Catch tomorrow's disease in today's data

Catch tomorrow's disease in today's data


Our Mission is Simple: Diagnose more people, more accurately, and faster - breaking the deadlock that has kept us reactive for far too long








Our Mission is Simple: Diagnose more people, more accurately, and faster - breaking the deadlock that has kept us reactive for far too long





Why does it matter?

Every Year:

20 million people die from cardiovascular diseases

11 million people die from sepsis

10 million people die from cancer

Tens of billions in healthcare costs - and rising

Every Year:

20 million people die from cardiovascular diseases

11 million people die from sepsis

10 million people die from cancer

Tens of billions in healthcare costs - and rising

Every Year:

20 million people die from cardiovascular diseases

11 million people die from sepsis

10 million people die from cancer

Tens of billions in healthcare costs - and rising

These aren't new mysterious threats

We've known these diseases for Millenia

So why are people still dying?

These aren't new mysterious threats

We've known these diseases for Millenia

So why are people still dying?

These aren't new mysterious threats

We've known these diseases for Millenia

So why are people still dying?

By the time most patients experience symptoms and receive a diagnosis, modern treatments are already past their window of maximum effectiveness

The problem isn't our treatment capabilities - it's that we're entering the fight too late

By the time most patients experience symptoms and receive a diagnosis, modern treatments are already past their window of maximum effectiveness

The problem isn't our treatment capabilities - it's that we're entering the fight too late

By the time most patients experience symptoms and receive a diagnosis, modern treatments are already past their window of maximum effectiveness

The problem isn't our treatment capabilities - it's that we're entering the fight too late

The Diagnostic Deadlock

The Diagnostic Deadlock

The Diagnostic Deadlock


But where does the problem actually come from?


The Specialist Problem

The Testing Problem

The Data Problem

The Testing Problem

We can't test everyone. Tests are expensive and invasive, making universal screening impractical. Imagine trying to scan millions of people annually just for lung cancer. The logical solution? We must identify and target high-risk individuals before symptoms appear. This is impossible today.

The Specialist Problem

The Data Problem

The Testing Problem

We can't test everyone. Tests are expensive and invasive, making universal screening impractical. Imagine trying to scan millions of people annually just for lung cancer. The logical solution? We must identify and target high-risk individuals before symptoms appear. This is impossible today.

The Specialist Problem

The Data Problem

Breaking the Cycle: Introducing Constellation


Constellation detects diseases before symptoms appear by uncovering hidden patterns across your complete medical history




Unify entire medical histories

Across any medical facility - without ever needing to move the data

Operate in real-time with noisy medical data

Extracting meaningful insights from inherently chaotic electronic health records




Provide multi-modal personalised diagnosis

Connecting patterns across different types of medical data (scans, blood tests, clinical notes)


Transforming fragmented information into a unified diagnostic 


Unify entire medical histories


Across any medical facility - without ever needing to move the data

Operate in real-time with noisy medical data

Extracting meaningful insights from inherently chaotic electronic health records




Provide multi-modal personalised diagnosis

Connecting patterns across different types of medical data (scans, blood tests, clinical notes)


Transforming fragmented information into a unified diagnostic 

Unify entire medical histories

Across any medical facility - without ever needing to move the data

Operate in real-time with noisy medical data

Extracting meaningful insights from inherently chaotic electronic health records




Provide multi-modal personalised diagnosis

Connecting patterns across different types of medical data (scans, blood tests, clinical notes)


Transforming fragmented information into a unified diagnostic 

Clinical Decision Support - Reimagined

Embedded in medical practice, our approach fundamentally transforms healthcare delivery in three critical ways:

From Reactive to Proactive

We can now perform precise risk stratification across the general population, identifying high-risk individuals who need priority testing

Reducing The Burden

By preventing unnecessary hospital stays, we reduce both institutional costs and the immense pressure on our already strained medical workforce



Empowering Medical Teams

We cut diagnostic processing time for doctors, helping them manage the increasing demands of our aging population

The Solution is the Ecosystem


To deliver on this promise, we're not building yet another SaaS platform


Instead, we are carefully cultivating an ecosystem, at the center of which sits Constellation




Van Der Schaar Lab

World-renowned AI research lab focusing on application of Machine Learning in Medicine

Van Der Schaar Lab

World-renowned AI research lab focusing on application of Machine Learning in Medicine

Van Der Schaar Lab

World-renowned AI research lab focusing on application of Machine Learning in Medicine

CADRE Data Consortium

Exclusive partnership with a global network of data providers and clinicians

CADRE Data Consortium

Exclusive partnership with a global network of data providers and clinicians

CADRE Data Consortium

Exclusive partnership with a global network of data providers and clinicians

Cambridge University

Community of researchers and medical experts in precision Medicine

Cambridge University

Community of researchers and medical experts in precision Medicine

Cambridge University

Community of researchers and medical experts in precision Medicine

Bio-Tech Partner

Collaborating to develop genomic foundation models to serve large Pharma companies

Bio-Tech Partner

Collaborating to develop genomic foundation models to serve large Pharma companies

Bio-Tech Partner

Collaborating to develop genomic foundation models to serve large Pharma companies