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Research · head to head

Remesh vs Schrodinger

Remesh logo

Remesh

Research

Live AI-moderated conversations with hundreds of participants at once, analysed in real time

From
On request
Rated
-
Schrodinger logo

Schrodinger

Research

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

From
On request
Rated
-

The short version

  • Each has a real cost: Remesh pricing is not published and third-party estimates put annual contracts in the tens of thousands of dollars, which puts it out of reach for teams that only run occasional qualitative studies and cannot commit to an annual platform fee.; 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.
  • They diverge on capability: Remesh covers Live moderated sessions, Schrodinger covers Maestro.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Remesh and Schrodinger actually diverge.

Attributes where Remesh and Schrodinger differ
AttributeRemeshSchrodinger
PlatformsWeb, APILinux, macOS, Windows, Web

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 Remesh

  • Live moderated sessions
  • Collective dialogue
  • Flex asynchronous studies
  • Video research
  • Remy AI assistant
  • On-Demand Recruit
  • Real-time theme analysis
  • Practice sessions

Only in Schrodinger

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

What people use each for

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

Remesh

  • A brand team that needs to test three positioning statements with 400 target customers and know by the end of the day which one lands and with whomnot Schrodinger
  • An HR function running an employee listening session across several thousand staff where anonymity and volume both matternot Schrodinger
  • A public affairs team needing rapid citizen consultation on a policy option with evidence of how widely each objection is heldnot Schrodinger
  • An insights team that has to replace six focus groups with one session because fieldwork time has been cut and the decision cannot waitnot Schrodinger

Schrodinger

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

Where each one falls short

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

Remesh

  • Pricing is not published and third-party estimates put annual contracts in the tens of thousands of dollars, which puts it out of reach for teams that only run occasional qualitative studies and cannot commit to an annual platform fee.
  • The public review picture is inconsistent in a way worth investigating: a small number of positive buyer reviews on G2 sit alongside a poor Trustpilot rating driven mostly by participant complaints, so ask directly how participants are recruited and compensated before running a study on your own customers.
  • Funding has slowed sharply, from a 25 million USD round in 2021 to a 4.25 million USD round in late 2022, so procurement teams at large organisations should expect to run a vendor viability review.
  • The collective dialogue mechanic rewards views that many participants recognise and vote for, which systematically under-weights genuinely novel minority insight, so it is a poor fit for exploratory discovery work where the outlier is the point.
  • The discussion guide builder, especially spreadsheet import, is reported as unreliable, and because sessions are live with recruited participants a tooling failure during setup is expensive rather than merely annoying.

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.

Pricing, plan by plan

Remesh

On request
  • Remesh$undefined/year
    • Live moderated sessions
    • Flex asynchronous studies
    • Video research

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

Which should you pick?

Choose Remesh if

  • You need live moderated sessions.
  • You work on Web, API.
  • You also want collective dialogue.

Choose Schrodinger if

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

Questions people ask

Is Remesh or Schrodinger better?
Neither clearly leads. Remesh starts at On request and Schrodinger at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Remesh or Schrodinger?
Remesh starts at On request and Schrodinger at On request.
Does Remesh or Schrodinger run on more platforms?
Remesh runs on Web, API. Schrodinger runs on Linux, macOS, Windows, Web.
What is Remesh best used for?
Remesh is most often used for a brand team that needs to test three positioning statements with 400 target customers and know by the end of the day which one lands and with whom, an hr function running an employee listening session across several thousand staff where anonymity and volume both matter, a public affairs team needing rapid citizen consultation on a policy option with evidence of how widely each objection is held, an insights team that has to replace six focus groups with one session because fieldwork time has been cut and the decision cannot wait. Of those, a brand team that needs to test three positioning statements with 400 target customers and know by the end of the day which one lands and with whom and an hr function running an employee listening session across several thousand staff where anonymity and volume both matter are not what Schrodinger is typically brought in for.
What can Remesh do that Schrodinger cannot?
Remesh covers Live moderated sessions, Collective dialogue, Flex asynchronous studies, Video research. Schrodinger covers Maestro, Glide, FEP+, Desmond.

Answered from the vendors’ own pages

Remesh: How many people can join one session?

Sessions are designed for several hundred participants at once, which is the core reason to choose it over a conventional focus group.

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.

Remesh: Does it publish pricing?

No. Contracts are quoted annually, typically scoped by session volume, and third-party estimates place them in the tens of thousands of dollars per year.

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.

Remesh: Can it replace a survey?

Not entirely. It produces open-ended language with agreement percentages, which is stronger than a survey for understanding reasoning but weaker for precise population estimates.

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.

Remesh: Does Remesh recruit participants for me?

Yes, through On-Demand Recruit, typically delivering a panel within about 24 hours, or you can bring your own list.

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.

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