Smplicare Company Profile

Background

Overview

Smplicare is a health technology company founded in 2020 and headquartered in Edinburgh, United Kingdom. The company specializes in developing innovative solutions aimed at enhancing elderly healthcare, with a particular focus on fall prevention and promoting independent living among older adults. By leveraging artificial intelligence (AI) and wearable technology, Smplicare seeks to proactively identify health risks and provide personalized interventions to improve the quality of life for seniors.

Mission and Vision

Smplicare's mission is to empower older adults to maintain their independence and well-being by providing accessible, data-driven health monitoring tools. The company's vision is to revolutionize elderly care through technology, reducing the incidence of falls and associated health complications, thereby enhancing the overall quality of life for seniors.

Industry Significance

Falls are a leading cause of injury among older adults, with approximately 30% of individuals over 65 and 50% over 80 experiencing a fall annually. These incidents not only impact physical health but also lead to social isolation, increasing the risk of depression, cognitive decline, and chronic illnesses. By addressing this critical issue, Smplicare plays a pivotal role in the health technology sector, contributing to the development of proactive healthcare solutions that aim to reduce the burden on healthcare systems and improve the lives of older adults.

Key Strategic Focus

Core Objectives

Smplicare's primary objectives include:

• Fall Prevention: Developing AI-driven algorithms to predict and mitigate fall risks among older adults.

• Independent Living: Creating tools that support seniors in maintaining autonomy and quality of life.

• Data-Driven Health Monitoring: Utilizing wearable devices and digital health tools to collect and analyze health data for personalized care.

Areas of Specialization

The company specializes in:

• Predictive Analytics: Employing machine learning to forecast health risks and outcomes.

• Digital Health Solutions: Designing user-friendly applications and platforms for health monitoring.

• Wearable Technology Integration: Incorporating devices like Fitbit and Garmin to gather real-time health data.

Key Technologies Utilized

• Artificial Intelligence (AI): For developing predictive algorithms and personalized coaching.

• Machine Learning: To analyze health data and identify patterns related to fall risks.

• Wearable Devices: Such as Fitbit Inspire 3, used to monitor physical activity and health metrics.

Primary Markets Targeted

Smplicare primarily targets:

• Older Adults: Individuals aged 55 and above, particularly those with a history of falls or concerns about fall risks.

• Healthcare Providers: Organizations seeking to implement fall prevention programs and enhance elderly care.

• Caregivers and Families: Those responsible for the well-being of older adults, looking for tools to support independent living.

Financials and Funding

Funding History

Smplicare has secured multiple funding rounds to support its growth and development:

• August 2025: The company secured over €1.1 million in early-stage funding led by STAC Invest, the investment arm of Scotland’s STAC accelerator. This funding aims to accelerate the delivery of Smplicare's health technology solutions to the market.

• March 2025: Smplicare was recognized in the UKRI Healthy Ageing Challenge, receiving funds to advance its AI-powered fall risk prediction algorithms. This support is intended to adapt everyday wearables for healthy ageing.

• June 2024: The company completed a six-month study involving 300 older adults, achieving an 85.43% accuracy rate in predicting falls through its newly developed algorithm.

• 2023: Smplicare garnered £750,000 in funding to explore AI and wearable technologies in predicting age-related health issues, as part of a UK-wide study involving 300 participants.

Total Funds Raised

Over its funding history, Smplicare has raised a total of approximately $950,000 across five funding rounds.

Notable Investors

• STAC Invest: Led the €1.1 million funding round in August 2025.

• UK Research and Innovation (UKRI): Provided £750,000 in funding in 2023.

Utilization of Capital

The funds have been utilized for:

• Research and Development: Advancing AI algorithms for fall risk prediction.

• Product Development: Enhancing the AgeWell Coaching Platform and integrating wearable technologies.

• Clinical Studies: Conducting trials to validate the effectiveness of fall prevention solutions.

Pipeline Development

Key Pipeline Candidates

Smplicare's primary focus is on developing:

• Fall Risk Prediction Algorithms: AI-driven models designed to assess and predict fall risks among older adults.

• AgeWell Coaching Platform: A digital intervention supporting older adults by reducing isolation, enhancing health, and fostering connected care.

Stages of Development

• Algorithm Development: Ongoing refinement of predictive models based on data from wearable devices.

• Clinical Trials: Conducting studies to validate the accuracy and effectiveness of fall risk prediction algorithms.

• Product Deployment: Rolling out the AgeWell Coaching Platform to users and healthcare providers.

Target Conditions

• Fall Risks: Identifying and mitigating factors that increase the likelihood of falls among older adults.

• Social Isolation: Addressing loneliness and promoting social connectivity to improve mental health.

Anticipated Milestones

• 2025: Completion of validation studies for fall risk prediction algorithms.

• 2026: Wider deployment of the AgeWell Coaching Platform across healthcare settings.

Technological Platform and Innovation

Proprietary Technologies

• Smplicare Fall Risk Algorithm (SFRa): An AI-driven algorithm that predicts and mitigates fall risks with data-driven insights.

Significant Scientific Methods

• Machine Learning Algorithms: Utilized to analyze health data from wearable devices and predict fall risks.

• Personalized Coaching Programs: Tailored health recommendations powered by AI for holistic well-being.

AI-Driven Capabilities

• Real-Time Health Insights: Providing immediate feedback on health metrics to users.

• Predictive Analytics: Forecasting potential health issues based on collected data.

Leadership Team

Key Executives

• Garrett Sprague: CEO & Co-Founder. Garrett has a background in business development and strategy, with a focus on health technology. He is responsible for the company's overall vision and strategic direction.

• Alexandra Melling: Co-Founder. Alexandra has a track record of operationalizing ideas and is focused on execution and product development within the company.

Leadership Changes

As of the latest available information, there have been no significant changes or appointments within Smplicare's leadership team.

Competitor Profile

Market Insights and Dynamics

The market for fall prevention and elderly health technology is growing, driven by an aging global population and increasing awareness of the importance of proactive healthcare. Smplicare operates in a competitive landscape with several key players.

Competitor Analysis

• Silver Lion Innovations: Developed EasyOver, a smart mattress topper designed to assist individuals with limited mobility in turning safely in bed.

• Seluna Ltd: Developing machine learning-enabled software to diagnose and manage childhood sleep apnoea, aiming to automate and streamline the interpretation of sleep studies.

• Vahanomy: Offers a location tool that aims to optimize and select EV charging sites, utilizing AI for site selection.

Strategic Collaborations and Partnerships

• Later Life Training (LLT): Collaborated to integrate LLT’s exercise methodologies into Smplicare’s digital platform, enhancing falls prevention and functional fitness for older adults.