Longevity and healthspan
Four panels. One direction.
Labs, wearables and records, read across years.
Ojava is a general wellness product. It does not diagnose, prescribe, dose, or replace your clinician.
- Markers favorable
- 9 of 13
- Panels on file
- 4
Bloodwork
Apolipoprotein B118mg/dLWatchWas 131 in March, down 13Every marker in plain language, with the band it sits in and the direction it has moved across your own previous panels.
Biological age
Estimated from your own panel, published method, 42 lived.
A published estimate computed from your own results, shown next to the years you have actually lived, with the inputs it used listed underneath.
Direction, not dots
- Apolipoprotein B
- Watch
- HbA1c
- Favorable
- Non HDL cholesterol
- Watch
One result is a dot. Four results across eighteen months are a direction, and the direction is the part worth taking to an appointment.
ONE RECORD
Everything you have,read together for once
A lab PDF in an email, an old visit summary in a portal, months of nights on a watch, and the food that sits underneath all of it. Ojava sorts each by type, collapses the duplicates, and keeps them in one record you own.
Example screen, with illustrative values.
- 13
- Marker scorecards computed in code, each with a band and a trend.
- 18 months
- Of history on the chart below, from four panels you already had drawn.
- $0
- To start, on the free plan, with unlimited educational chat.
HOW IT WORKS
Four steps,then it is quiet
Setup is a file and a permission, not a project. After that the work is invisible: things arrive, get read, wait for you to accept them, and become numbers you can ask about in a sentence.
Bring in what you already have
Drop a lab PDF, a records file, an Apple Health export or a wearable file. The type is detected from the file itself, and each type has its own parser rather than one hopeful reader for everything.
- XML
- ZIP
Detected by type, then read on its own terms.
Read it, then wait for you
Values are checked back against the source text and duplicates from overlapping devices are collapsed. The result then sits in review: nothing joins your record until you accept it, and anything wrong can be corrected by hand first.
- Apolipoprotein B, 118 mg/dL
- Watch
- HbA1c, 5.4%
- Favorable
- Non HDL cholesterol, 141 mg/dL
- Watch
The numbers are computed, then described
Every band, ratio and estimate is derived in code, the same way each time, from published reference ranges. The coach reads those finished values and puts them in plain language. It never redoes the arithmetic.
- Triglyceride to HDL ratio
- 1.9
- Non HDL cholesterol
- 141 mg/dL
- Estimated biological age
- 38
Then watch the direction
Each new panel lands beside the last one rather than replacing it, so what you carry into an appointment is a line rather than a single number pulled out of context.
- 14 July 2026
Lipid panel, 9 markers
Parsed from a PDF, accepted by you
- 7 March 2026
Metabolic panel, 12 markers
The panel this trend is measured against
- 14 July 2026
Every step is reversible. Export everything, or delete it, at any point.
MARKER BY MARKER
See the band,and the direction
Upload a lab PDF or import a records file and each marker comes back with what it is, where this result sits, and how it has moved across your previous panels. The words are deliberately plain: favorable, watch, higher. Never a verdict on you.
Also in this panel
Bands are educational context drawn from published reference ranges. They describe the result, not you, and they are not a diagnosis. Take the numbers and the direction to your own clinician.
WHAT IT BRINGS TOGETHER
Four sources,and one clear edge
- 01
Labs, from PDFs and records files
Apolipoprotein B118mg/dLWatchWas 131Markers extracted, checked back against the source text, and placed against published reference ranges with your previous panels beside them.
- 02
Wearables, from the phone or an export
- Nights on file
- 14 months
- Seven night average
- 7h 12m
- Duplicates collapsed
- on import
Native reads on iPhone and Android, plus Apple Health exports and wearable files. Duplicates from overlapping devices are collapsed on the way in.
- 03
Records, from your own files
- 19 April 2026
Visit summary
Records file, read without a DTD, stored as your own
- 2 June 2026
Apple Health export
14 months of nights, de-duplicated on import
Visit summaries and history parsed by type and held for your review. Sensitive record names never leave the account without you saying so.
- 19 April 2026
- 04
Food, from a photo or a sentence
- Protein
- 82 / 140 g
- Days logged
- 82 of 84
The everyday layer under the panels: what you actually ate, kept on the same timeline so a change in habit sits beside a change in a marker.
