


1. Technical Partner: Skilled in embedded systems, 3D modelling or electronics to help refine the hardware prototype. 2. Business Development Partner: Someone who can help with business strategy, market validation, and sales outreach to position the product in the health-tech space and attract sponsors/investors.
VigilHart
Caring for a loved one after a stroke or heart condition is a constant source of worry. What if they stop breathing in their sleep? What if their heart slows down too much while you’re in another room, in the garden, or in the shower? Many caregivers live with the fear of not being there at the right moment, of waking up too late, of walking in too late. Existing health monitoring devices promise peace of mind, but they often come with a major problem: They assume all caregivers are tech-savvy. Many systems are designed for those comfortable with mobile apps, smartwatches, and internet-based dashboards. But for an elderly spouse who just wants to know if their partner is okay, these tools can be confusing, frustrating, and even inaccessible when every second counts. Caregivers don’t just need information; they need it instantly, privately, and in the simplest way possible.
We want to equip caregivers with something that just works when it matters most. That’s why we’re creating a two-device system designed for ease of use, even for those who don't consider themselves tech-savvy. 1. A wearable device for the patient, tracking heart rate and detecting sudden drops or spikes. 2. A caregiver device that displays real-time vitals and sends an alert if something is wrong. There are no complicated apps or overwhelming dashboards. Just a clear, direct way to know when your loved one needs you- instant awareness, delivered directly and privately. But beneath the surface, VigilHart is powered by sophisticated technology. While the interface is “zero-tech” by design, the system runs high-fidelity monitoring and secure, local data handling. And in the background? The potential for more. With user consent, we aim to responsibly collect and learn from anonymized patterns, eventually building toward predictive modeling. This means the system could one day warn caregivers before something goes wrong, not just after. We see this as part of a larger shift in healthcare: from hospitals to homes, from reactive to proactive care. Our goal is to offer peace of mind now and predictive care later without sacrificing dignity, control, or simplicity.
We’re building a zero-friction health monitoring system that empowers caregivers in real time, while gently evolving to offer more personalized support as it learns.