Forecasting Falls, Ensuring Prevention
Predictive Fall aims to develop an innovative wearable leveraging Artificial Intelligence and Machine Learning technology. It will monitor movement patterns of the elderly, anticipate fall risks, and provide proactive alerts. Notifications aren't limited to just individuals but extend to their families and insurance companies creating a safety net system at unprecedented levels of early detection.
Predictive Fall pioneers a future of confidence and grace for the elderly through deep learning and innovative wearable technology
Medical Insurance companies
Your startup could solve several issues. First, it can help to prevent serious injuries among the elderly population by predicting and alerting falls in advance. Second, it could significantly reduce hospitalization and medical costs linked to fall-induced injuries for both individuals and insurance companies alike. It might also provide peace of mind to families who are worried about their aging relatives living independently. Additionally, this innovation can transform health risk predictions with its combination of AI and wearable technology.
The actuality of the problem is confirmed by the fact that 88 seniors die from falls daily, 30% of those above 65 fall annually, and costs soar to $240 billion in injury treatments
Predictive Fall offers a wearable employing AI to proactively predict falls in the elderly, alerting them, kin, and insurers.
Artificial Intelligence, Machine Learning, Predictive Analysis, Wearable Technologies and IoT.
The wearable measures stride (grit), balance, HR, and uses pattern recognition. It pairs with phones via BLE and the cloud, dispatching alerts and insights, refining its accuracy hourly
Our tech saves insurers an average of $30,000 per prevented fall, resulting in fewer claims, satisfied clients, and reduced hospital admissions
We estimate the market size for which our solution is designed in monetary terms as follows
Is our goal in the next 3 years
My key role is as a tech expert co-owner, responsible for turning ideas into products, managing their technical development and deployment.
Bob Pappas, ex-CEO of United Health, leads strategy. Lawyers Tom Blaire & Tim Nicholes ensured solid legal groundwork after extensive research.
While we pioneer predictive fall prevention, competitors primarily focus on post-fall interventions. They offer products like handrails and safety appliances, which are preventive but not predictive. Unlike our AI-driven approach, they don't anticipate falls but rather provide safety after the fact. Our uniqueness lies in our proactive, data-driven solution
Leveraging AI for unparalleled fall prevention, we predict risks before they occur. Our intelligent wearables adapt with each step you take, providing instant alerts. This isn't just improving safety - it's instilling confidence by shifting the focus from prevention to prediction.
We profit from selling wearables, charge a monthly fee for active device usage, and levy fees on insurance companies for access to our webapp dashboard.
In 6 months, we've sharpened our market insights, conducted in-depth tech and industry research, and liaised with hardware firms. Our company structure is now concrete with cashflow forecasts ready for every scenario. We're advancing rapidly with a focused approach.
Before funds run out, the company will be market-operational, securing profitability through device sales. Our active wearables' recurring subscription model will ensure steady income and stability, promoting sustainable growth.
We track prototype iterations, user feedback rounds, sign-ups, content engagement, hardware partnerships, development milestones and insurance partner dashboard feedback.
Our company incorporated in
Delaware
Hardware company delays in development, escalating dev costs. Resistance from elderly users unfamiliar with wearables. Regulatory challenges in the health-tech sector. Dependency on hardware partners' reliability and deliverables. Data privacy concerns and ensuring user trust. Difficulties in market adoption and achieving a critical user base.
$
100000
We raised investments
The 4 Founders, Ronan O Coigligh, Tom Pappas, Tom Blaire, Tim Nicholes, each has 25%
$
2500000
Currently, we are raising investments
$
no idea
Estimated pre-investment valuation of the company
