Care-home operators
A clearer view of how each resident’s activity and sleep move over time, to support everyday observation between clinic visits. We are looking for operators to shape the workflow with us through a structured pilot.
Populations are ageing. Measurement is getting easier.
Growing older populations, increasingly accessible continuous measurements and advances in AI create an opportunity to investigate proactive health intelligence.
2025
2050
Care sees older adults in moments. Health changes in between.
Clinical assessments provide valuable insights, but they often capture health at isolated moments in time. Between visits, gradual changes in an individual’s health may be difficult to quantify, interpret or recognise.
Frontera aims to bridge this gap by transforming longitudinal health data into meaningful insights to support a more proactive and preventive care development.
Clinic visit
Next visit
Next visit
Weeks to months
Weeks to months
Many sources. One integrated understanding of health.
Frontera brings diverse health data together within a unified intelligence framework, designed to build a more comprehensive and personalised understanding of health over time.
Multisource health data
- Wearables
- Clinical
- Behavioural
- Laboratory
Frontera health data intelligence
- IngestCollect data from each source into one place.
- HarmoniseAlign devices and formats so signals can be compared.
- Quality controlCheck coverage and keep gaps visible before scoring.
- ModelBuild baselines, trajectories and research models.
Longitudinal intelligence
- BaselinesEach person's usual pattern
- TrajectoriesHow measures move over time
- Research modelsA future step, developed with partners
Frontera platform is intended to be sensor-agnostic. Research-grade devices power our pilot data; lower-cost consumer sensors can extend it at scale.
- Baseline
- A person's own usual pattern, used as the reference for change.
- Trajectory
- How a measure moves over weeks and months in the same person.
- Longitudinal
- Followed over time, in the same individual.
- Sensor-agnostic
- Not tied to one device or brand of sensor.
From health data to meaningful insights
Explore Frontera’s working research prototype, demonstrating how longitudinal wearable data can be transformed into interpretable health metrics, personalised scores and interactive visualisations.
Prototype demonstration
A daily Vitality Score from physical activity and sleep behaviour, designed for adults aged 65 and over. Scores use the prototype's 0–120 scale and show how much data each one had.
Pseudonymised participants and exploratory data. Observational views, not a diagnosis.
Built on published evidence. Explainable at every step.
Our scoring framework translates what is known about healthy ageing into personalised, explainable measures.
Evidence
Collective health intelligence: guidelines and clinical literature on healthy ageing.
Mapping
Health dimensions linked to the signals that can be measured.
Scoring
Interpretable daily and rolling scores, personal to each individual.
Learning
Longitudinal health patterns, studied over time.
Who Frontera is for
Frontera is designed around older adults and the people who care for them.
Families and authorised carers
A future audience. Frontera aims to make everyday patterns in activity and sleep easier to understand, shared with the person’s agreement and under appropriate governance. These are observations of health habits. They do not diagnose or replace clinical advice.
- Their own baselineEach person is compared with their own usual pattern over time.
- ExplainableEach score can be traced back to the measures behind it.
- Gaps stay visibleMissing data is shown as missing. It is never filled in or counted as zero.
Who we want to work with
We’re looking for partners to help move Frontera from prototype to validated real-world evidence.
Pilot sites
Elderly-care and care-home providers willing to run a structured longitudinal pilot.
Discuss a pilotWearable and IoT partners
Manufacturers with reliable sensors, data access and an interest in co-developing for older-adult monitoring.
Discuss sensorsResearch validators
Healthy-ageing, care-home and real-world evidence researchers to link signals with meaningful outcomes.
Discuss researchStrategic investors
Investors and industry partners who understand the healthy-ageing field.
Discuss investment
The team
Founder-led, with clinical, behavioural science and infrastructure collaborators.
Kevin M. Gamboa
Founder & CTO
London, UK
Data and AI engineer, with experience in clinical wearable studies and health scoring.
Anthony Ajose
Clinical & Commercial
Geneva, Switzerland
MPH and MBA, with experience spanning clinical practice, health policy and the life sciences sector. Data science engineer lead, Biomedical engineer and MSc in AI. Experience in developing digital biomarkers, health-related quality of life analytics, and multi-modal health sensor platforms.
Sharon Sanchez
Data & Behavioural Science
Paris, France
Data scientist and behavioural researcher with experience in machine learning product development and doctoral research in motivation and mental health.
Book a demo
Tell us about your organisation and what you’d like to explore. We’ll reply by email to arrange a time.
In a demo we can cover
- A walkthrough of the early prototype
- How a pilot or partnership could work with you
- Where we are today, and what we’re looking for