Federated Trusted Research Environment
Analyze sensitive health data,
without moving it
One secure workspace where approved researchers find data, build cohorts, and run analysis. Your data stays in your cloud, and only reviewed results leave.
What would you like to do?
Book a demo on federation →A 30-minute walkthrough on your data. Security pack included.
Not ready for a call? Read our TRE white papers or see pricing.
Illustrative screen · synthetic data
Trusted by the custodians of 275M+ patient records across 30+ countries
Less waiting. More research.
Everything researchers and data custodians need, in one governed place.
Cohorts in a few clicks
Filter by diagnosis, labs, medications, and genotype across every dataset you are approved to see. Save the cohort and send it straight to analysis.
✓ Phenotype and genotype filters together
✓ Counts across every approved dataset
✓ Saved cohorts your whole team can reuse
Only approved results leave
Exports are off by default. Researchers request what they need, and your reviewers approve or reject each request with a reason. Every decision is logged.
✓ Default-deny exports and downloads
✓ Preview files before you approve
✓ Auto-approve outputs from verified workflows
Tom · Airlock managerOne analysis, every site
Run the same analysis where each dataset lives, across hospitals, biobanks, clouds, and countries. Each custodian keeps control. Only aggregate, approved results come back.
✓ Data stays within each site’s jurisdiction
✓ Harmonized to OMOP and other common models
✓ Federated GWAS, meta-analysis, and machine learning
Your tools, ready on day one
JupyterLab, RStudio, and Spark notebooks, Nextflow and WDL pipelines, and ready analyses such as GWAS, VEP, and PRS. Bring your own apps by URL.
✓ Notebooks, pipelines, and containers in one place
✓ Reproducible runs you can clone and rerun
✓ Costs and compute managed per workspace
Screens are illustrative, with synthetic data.
What is a federated Trusted Research Environment?
A Trusted Research Environment (TRE) is a secure, governed platform where approved researchers analyze sensitive health data without it leaving its source. Also known as a Secure Data Environment or Data Safe Haven, it follows the Five Safes framework.
A federated TRE goes one step further. It connects data held in different places, clouds, and countries, and runs the same analysis at each one. The data never moves; only approved results come back.
Data copied to a vendor cloud
Data stays in your cloud; compute comes to it
Months to set up each project
Workspaces set up in minutes, with role-based access
Raw downloads you cannot audit
Exports off by default; every result reviewed in Airlock
One site at a time
One analysis across many sites, nothing pooled
Real research teams. Real outcomes.
“
I am incredibly excited that Lifebit and AWS have joined us to launch the next phase of our research capabilities.
Chris Wigley, former CEO
Genomics England
“
The Lifebit Platform is playing an important part of Boehringer Ingelheim’s broader strategy to capture translational disease insights from large external healthcare biobanks and ultimately to accelerate the development of innovative medicines.
Dr. Jan Nygaard Jensen, SVP & Global Head of Computational Biology & Digital Sciences
Boehringer Ingelheim
“
This partnership with Lifebit marks a significant advancement in our ability to manage and utilize data for health research.
Dr Philip Awadalla, National Scientific Director
CanPath
“
Through our collaboration with Lifebit, we are advancing the use of research and clinical insights using clinico-genomic data for precision medicine.
Andy Ta, Chief Data Officer and Director, Data Analytics & AI
Synapxe, Singapore
Researchers do the work.
You keep the controls.
Data stays in your cloud
AWS, Azure, Google Cloud, or on premises.
Every action logged
A full audit trail inside your environment.
Built on FedRAMP Moderate and NIST 800-53 controls
Aligned with GDPR and HIPAA, and the Five Safes framework.
Talk to the team behind this platform
Sam Pike
Manager, Healthcare & Life Sciences
Sangram Sahu
Senior Solutions Manager
Works with
Frequently asked questions
Does any data leave our environment?
No. Patient-level data stays in your cloud. Only results an admin approves in Airlock can leave.
Where does it run?
In your own cloud account or tenancy, on AWS, Azure, or Google Cloud, or on premises.
What security controls does it use?
It is built on FedRAMP Moderate and NIST 800-53 controls, aligned with GDPR and HIPAA, and follows the Five Safes framework.
What is the difference between a TRE and a federated TRE?
A TRE keeps data secure in one environment. A federated TRE connects many environments and runs the same analysis at each, without pooling the data.
How long does it take to go live?
It depends on your data sources and approvals. In the first call we agree on one project and one data source, and give you a plan with dates.
Can researchers use AI inside the TRE?
Yes. With AI Scientist Studio, AI Scientists run inside your environment with the user’s permissions, and their outputs go through the same Airlock review.
How is it priced?
There are four plans, from a free plan for small teams to Enterprise for pharma and national programs. See pricing.