Supporting neurological decision making with AI

Theia AI software extracts actionable insights from medical images and patient data to add clinical value and support treatment decisions.

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2.8 MILLION people are affected by Multiple Sclerosis (MS) globally1

MS presents as a wide range of symptoms that can significantly impact a person's quality of life. These can range from more common symptoms such as fatigue, blurred vision and numbness, to less common symptoms such as problems with hearing, speech and swallowing2.

MS costs the US $85.4 billion annually

These costs are are made up of $63bn on direct medical costs including medication, $21bn in societal costs such as missed work, and $1.1bn in caregiving and home modifications3.

Multiple Sclerosis is a relapsing disease that requires monitoring

80% of patients begin with relapsing-remitting MS where they experience periods of worsening symptoms (relapse) followed by recovery periods (remitting)4.

After 25 years, roughly 80% develop secondary-progressive MS where symptoms steadily worsen5.

MRIs play a vital role in diagnosis and the choice of therapy

MS is diagnosed through a combination of clinical evaluation and brain imaging in accordance with the McDonald Criteria6.

To signal changes in the disease and manage treatment to slow the progression of the disease,  patients are recommended regular monitoring with brain MRI scans every 12-32 months.

Our solution is applying AI to MRIs taken over time, to monitor the disease and suggest treatment intervention before symptoms worsen

Changes to treatment can slow progression and prevent worsening symptoms.

Our Team


CEO (Co-founder)

PhD in Statistics & AI for medical imaging. Modelling clinical patient outcomes from MRI imaging.


CTO (Co-founder)

PhD in AI for Cancer Diagnosis and Care. Using Graph Neural Networks to identify gastric cancer patients benefitting from chemotherapy.

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