for

The jobs each tool is most often brought in to do.

Suzy

  • A US consumer packaged goods brand that needs concept testing back the same day because a packaging decision is due at the end of the week.not TetraScience
  • An insights department running an always-on brand tracker on a US audience without re-commissioning fieldwork every wave.not TetraScience
  • A team that wants quant screening followed immediately by moderated qual with the same respondents, rather than two vendors and two timelines.not TetraScience
  • A product team testing claims and price sensitivity with MaxDiff and conjoint on a panel they can go back to repeatedly.not TetraScience

TetraScience

  • A pharmaceutical company trying to make twenty years of chromatography data usable for modelling rather than trapped on instrument workstationsnot Suzy
  • A biotech building machine learning models on assay data that currently requires manual export from every instrumentnot Suzy
  • A quality control laboratory needing instrument data captured with provenance and audit trail for regulated usenot Suzy
  • A company consolidating data from acquired sites where each site runs a different instrument vendor and informatics stacknot Suzy

Where each one falls short

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

Suzy

  • The proprietary Crowdtap panel is US only at around a million consumers with roughly 50,000 verified active monthly, and everything international is resold Cint supply, so the speed and verification argument that justifies the price applies to one market.
  • Customers have asked Suzy to build proprietary panels with native speakers in Germany, France, Japan, India and Brazil, which confirms those do not exist today; multi-market brands need a second vendor and lose the single-source comparison.
  • Reviewers report the panel skews female and millennial and falls short on Gen Z, male and various ethnic segments, and that niche or B2B audiences are hard to reach, so quota fills can be slow or impossible.
  • Reviewers also raise data trust concerns about respondent sourcing and vetting, including one naming bot responses and acquiescence bias, which is the standing risk of any single owned opt-in panel with repeat respondents.
  • Pricing is a sales-led annual commitment reported to run around $88,000 a year at the median with onboarding fees and per-seat charges on top, with no trial, no self-serve and no pay-per-response option, so there is no cheap way to validate fit.
  • Credits are pre-committed monthly against forecast activity with no published overage rate, so under-use is wasted spend and a busy quarter triggers an unbudgeted purchase.
  • Integrations are genuinely thin: there is no public integrations page and no public API documentation, and the only confirmed external data relationship is Cint, so expect to move data by export.

TetraScience

  • Pricing is scoped on connected instruments and data engineering effort rather than a published unit, so the cost of adding a new laboratory or an acquired site is impossible to forecast without going back to the vendor.
  • Value depends entirely on connector coverage for your actual instrument estate; an instrument type without an existing productised connector becomes a services engagement with its own timeline and cost.
  • The GxP package is a separate annual subscription rather than an included capability, so a company that starts in research and later needs regulated use faces an additional commercial line and a validation exercise.
  • It is infrastructure with no end-user application of its own, so the business case rests on downstream analytics and AI work that has to be resourced and delivered separately before anyone sees a benefit.
  • Deployment is a multi-year programme touching instruments, networks, validated systems and site IT, and organisations consistently underestimate the internal effort required from people who also have day jobs running the laboratory.

Pricing, plan by plan

Suzy

On request
  • Suzy$undefined/year
    • Annual subscription with pre-committed monthly research credits
    • Credit volume set against forecast study activity
    • Onboarding fees and per-seat charges quoted separately

TetraScience

On request
  • Tetra Scientific Data Cloud$undefined/year
    • Priced on number of instruments connected and scope of data engineering
    • Contract entitles a specified quantity of use for its duration
    • Multi-year enterprise agreements are the norm
  • Tetra GxP package$undefined/year
    • Separate annual subscription executed within the licence agreement
    • Audit trail, data provenance, control matrices and software hazard analysis
    • Disaster recovery provisions

Which should you pick?

Choose Suzy if

  • You need suzy insights.
  • You work on Web, iOS, Android.
  • You also want suzy live.
Suzy review

Choose TetraScience if

  • You need instrument connectors.
  • You work on Web, Cloud, API.
  • You also want tetra data harmonisation.
TetraScience review

Questions people ask

Is Suzy or TetraScience better?
Neither clearly leads. Suzy starts at On request and TetraScience at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Suzy or TetraScience?
Suzy starts at On request and TetraScience at On request.
Does Suzy or TetraScience run on more platforms?
Suzy runs on Web, iOS, Android. TetraScience runs on Web, Cloud, API.
What is Suzy best used for?
Suzy is most often used for a us consumer packaged goods brand that needs concept testing back the same day because a packaging decision is due at the end of the week., an insights department running an always-on brand tracker on a us audience without re-commissioning fieldwork every wave., a team that wants quant screening followed immediately by moderated qual with the same respondents, rather than two vendors and two timelines., a product team testing claims and price sensitivity with maxdiff and conjoint on a panel they can go back to repeatedly.. Of those, a us consumer packaged goods brand that needs concept testing back the same day because a packaging decision is due at the end of the week. and an insights department running an always-on brand tracker on a us audience without re-commissioning fieldwork every wave. are not what TetraScience is typically brought in for.
What can Suzy do that TetraScience cannot?
Suzy covers Suzy Insights, Suzy Live, Suzy Audiences, Suzy Speaks. TetraScience covers Instrument connectors, Tetra Data harmonisation, Cloud-native data platform, GxP package.

Answered from the vendors’ own pages

Suzy: Is the panel global?

No. Crowdtap, the owned panel, is US only. International studies run on Cint supply, which you could contract for directly.

TetraScience: What is the pricing unit?

Connected instruments and the scope of data engineering, over a fixed contract term. There is no published per-seat or per-gigabyte rate.

Suzy: What does it cost?

Nothing is published. Third-party analysis puts the median contract around $88,000 a year with a range roughly $34,000 to $187,500, plus onboarding and per-seat fees.

TetraScience: Does it replace my ELN or LIMS?

No. It sits underneath them, harmonising instrument data and making it available to whatever applications you already run.

Suzy: Is there an API?

Nothing public. Suzy publishes no API documentation and no named connectors beyond Cint. Verify any integration requirement in the sales call before committing.

TetraScience: Is it usable in a GxP environment?

Yes, with the separately subscribed Tetra GxP package. It reduces validation effort substantially but does not eliminate your validation obligation.

Suzy: What changed in April 2026?

Suzy repositioned as an AI Decision Engine with Intelligence and Impact modules, while headcount fell from about 230 to 186. Ask how the roadmap is now split between that and the classic survey and qual products.

TetraScience: Can I get the harmonised data out?

Yes. Tetra Data is designed to be accessible to your own analytics tools rather than confined to the platform.

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