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Research · head to head

TetraScience vs Zappi

TetraScience logo

TetraScience

Research

Scientific data cloud that harmonises instrument output across the lab estate

From
On request
Rated
-
Full reviewWebsite
Zappi logo

Zappi

Research

Automated consumer insights platform for testing advertising, product concepts and brand health

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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.; Zappi nothing is published: pricing is a platform subscription plus a prepaid credit bundle quoted per customer, so a buyer cannot benchmark the cost against agency research without going through sales.
  • They diverge on capability: TetraScience covers Instrument connectors, Zappi covers Validated study templates.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which TetraScience and Zappi actually diverge.

Attributes where TetraScience and Zappi differ
AttributeTetraScienceZappi
PlatformsWeb, Cloud, APIWeb

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 TetraScience

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

Only in Zappi

  • Validated study templates
  • Respondent panel access
  • Normative benchmarks
  • Creative testing
  • Brand health tracking
  • AI analysis over history
  • Unlimited users
  • Exports and integrations

What people use each for

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

TetraScience

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

Zappi

  • A beverage brand screening thirty flavour concepts before committing to two for consumer testingnot TetraScience
  • A marketing team pre-testing three advertising edits in a day so a media booking deadline can be metnot TetraScience
  • An insights function replacing repeated ad-hoc agency studies with a comparable, accumulating body of test resultsnot TetraScience
  • A brand manager running continuous brand health tracking without negotiating a separate tracker contract each yearnot TetraScience

Where each one falls short

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

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.

Zappi

  • Nothing is published: pricing is a platform subscription plus a prepaid credit bundle quoted per customer, so a buyer cannot benchmark the cost against agency research without going through sales.
  • Credits are prepaid against a forecast of the year ahead, which means a team that overestimates research volume ends the year having paid for studies it never ran.
  • The template model that makes studies fast also constrains them; a research question that does not fit a validated instrument either gets forced into one or goes to an agency anyway.
  • Normative benchmarks are strongest in fast-moving consumer goods categories where Zappi has depth, and thinner in business-to-business, financial services and niche categories, where the comparison numbers mean less.
  • Because respondents come from Zappi-sourced panels, sample composition is a vendor decision rather than yours, and any team that needs a bespoke recruitment specification or a low-incidence audience will find the automated route unsuitable.

Pricing, plan by plan

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

Zappi

On request
  • Premium$undefined/year
    • Platform subscription with unlimited users
    • Access to all research solutions
    • Credit bundle scoped to annual research volume
  • Enterprise$undefined/year
    • Platform subscription with unlimited users
    • Multi-market and global organisation controls
    • Connected insights across markets and brands

Which should you pick?

Choose TetraScience if

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

Choose Zappi if

  • You need validated study templates.
  • You also want respondent panel access.
Zappi review

Questions people ask

Is TetraScience or Zappi better?
Neither clearly leads. TetraScience starts at On request and Zappi at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, TetraScience or Zappi?
TetraScience starts at On request and Zappi at On request.
Does TetraScience or Zappi run on more platforms?
TetraScience runs on Web, Cloud, API. Zappi runs on Web.
What is TetraScience best used for?
TetraScience is most often used for a pharmaceutical company trying to make twenty years of chromatography data usable for modelling rather than trapped on instrument workstations, a biotech building machine learning models on assay data that currently requires manual export from every instrument, a quality control laboratory needing instrument data captured with provenance and audit trail for regulated use, a company consolidating data from acquired sites where each site runs a different instrument vendor and informatics stack. Of those, a pharmaceutical company trying to make twenty years of chromatography data usable for modelling rather than trapped on instrument workstations and a biotech building machine learning models on assay data that currently requires manual export from every instrument are not what Zappi is typically brought in for.
What can TetraScience do that Zappi cannot?
TetraScience covers Instrument connectors, Tetra Data harmonisation, Cloud-native data platform, GxP package. Zappi covers Validated study templates, Respondent panel access, Normative benchmarks, Creative testing.

Answered from the vendors’ own pages

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.

Zappi: Does Zappi publish prices?

No. It publishes the structure, a platform subscription plus credits plus optional services, but not the numbers.

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.

Zappi: How fast do results come back?

Automated tests typically return within hours to a day, which is the main reason teams choose it over a commissioned study.

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.

Zappi: Do we still need an agency?

For standard concept, creative and brand tests, usually not. For bespoke methodologies and hard-to-reach audiences, yes.

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.

Zappi: Is there a per-seat charge?

No. Both published tiers include unlimited users; the variable cost is research credits.

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