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CardMedic is an award-winning app and digital platform that empowers healthcare staff to communicate instantly with patients facing language barriers, low health literacy, or sensory impairments. It bridges critical service gaps by providing pre-written clinical dialogues in 50+ languages, sign language, Easy Read, and read-aloud formats, alongside instant access to accredited live interpreters. This reduces delays, errors, and reliance on ad-hoc solutions. Used across NHS Trusts and US health systems, CardMedic enables rapid deployment of digital and in-person language services, improving patient safety, engagement, and outcomes while enhancing efficiency, reducing costs, and streamlining healthcare workflows.

Designed to combat stigma and ease NHS strain, InsideOut, empowers individuals to take control of their mental health 24/7. Using AI-based assessments, InsideOut integrates health data to generate a Whole-Self Wellbeing Score (patent pending). The Wellbeing score is used to guide users to highly-personalised clinical interventions. Users can access 24/7 conversational support from Remi™, AI coach, alongside digital therapeutic courses, including CBT and mindfulness. Courses are delivered by AI Avatars optimising accessibility and affordaiblity. Clinical programmes boost engagement, while optional human therapy ensures a stepped-care model.

Affiniti AI is a personalised mental health co-therapist that patients can access between therapy sessions via WhatsApp. It guides users through evidence-based techniques like thought records and behavioural experiments, helping them manage anxiety, low mood, and everyday stress. Therapists assign exercises and receive clear summaries of patient progress, making it easier to personalise treatment and track outcomes. This project will adapt Affiniti AI for use within NHS mental health services, aiming to improve therapy engagement, reduce symptoms, and extend support beyond traditional sessions—ultimately helping services deliver more effective, scalable care without increasing clinical workload.