Our Blocks are deployed in real world use cases today. They capture and structure clinical events into a shared semantic layer and orchestrate coordinated actions across the systems, teams and data that healthcare depends on.

Every healthcare challenge is unique. But the problem underneath is the same: data moves without meaning, teams can’t see across boundaries, and there’s no foundation for AI to work across workflows at scale. Blocks are the modular infrastructure built to solve it.

Metabolic diseases such as obesity, type 2 diabetes and cardiovascular disease are long-term conditions where risk accumulates over years. Patients move between primary care, specialists and community services, with key signals scattered across different providers. No one sees the full picture. Those gaps in care lead to missed trends and unflagged warning signs. Metabolic conditions progress quietly between appointments, making a holistic, longitudinal view of the patient essential to timely intervention.

Blocks unite primary care, specialists and community teams in a connected, continuous view, enabling care teams to act proactively and prevent deterioration rather than respond to crises.

Obesity affects 26.5% of adults in England and costs the NHS £6 billion a year. Hundreds of referrals arrive every week from GPs and community teams. All in different formats and from different systems with incomplete clinical context. When structured data is not available where it’s needed, services cannot triage effectively or see demand in real time. This infrastructure gap translates directly into delayed care and avoidable costs.

Blocks combine a shared data layer with a unified interface, creating a single point of access for weight management pathways. Referrals arrive structured, teams operate from one worklist and clinician-guided algorithms triage and route patients effectively with no manual handoffs required.

Live in NHS deployment. Meets OPIP funding criteria for digital infrastructure innovation.

The UK’s mental health system is in crisis. More than 1.8 million people are waiting for treatment, with an estimated annual economic cost of £118 billion. Much of this strain stems from fragmented health and social care services, which make coordinated delivery difficult and create long delays in access to care. For someone living with mental illness, there is no “system”, only a maze of disconnected services.

Our Blocks provide the digital infrastructure to unify these services, accelerating entry into care and giving multidisciplinary teams visibility across the entire care journey.

ADHD and Autism services across the UK are under intense pressure. Waiting lists have stretched to extreme lengths, with some patients waiting up to eight years for assessment. With limited end-to-end visibility and no single pathway owner, commissioners and providers cannot see where patients are stuck, where backlogs are building or track outcomes consistently.

Blocks provide a single entry point to the pathway, connecting services so referrals arrive structured and risk-prioritised. Real-time visibility into demand, capacity and bottlenecks helps services reduce wait times, route patients to the right intervention faster and decrease reliance on costly Right to Choose providers.

Live in NHS deployment. Aligns with NHS England’s ADHD Taskforce recommendations and the NHS 10 Year Health Plan to digitise and integrate services.

A typical patient moves through screening and diagnostic pathways across primary care, imaging centres, labs and specialist services. Data is captured at each step, but in fragmented systems that do not communicate, resulting in overdiagnosis and systemic inefficiencies. This same fragmentation prevents the effective deployment of clinical AI tools that could transform accuracy and streamline triage across the pathway.

Blocks turn fragmented screening and diagnostics pathways into a unified system, using AI to prioritise workload, improve uptake and ensure every abnormal result is acted on promptly.

Breast cancer is the most common cancer in women, with 2.3 million new cases diagnosed each year globally. Early detection can greatly improve survival rates, yet 30–35% of eligible women do not undergo routine mammography. This leads to later-stage diagnoses, more aggressive treatment, higher mortality and greater burden on patients and health systems.

Blocks enhance early detection by integrating digital patient onboarding with risk stratification, AI-enabled workload prioritisation and automated appointment scheduling. Through personalised educational content, electronic reminders and seamless coordination with imaging centers, our platform optimises screening adherence and ensures rapid follow-up on abnormal results.