Scientific AI, on your institution's terms

AI can bring computational expertise to every research team. For your teams to use it privately and safely on their data and research questions, it has to follow your institution's policies and legal obligations. Zatoona Labs gives your researchers a scientific AI workbench that your institution governs.

Governed by your policies

You decide where it runs, which models it uses and who can see your data. These choices are set for your whole deployment.

Where it runs
Zatoona Cloud in the EU, or your own environment, such as a digital research environment.
Which models
EU-hosted providers that keep nothing. Inside your institution, also your own hosted models and approved endpoints.
What may leave
Model calls pass one gateway, with the models and limits set for your deployment.
What is recorded
Logins, file activity and runs, in an audit log that stays with your deployment, and every model call at the gateway.
Who can see it
Inside your institution, no one at Zatoona. On Zatoona Cloud, we open data only for support, at your request.
The paperwork
A data processing agreement, our list of sub-processors, and the architecture and data flows your DPIA needs.

Every safeguard, in detail: Privacy and security

Zatoona CloudEU

Your data
Sandboxits own virtual machineAnalysis runs here
Gateway
EU-hosted models onlyzero retention, through the gateway

Inside your institution

Your data
Sandboxits own containerAnalysis runs here
Gateway
Your own models, or EU-hostedhosted inside, through the same gateway
Outside world
  • EU-hosted modelszero retention
  • Scientific sourcesPubMed, ChEMBL, Open Targets

What it is worth to your institution

Every group gets computational capacity

Groups with the data and the questions but no bioinformatician of their own can take on whole analyses, and your core facility keeps its time for the hardest problems.

Fewer dead ends at the bench

Findings are stress-tested before they cost lab time, patient samples or a grant cycle.

Methods outlive the people who wrote them

Analyses run as reproducible workflows the institution keeps, so a method stays when a PhD student or postdoc moves on.

One route to approve, instead of many

One setup and one set of safeguards, so research leadership can say yes to AI without reviewing a new tool for every lab.

88established workflows, from target identification to trial design
47scientific databases, connected and ready to search
58packages and methods, ready in every sandbox

Available to every group from the first day.

How we get started

Most institutions start with a pilot: a few groups, real projects, and your review built in.

A first conversation

About your research groups, the data they work with and the questions they want to take on.

Scope it together

Choose the groups and projects to start with, on Zatoona Cloud or in-house, and agree what a good outcome looks like.

Your review

We work through your process with your privacy officer, IT and information management, and share the architecture and data flows they need.

Run the pilot

Your researchers work in Zatoona Labs with support from our team, and we check in with them regularly.

Decide together

We look at what the groups found and how they worked, and decide with you whether and how to open it to more labs.

How we see working together

We are looking for a small number of institutions to build Zatoona Labs with.

Built with your researchers

As one of our first institutions, your researchers shape what we build next: the workflows, tools and databases their work needs.

Your data, your findings

Your data and results stay yours. Nothing about your work is published without your sign-off, and any case study is written with you.

A team you can reach

A direct line to the people building Zatoona Labs, for onboarding, training and the questions your groups bring.

Room to grow

Start with a few groups, then open the same setup to more labs and departments when you are ready.

Talk to us

We start where your questions are. The people who usually get in touch, and what they ask about first:

  • Research leaders: what it can do for your groups and programs
  • IT and information security: the architecture, and running it in your environment
  • Privacy officers: data flows, the processing agreement and your DPIA

We are glad to walk your privacy officer and IT team through the architecture before anything starts. Prefer email? contact@zatoona.ai

A researcher looking for access for yourself? Request early access

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