Trust & Compliance
Built for secure, compliant UK primary care
Veyas-AI is designed to support UK GP practices with safe, privacy-first chronic care automation. Every workflow is built around UK healthcare data standards, clinical safety, and primary care requirements.
Data protection and compliance by design
We operate with strict adherence to UK and international healthcare data protection standards.
- UK GDPR aligned data processing
- GDPR compliant architecture
- Data Protection Act (DPA 2018) aligned design principles
- NHS Data Security Standards (DSPT aligned practices where applicable)
- Patient app built with UK GDPR compliant data handling
All patient data is handled securely and never shared outside authorised clinical workflows.
Secure cloud infrastructure
Veyas-AI is built on modern, secure cloud systems designed for healthcare-grade reliability.
- Hosted on Google Cloud Platform (GCP)
- Encrypted data in transit and at rest
- Role-based access controls
- Audit logging for system activity
Designed for UK primary care workflows
Veyas-AI is built specifically for GP practices and chronic disease management programmes.
- Designed with UK GP advisors
- Aligned with NHS primary care workflows
- Supports QOF-driven chronic disease management
- Built to reduce administrative burden on clinical teams
- Focused on safe escalation, not automated diagnosis
The system supports clinicians — it does not replace clinical judgement.
Built for real-world primary care environments
- Pilot-ready for UK primary care environments
- Tested in healthcare innovation environments and early deployments
- Built for integration into existing GP workflows (no disruption model)
- Focused on measurable outcomes: workload reduction and care gap closure
Built by a healthcare AI team
Veyas AI is developed in partnership with Poonyah Care Ltd, a UK-registered healthcare technology company specialising in remote patient monitoring and AI-driven care systems.
Clinical safety first
- No autonomous diagnosis
- No treatment recommendations
- All high-risk cases escalated to clinicians
- Human-in-the-loop clinical oversight maintained at all times
Built on published clinical evidence
Veyas-AI is grounded in peer-reviewed research and NHS-published data on remote patient monitoring efficacy.
- BMA 2024 Workload Survey: 72.9% of GPs report burnout directly linked to workload — 2,271 patients per FTE GP, up 333 since 2015
- NHS England 2025/26 GP Contract: 564 live QOF indicators at £225.49 per point — up to £127,000 maximum QOF income per practice at full achievement
- RCGP 2024 Patient Safety Report: 76% of GPs say patient safety is already compromised by current workload levels
- NHS Digital 2024 RPM Pilots: 18% reduction in non-elective admissions in NHS remote monitoring pilots across England
- AJMC January 2026: 16.8mmHg average systolic blood pressure reduction in active RPM users with continuous monitoring
- NHS@Home Initiative: 450,000 patients now enrolled in NHS remote monitoring programmes nationally
- NHS Scotland ConnectMe: 400,000 face-to-face appointments saved across 100,000 enrolled patients
- NHS Reference Costs: £2,500 average cost per avoidable hospital admission — proactive monitoring reduces emergency presentations