HULME offers an offline‑first, AI‑assisted triage platform that equips certified health guides with 90‑second risk assessments, enabling safe, intelligent decision‑support even without internet connectivity. The tool is MHRA Class I certified, uses federated learning to preserve patient privacy, and provides real‑time population analytics to flag local health spikes for proactive interventions. By streamlining frontline triage, HULME helps reduce missed concerns and alleviate pressure on overburdened primary‑care services.
Funding
Funding not disclosed
Founders
Product
Problem
Primary care services are overwhelmed, leading to long wait times, rushed appointments, and missed health concerns, especially in underserved or rural communities. This creates delays in diagnosis and treatment, increasing the burden on emergency services and worsening health outcomes.
Solution
HULME equips certified health guides with an offline‑first, AI‑assisted triage tool that delivers a 90‑second preliminary risk assessment while preserving patient privacy through federated learning. The system generates an urgency rating and a safe action plan, helping guides identify high‑risk cases that need immediate clinical attention. Because the software operates without continuous internet connectivity, it can be deployed in community hubs, workplaces, or remote sites. Aggregated, anonymized data feed real‑time analytics that flag local spikes in health concerns, enabling clinics and organizations to launch proactive interventions. The solution meets MHRA Class I medical device standards, ensuring regulatory compliance for frontline triage.
Target Audience
Primary customers are community health centers, workplace health programs, and other frontline service providers that employ certified health guides to deliver initial health assessments.
Features
- Offline‑first architecture allowing triage assessments without internet connectivity
- Federated learning framework that updates AI models locally while keeping patient data on device
- MHRA Class I certified risk assessment algorithm delivering results in under 90 seconds
- Structured questionnaire interface that produces an urgency rating and recommended care pathway
- Real‑time population analytics that detect regional health trend spikes for early warning
- Human‑in‑the‑loop workflow where certified health guides review AI output and guide patients