Research · head to head
Aurelius vs TetraScience

Aurelius
Research
UX research repository for tagging notes, building insights and finding them again years later
- From
- $49/month
- Rated
- -

TetraScience
Research
Scientific data cloud that harmonises instrument output across the lab estate
- 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.; 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: Aurelius covers Research repository, TetraScience covers Instrument connectors.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Aurelius and TetraScience actually diverge.
| Attribute | Aurelius | TetraScience |
|---|---|---|
| Starting price | $49/month | On request |
| Pricing model | Flat monthly fee, unlimited users | quote |
| Platforms | Web | Web, Cloud, API |
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 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.
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 TetraScience
- A product organisation that wants every designer and product manager to search past research without paying forty repository seatsnot TetraScience
- A consultancy running discovery for multiple clients that needs tagged evidence kept separate per client but searchable internallynot TetraScience
- 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 TetraScience
TetraScience
- A pharmaceutical company trying to make twenty years of chromatography data usable for modelling rather than trapped on instrument workstationsnot Aurelius
- A biotech building machine learning models on assay data that currently requires manual export from every instrumentnot Aurelius
- A quality control laboratory needing instrument data captured with provenance and audit trail for regulated usenot Aurelius
- A company consolidating data from acquired sites where each site runs a different instrument vendor and informatics stacknot 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.
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
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
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 TetraScience if
- You need instrument connectors.
- You work on Web, Cloud, API.
- You also want tetra data harmonisation.
Questions people ask
- Is Aurelius or TetraScience better?
- Neither clearly leads. Aurelius starts at $49/month and TetraScience at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Aurelius or TetraScience?
- Aurelius starts at $49/month and TetraScience at On request.
- Does Aurelius or TetraScience run on more platforms?
- Aurelius runs on Web. TetraScience runs on Web, Cloud, API.
- 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 TetraScience is typically brought in for.
- What can Aurelius do that TetraScience cannot?
- Aurelius covers Research repository, Analysis board, Tagging, Insights and recommendations. TetraScience covers Instrument connectors, Tetra Data harmonisation, Cloud-native data platform, GxP package.
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.
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.
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.
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.
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.
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.
Aurelius: Is there single sign-on?
Only on Enterprise, along with IP allowlisting, Jira and advanced permissions. Everything below is quoted separately.
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.
Related pages
More on TetraScience
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