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Research · head to head

Aurelius vs Schrodinger

Aurelius logo

Aurelius

Research

UX research repository for tagging notes, building insights and finding them again years later

From
$49/month
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: Aurelius aurelius does not recruit participants or run unmoderated studies, so it is always a second tool alongside a testing or recruitment platform and never the whole research budget.; 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: Aurelius covers Research repository, Schrodinger covers Maestro.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Aurelius and Schrodinger actually diverge.

Attributes where Aurelius and Schrodinger differ
AttributeAureliusSchrodinger
Starting price$49/monthOn request
Pricing modelFlat monthly fee, unlimited usersquote
PlatformsWebLinux, macOS, Windows, Web

Identical on both: 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 Aurelius

  • Research repository
  • Analysis board
  • Tagging
  • Insights and recommendations
  • Transcription
  • AI assist
  • Automatic report builder
  • Universal search

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.

Aurelius

  • A research team of three whose findings currently live in individual Miro boards and Google Docs that nobody outside the team can find six months laternot Schrodinger
  • A product organisation that wants every designer and product manager to search past research without paying forty repository seatsnot Schrodinger
  • A consultancy running discovery for multiple clients that needs tagged evidence kept separate per client but searchable internallynot Schrodinger
  • A team preparing a repeat study who need to know what was already learned about the same problem two years ago before they recruit anyonenot 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 Aurelius
  • A structure based design campaign that needs docking at scale against a target with a good crystal structurenot Aurelius
  • A materials group modelling polymer or electrolyte properties before committing to formulation experimentsnot Aurelius
  • A university modelling group that qualifies for the published academic site licence and needs Maestro across a teaching and research cohortnot Aurelius

Where each one falls short

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

Aurelius

  • Aurelius does not recruit participants or run unmoderated studies, so it is always a second tool alongside a testing or recruitment platform and never the whole research budget.
  • Integrations are thin, with Zapier, Jira and Slack rather than direct connections to the call recording and testing tools most teams already run, so getting material in often means manual upload.
  • The tag vocabulary is only as good as the discipline applied to it, and repositories where several researchers invent overlapping tags become unsearchable within a year with no built-in governance to prevent it.
  • Unlimited users is genuinely unlimited but permissions are basic below Enterprise, so a team that needs client-safe or stakeholder-only views has to buy the quoted tier for something that reads as a table-stakes control.
  • It is a small independent vendor competing with much better funded repositories, which is a real procurement risk for an organisation storing years of research in it, and enterprise assurance material such as penetration test reports sits behind the top tier.

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

Aurelius

$49/month
  • Professional$49/month
    • Unlimited users
    • Unlimited projects and storage
    • Notes, tags and documents
  • Premium$199/month
    • Everything in Professional
    • Recommendations
    • Universal search across projects
  • Enterprise$undefined/year
    • Everything in Premium
    • SSO with SAML 2.0
    • IP allowlisting

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 Aurelius if

  • You need research repository.
  • You also want analysis board.

Choose Schrodinger if

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

Questions people ask

Is Aurelius or Schrodinger better?
Neither clearly leads. Aurelius starts at $49/month and Schrodinger at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Aurelius or Schrodinger?
Aurelius starts at $49/month and Schrodinger at On request.
Does Aurelius or Schrodinger run on more platforms?
Aurelius runs on Web. Schrodinger runs on Linux, macOS, Windows, Web.
What is Aurelius best used for?
Aurelius is most often used for a research team of three whose findings currently live in individual miro boards and google docs that nobody outside the team can find six months later, a product organisation that wants every designer and product manager to search past research without paying forty repository seats, a consultancy running discovery for multiple clients that needs tagged evidence kept separate per client but searchable internally, a team preparing a repeat study who need to know what was already learned about the same problem two years ago before they recruit anyone. Of those, a research team of three whose findings currently live in individual miro boards and google docs that nobody outside the team can find six months later and a product organisation that wants every designer and product manager to search past research without paying forty repository seats are not what Schrodinger is typically brought in for.
What can Aurelius do that Schrodinger cannot?
Aurelius covers Research repository, Analysis board, Tagging, Insights and recommendations. Schrodinger covers Maestro, Glide, FEP+, Desmond.

Answered from the vendors’ own pages

Aurelius: Does the price really include unlimited users?

Yes. Professional at 49 US dollars a month and Premium at 199, both billed yearly, both with unlimited users, projects and storage.

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.

Aurelius: Can I run usability tests in it?

No. Aurelius stores and analyses research; it does not recruit participants or host sessions. Pair it with a testing tool.

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.

Aurelius: What is the difference between Professional and Premium?

Premium adds universal cross-project search, collections, recommendations and Zapier. If your value comes from finding old research, Premium is the tier that delivers it.

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.

Aurelius: Is there single sign-on?

Only on Enterprise, along with IP allowlisting, Jira and advanced permissions. Everything below is quoted separately.

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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