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ieso is the first company in the world to explore therapy language through machine learning. We work to translate this into digital therapeutics that make precision treatment and assessment accessible anywhere.
Our mission is to transform global mental health by unlocking the power of clinical data. We’re revolutionising the way the world understands and treats mental health. We aim to make mental healthcare accessible to all by creating digital assessment and therapeutic tools for mental health conditions.
Just like physical healthcare, insights into mental health can be drawn from big data. At ieso we’re changing the future of mental health by unlocking the power of clinical data.
Dr Andy Blackwell is the Group Chief Science and Strategy Officer at ieso. Watch Andy’s talk at TEDxNatick on “Artificial Intelligence Meets Mental Health Therapy” in which he shares our vision for mental health transformation and how we are using AI to improve recovery results for tens of thousands of patients.
A one-size-fits-all approach is not effective in meeting individual needs. We need tailored care to drive up recovery rates and reduce relapse.
There are not enough therapists in the world to meet care needs. We need to radically scale-up care - using automation and augmentation to make clinical resources go much further - and making care affordable around the globe.
Current interventions are delivered too late. We need to predict and, where possible, prevent mental ill-health to result in better outcomes.
Director of Clinical Science
Director of Mental Health Sciences
Director of AI Research
Senior Scientist
Group Chief Science & Strategy Officer
Chief Artificial Intelligence Officer
EVP for Impact
ieso’s research has been published in key journals over the last ten years, adding crucial knowledge to our understanding of effective mental healthcare. For updates on when we publish new research papers, blogs and other resources sign up to our newsletter.
ieso commissioned this research study, using a deep learning approach, to understand the relationship between patient language and outcomes in internet-enabled cognitive behavioural therapy.
ieso uses a data-driven approach to define fluid depressive states and explore how patients transition between these states in response to cognitive behavioural therapy (CBT).
ieso uses therapy transcripts derived from internet enabled cognitive behavioural therapy (CBT) treatment sessions to understand how therapist variables are associated with clinical outcomes in IAPT
ieso piloted a comparative study of therapy sessions following the interaction of 10 participants with human therapists versus a chatbot to recommend ways of overcoming the drawbacks of chatbots
ieso introduces and demonstrates the usefulness of a tool that automatically annotates therapist utterances in real-time according to the therapeutic role
In this study, ieso adopts a deep learning model to automatically categorize therapist utterances from approximately 90 000 hours of internet-enabled cognitive behavior therapy (CBT).
This study, commissioned by ieso, investigates the demographic and clinical predictors of response to one-to-one CBT delivered via the internet
In this multicentre, randomised controlled trial, ieso investigates the effectiveness of CBT delivered online in real time by a therapist for patients with depression in primary care
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UK innovator closes Series B financing to develop AI-enabled, evidence-based digital therapeutics built on the world's largest mental health treatment data set.