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AI Scientists for governed health data

AI Scientists that work on the data that cannot move.

Deploy AI Scientists you build, inside your secure environment. Any model. Data never leaves the source.

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AI Scientist Studio: hero-feasibility (illustrative screen, synthetic data)

Trusted by the custodians of 275M+ patient records across 30+ countries

Genomics England logo Boehringer Ingelheim logo CanPath logo Dare UK logo

Deploy AI Scientists that do real work, from day one

Scientists ready for the jobs governance keeps blocking. Adapt them without code, or build your own from scratch.

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Cohort Scientist

Finds and characterises a cohort across every dataset you are allowed to see.

Federated query

Permission-aware

Explains its steps

AI Scientist Studio: stratification (illustrative screen, synthetic data)

Feasibility Scientist

Answers “do we have the patients?” across every site in minutes, without moving a record.

Counts across sites

No data movement

Minutes, not months

AI Scientist Studio: hero-feasibility (illustrative screen, synthetic data)

Target Scientist

Validates drug targets against real-world cohorts and genomic evidence.

Genomics + EHR

Ranks the evidence

Cites every source

AI Scientist Studio: target-validation (illustrative screen, synthetic data)

Evidence Scientist

Runs the analysis plan, writes it up, and cites every step.

Python, R, SQL

Audit trail

Publication-ready

AI Scientist Studio: rwe-survival (illustrative screen, synthetic data)

Safety Scientist

Watches for safety signals across sites and explains what it found.

Flags signals

Explains why

Routes to a reviewer

AI Scientist Studio: safety-signal (illustrative screen, synthetic data)

Phenotyping Scientist

Deep phenotyping from EHR, genomic and imaging data, without moving any of it.

Multi-modal

OMOP and FHIR

Reproducible

AI Scientist Studio: two-answers (illustrative screen, synthetic data)

Harmonisation Scientist

Maps and harmonises incoming data to standard models, and checks its own work.

Suggests mappings

Validates quality

Flags gaps

AI Scientist Studio: build-agent-model (illustrative screen, synthetic data)

Build your own

Describe the scientist, choose the model, add tools and knowledge bases. No code.

Any model

Your tools

Your knowledge

AI Scientist Studio: build-agent-general (illustrative screen, synthetic data)

Bring the AI to the data, not the data to the AI

Same model, same question, two answers. Nothing is copied. Only approved results leave, through Airlock.

AI Scientist Studio: two-answers (illustrative screen, synthetic data)

Permissions

The scientist sees only what the user can see. Nothing more.

Audit

Every action, prompt and output is logged inside your environment.

Airlock

Only approved results leave. Chat history and outputs stay where the data is.

Any model

GPT, Gemini, Claude, open models, or your own, on the licence you already have.

Your tools

Scientific tools, connectors and knowledge bases, added without code.

Federated

Runs where each dataset lives, across sites, clouds and custodians.

Every step of the analysis, governed.

One environment where researchers, AI Scientists and data custodians share the same permissions, and every result is accounted for.

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Question asked

Scientist assigned

Permissions checked

Data stays put

Analysis run

Output reviewed

Airlock approved

Result delivered

Every question is different. Now your scientists are too.

Describe the scientist you need. It is ready in minutes, with your model, your tools and your data.

AI Scientist Studio: build-agent-general (illustrative screen, synthetic data)

One studio where your models, tools and data connect.

Bring any model, any scientific tool and any knowledge base. Data never leaves the source.

Use any model

GPT, Gemini, Claude, open models, or your own, connected to governed data through the Studio.

Bring your tools and knowledge

Scientific tools, connectors and knowledge bases, added without code.

Runs where the data lives

Your cloud, your sites, federated across custodians. Nothing is copied.

AI Scientist Studio: build-agent-model (illustrative screen, synthetic data)

Real research teams. Real outcomes.

I am incredibly excited that Lifebit joined us to launch the next phase of our research capabilities.

Chris Wigley, former CEO

Genomics England

Genomics England logo
Genomics England logo

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

Boehringer Ingelheim logo
Boehringer Ingelheim logo

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

CanPath logo
CanPath logo

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

See case studies →

Your first AI Scientist in 8 weeks

One blocked workflow, your governed data, your model. Lifebit brings the scientist, the configuration, the secure execution and the governance pack. Limited founding-partner places this quarter.

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Recognised by custodians.
Used by researchers.

Genomics England logo

Genomics England

Federated Trusted Research Environment for national genomic medicine research

See the case study →

275M+

patient records under management

Deployed across 30+ countries, federated by design since 2017

FedRAMP, ISO 27001, GDPR, AICPA SOC, HIPAA
GDPR, SOC 2, ISO 27001, HIPAA and FedRAMP

AI does the work. You keep the controls.

Visit Trust Center →

Permissions

The scientist sees only what the user can see, inside your environment.

Audit

Every action, prompt and output is logged where the data lives.

Airlock

Only approved results leave. Chat history and outputs stay.

Five Safes

Safe Settings, Safe Outputs and Safe Projects hold when the researcher is an agent.

AI Scientist Studio: guardrails-audit (illustrative screen, synthetic data)

Why pharma R&D leaders choose Lifebit

AI Scientist Studio: rwe-survival (illustrative screen, synthetic data)

Live in weeks, not quarters

One blocked workflow, your data, your model, running in 6 to 8 weeks.

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A platform researchers already use

275M+ patient records are already governed on Lifebit, across 30+ countries.

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The advanced capabilities of Lifebit’s Trusted Research Environment, coupled with our focus to reimagine the infrastructure of cancer care, are enabling us to unlock the potential of cancer data.

Dr. Arun Sujenthiran, UK Clinical Lead and Senior Medical Director, Flatiron Health

Flatiron Health logo
Two scientists reviewing results together

Built for the whole R&D organisation

Genomics, real-world data, imaging and trials on one federated environment, under the same governance.

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AI Scientists for the data that cannot move.

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Frequently asked questions

Is AI Scientist Studio available now?

It launches with early-access founding partners this quarter. Book a demo to see it run on your use case and reserve a place.

Does any data leave our environment?

No. The scientist runs inside your environment or the custodian’s, inherits the user’s permissions, and only Airlock-approved results leave. Chat history and outputs stay.

Which models work?

Any: GPT, Gemini, Claude, open models, or your own, on the licence you already have.

How long does security review take?

Weeks, not quarters. We provide the governance pack up front (Five Safes for AI agents, audit and Airlock controls, data-flow diagram), and the platform is already deployed with national-scale custodians.