AI-Powered Elderly Emergency Assistance
Our startup, SiLm, harnesses artificial intelligence to deliver instant, reliable emergency assistance for the elderly, specifically aiming to reduce incidents related to Alzheimer's and falls. Employing unique predictive algorithms, we not only anticipate but swiftly respond to emergencies, offering a superior alternative to conventional emergency response mechanisms. This innovation seeks to minimize fatalities, whilst alleviating pressure on healthcare systems.
To reduce deaths and the burden on the healthcare system while giving families a sense of security that their loved ones are safe
consumers, companies and local governments
Our product hopes to reduce deaths related to falls. We aim to detect early signs of medical emergencies, which will help reduce medical costs. And we also hope to give families a sense of safety so that they can go back to work instead of guarding their family members
The actuality of the problem is confirmed by growing elderly population, escalating healthcare costs and an increased incidence of Alzheimer's.
Our innovative solution is an AI-powered technology that detects early signs of medical emergencies in the elderly, reducing fall-related fatalities and associated medical costs. Our product also provides peace of mind to families, thereby enabling them to focus on their work without worrying about their
Our startup, SiLm, uses AI to ensure swift and reliable emergency response for the elderly. We focus on predicting and counteracting dangers related to Alzheimer's disease and falls with our unique predictive algorithms. By offering a more effective response system than conventional methods, we aim to reduce fatalities and relieve healthcare systems. Our mission aligns with this idea: lowering mortality rates while providing comfort for families knowing their loved ones are safe. Our customers range from consumers to corporations and local governments who champion elder care provisions
Our solution leverages advanced machine learning algorithms for predictive analysis, IoT for real-time data collection, and cloud computing for secure, accessible data storage and processing.
Our system intelligently collects real-time data, predicts hazards via AI, resulting in quicker help & less physical monitoring of loved ones.
We estimate the market size for which our solution is designed in monetary terms as follows
Is our goal in the next 3 years
As the founder and Chief Medical Officer, my key role is to steer our strategic direction and oversee all medical aspects of our startup.
Currently, I am a solo founder exploring potential talents for co-founders. In future, I envision having key roles filled in areas like tech development and marketing.
Potential competitors for our business could be large healthcare technology firms such as Philips Lifeline, Life Alert, MobileHelp, and Bay Alarm Medical. Tech companies like Google and Apple who are venturing into health tech might also pose a competition.
Current services are mainly based on physical wearables and the elderly's ability to call for help, our product uses AI technology to detect falls and other potential risks autonomously. This is especially useful in cases where the elderly are unable to recognize or communicate their need for assistance. This gives us a distinctive advantage, providing a more comprehensive and reliable solution.
We operate on a subscription-based model, where clients pay a monthly fee to access our service. They pay for an extra safety net and peace of mind
Over the last month, we've honed our concept, spotlighting key production development areas to accelerate our progress and deliver an effective solution.
Our product is already serving a steadily expanding clientele, effectively demonstrating its robust practicality and growing market acceptance.
Even in its conceptual stage, our startup is built around carefully selected metrics. These parameters will guide product development and customer engagement strategies, ensuring we consistently meet user needs while driving growth effectively.
Our company incorporated in
Estoniia
Main risks include technological malfunctions, potential resistance from elderly users due to unfamiliarity with the technology, securing meaningful partnerships for distribution and data privacy concerns.
$
2500
We raised investments
i dont have investors yet
$
200000
Currently, we are raising investments
$
Estimated pre-investment valuation of the company