Standardised
Decomposed
Context labeling
Ready for AI training
Demand for AI trainable health data has never been greater and currently is the biggest success differentiator.
We are building first of it's kind universal database & infrastructure to leverage large scale trainable data to enable advanced ML & Agents in Healthcare.
Standardised
Decomposed
Context labeling
Ready for AI training
Standardised
Decomposed
Context labeling
Ready for AI training
Opportunities
Early-stage health risk detection
Longitudinal bio data enables AI to detect cardiovascular disease, pre-diabetes, cancer, and other conditions at their earliest stages, when they are easiest to treat and outcomes are best.
Treatment personalisation
Population-average treatment protocols miss the individual. Longitudinal data trains AI that adapts drugs, supplements, therapies, and behaviours to each person's specific biology.
LLM & agents ultrapersonalisation
Health LLMs today reason from generic medical knowledge. Atempora gives them a biological context layer, enabling AI that reasons about your body, not the average one.
Benchmark models against real-world data, detect new feature correlations, compare to industry standards.
Testing & Tuning
Train on standardised raw, computed, and contextual data across large, diverse population samples.
Training of ML models
Fine-tune language models on multi-modal biodata and improve bio-contextual reasoning of agents.
LLM & Agents
Next generation AI models will require continuous, multi-modal data to ensure their adequately detect risks and personalize UX in real time. Wearable data combined with contextual reasoning and other data (e.g. blood) perfectly fits the requirement.
Wearable oriented
data to improve
AI reasoning.
Wearable oriented
data to improve
AI reasoning.
A 10,000 population cohort multi-input study can cost anywhere between $2.2 - $6.5 million and take 2 -4 years.
Atempora enables equivalent AI training available instantly and at a fraction of a cost.
Meet our team
Artur Lebedynskyi (CEO, Founder)
A decade shaping AI and data strategy in health tech, from wearables to medical diagnostics.
Matt Breakwell (COO, IR)
Three decades of experience scaling early-stage businesses, investment funds, and tech companies.
Dr. Lydia Roos, PhD (Scientific Advisor)
Health psychologist and stress scientist with deep expertise in wearables and clinical validation.
Jelena Keatley (CMO)
Marketing leader specialising in brand growth, user acquisition, and product-market fit.
Dr. Carolina Estevao, PhD (Head of Research)
Neuroscientist with a strong track record of leading large-scale research projects and securing non-dilutive funding.
Dimitrios Pappaioannou (Partnerships)
Two decades in clinical validation and partnerships, with a record of driving international expansion for medical technology firms.
Andra Nicola (BD advisor)
Growth and fundraising leader who has raised over $300M across pioneering Web3 and data ventures.
Oleksandra Dushka (Creative Director)
Creative lead specialising in brand design and storytelling that helps consumer brands stand out.
Get more rewards
out of data that is just sitting in your wearable.
We are building an ecosystem to allow you to safely contribute your data to make an impact while getting rewarded in return.
Get rewarded
for every contribution
Earn points that later will convert into crypto tied to database demand & its growth.
Perks
and promotions
Promotions on supplements, lab tests, devices, interventions, and longevity treatments.
For Contributors
Know the impact you are making
See what health innovations and risk preventions you have helped to achieve.
Unique longitudinal health summary
Deeply personalised longitudinal reports that assess your biodata based on your unique physiology.