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Research · head to head

Schrodinger vs Suzy

Schrodinger logo

Schrodinger

Research

Physics based molecular modelling and drug discovery software, licensed by token pool

From
On request
Rated
-
Full reviewWebsite
Suzy logo

Suzy

Research

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

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Schrodinger licences are sold as token pools rather than unlimited module access, so a department can be blocked mid campaign because colleagues are consuming concurrency, and expanding the pool is a new commercial negotiation rather than a setting.; 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.
  • They diverge on capability: Schrodinger covers Maestro, Suzy covers Suzy Insights.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Schrodinger and Suzy actually diverge.

Attributes where Schrodinger and Suzy differ
AttributeSchrodingerSuzy
PlatformsLinux, macOS, Windows, WebWeb, iOS, Android

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 Schrodinger

  • Maestro
  • Glide
  • FEP+
  • Desmond
  • Jaguar
  • LiveDesign
  • Materials Science suite

Only in Suzy

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

What people use each for

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

Schrodinger

  • A medicinal chemistry programme using FEP+ to prioritise which analogues to synthesise, where avoiding a handful of wasted syntheses pays for the licencenot Suzy
  • A structure based design campaign that needs docking at scale against a target with a good crystal structurenot Suzy
  • A materials group modelling polymer or electrolyte properties before committing to formulation experimentsnot Suzy
  • A university modelling group that qualifies for the published academic site licence and needs Maestro across a teaching and research cohortnot Suzy

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 Schrodinger
  • An insights department running an always-on brand tracker on a US audience without re-commissioning fieldwork every wave.not Schrodinger
  • A team that wants quant screening followed immediately by moderated qual with the same respondents, rather than two vendors and two timelines.not Schrodinger
  • A product team testing claims and price sensitivity with MaxDiff and conjoint on a panel they can go back to repeatedly.not Schrodinger

Where each one falls short

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

Schrodinger

  • Licences are sold as token pools rather than unlimited module access, so a department can be blocked mid campaign because colleagues are consuming concurrency, and expanding the pool is a new commercial negotiation rather than a setting.
  • Commercial pricing is not published and is negotiated against modules, cores and term, so two companies of similar size can pay very different amounts and neither can benchmark the other.
  • FEP+ needs substantial GPU capacity that is not included in the licence, so the real annual cost includes cloud or on premise hardware that often rivals the software line item.
  • The tools require trained computational chemists to produce trustworthy results, and an organisation without that function will generate predictions it cannot interpret or defend to its own medicinal chemists.
  • Schrodinger runs its own internal drug discovery pipeline alongside selling software to discovery companies, and some prospective customers treat that dual role as a conflict when discussing proprietary targets, which slows procurement even where contractual separation exists.

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.

Pricing, plan by plan

Schrodinger

On request
  • Commercial licence$undefined/year
    • Quoted per customer against modules, cores and licence term
    • Applications draw from a shared token pool that caps concurrency
    • GPU compute for FEP+ and Desmond is a separate cost, on premise or cloud
  • Academic site licence$undefined/year
    • Published academic entry around 7,500 USD a year for a premium package with a token allocation
    • Restricted to academic and research use, not work supporting a commercial enterprise
    • Maestro generally unrestricted with tokens shared for compute heavy applications

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

Which should you pick?

Choose Schrodinger if

  • You need maestro.
  • You work on Linux, macOS, Windows, Web.
  • You also want glide.
Schrodinger review

Choose Suzy if

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

Questions people ask

Is Schrodinger or Suzy better?
Neither clearly leads. Schrodinger starts at On request and Suzy at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Schrodinger or Suzy?
Schrodinger starts at On request and Suzy at On request.
Does Schrodinger or Suzy run on more platforms?
Schrodinger runs on Linux, macOS, Windows, Web. Suzy runs on Web, iOS, Android.
What is Schrodinger best used for?
Schrodinger is most often used for a medicinal chemistry programme using fep+ to prioritise which analogues to synthesise, where avoiding a handful of wasted syntheses pays for the licence, a structure based design campaign that needs docking at scale against a target with a good crystal structure, a materials group modelling polymer or electrolyte properties before committing to formulation experiments, a university modelling group that qualifies for the published academic site licence and needs maestro across a teaching and research cohort. Of those, a medicinal chemistry programme using fep+ to prioritise which analogues to synthesise, where avoiding a handful of wasted syntheses pays for the licence and a structure based design campaign that needs docking at scale against a target with a good crystal structure are not what Suzy is typically brought in for.
What can Schrodinger do that Suzy cannot?
Schrodinger covers Maestro, Glide, FEP+, Desmond. Suzy covers Suzy Insights, Suzy Live, Suzy Audiences, Suzy Speaks.

Answered from the vendors’ own pages

Schrodinger: How is Schrodinger software licensed?

Annual licences with a shared token pool. Tokens cap how much you can run at once rather than which modules you own outright.

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.

Schrodinger: Is there published pricing?

Only for academic site licences, which start around 7,500 USD a year for a premium package. Commercial pricing is quoted.

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.

Schrodinger: Do I need my own GPUs?

For FEP+ and Desmond in practice yes, or cloud GPU capacity. Compute is not included in the licence.

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.

Schrodinger: Does Schrodinger compete with its customers?

It runs its own drug pipeline as well as selling software. It manages this through contractual separation, but buyers with sensitive targets should raise it during procurement.

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.

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