Where the line is
Ojava is a general wellness product. It reads your own data, explains what a marker generally means, shows how yours has moved, and helps you write down questions before an appointment. That boundary is not a limitation we are working around. It is the design, and it is the reason the product can be honest about what it knows.
What it never does
- Name a condition, or tell you what you have
- Prescribe, dose, or change a medication
- Order a test, or read one as safe or unsafe for you
- Suggest you delay or skip seeing a clinician
QUESTIONS
The awkward ones,answered first
A health product that will not diagnose you needs to be clear about what it does instead. These are the questions that decide whether it is worth your time.
Is this medical advice?
No. Ojava is a general wellness product. It explains what a marker generally measures, shows how yours has moved, organizes your records, and helps you write down questions before an appointment. It does not diagnose, prescribe, dose, treat, or order tests, and no plan changes that.
What do favorable, watch and higher actually mean?
They are educational context drawn from published reference ranges, and they describe the result rather than you. We deliberately avoid the words normal and abnormal, because those read as a verdict on a person. A marker in the watch band is a number worth raising at your next appointment, nothing more.
Where does the biological age estimate come from?
From a published method computed on your own panel, using the markers it asks for and no others. The inputs it used are listed with the number, the years you have actually lived sit beside it, and it is an estimate rather than a measurement of anything in your body.
What if it reads a lab PDF wrong?
Every extracted value is checked back against the source text, and the panel then sits in review rather than joining your record. You see each marker with the value it read, you can correct any of them by hand, and nothing is counted in a trend until you accept it.
Do I need a wearable for this to be useful?
No. Labs and records work on their own, and the free plan runs without any device at all. A wearable adds the sleep and recovery lanes, which is what puts a run of short nights beside a change in a marker on the same timeline.
Does the coach make numbers up?
It is not allowed to. Every figure it quotes was computed in code first: your bands, your ratios, your estimates, your trends. The model reads those finished values and puts them into words. Where a value is missing it says so rather than estimating around the gap.
Where does my data go?
It stays in your own account, readable only by you. Records are never used to train a model. Meal photographs are the single exception, used to improve food recognition, and that exception is stated in the privacy policy rather than buried in it. There is no ad tracking anywhere in the product.
Will you ever add doctors?
No. Ojava will not supply clinicians, prescriptions, lab orders or visits, now or later. That is a decision about what the product is, not a feature waiting for a launch date, and it is why the product can be straight with you about the difference between reading your data and treating you.
Scientific references for this page
The papers, guidelines and official sources behind the recovery, readiness, training-load, sleep and marker concepts on this page. Ojava uses them for wellness education, never for diagnosis or medical clearance.
- A New Aging Measure Captures Morbidity and Mortality Risk Across Diverse Subpopulations From NHANES IVLiu, Kuo, Horvath, Crimmins, Ferrucci, and Levine, 2018. Supports clinical-chemistry Phenotypic Age equation and cohort validation context. Ojava calculates only when the nine required markers and chronological age are available.
- An Epigenetic Biomarker of Aging for Lifespan and HealthspanLevine, Lu, Quach, et al., 2018. Supports the scientific lineage of PhenoAge and DNAm PhenoAge. Ojava distinguishes readiness from methylation-clock testing.
- Biological aging and generational shifts in early-onset cancer riskCao, Zhang, Wang, et al., 2026. Supports association-level education that PhenoAge-defined age gap was linked with early-onset solid cancer risk in large cohorts. Ojava does not calculate cancer risk, screening eligibility, diagnosis, or prevention treatment.
- 2026 ACC/AHA/Multisociety Guideline on the Management of DyslipidemiaBlumenthal, Morris, Gaudino, et al., 2026. Current guideline support for lipid context and non-HDL cholesterol. The public tool only computes arithmetic ratios and non-HDL cholesterol from user-entered values.
- How to Understand Your Lab ResultsMedlinePlus, U.S. National Library of Medicine, 2025. Supports reference-range education and the need to interpret lab results with personal context and a clinician. It does not support personal diagnosis or treatment targets.
- Laboratory TestsMedlinePlus, U.S. National Library of Medicine, 2025. Supports lab-prep reminders that food, medicines, instructions, and timing can affect results. It does not support ordering tests or changing medicines.
- Heart Rate Variability: Standards of Measurement, Physiological Interpretation and Clinical UseTask Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, 1996. Supports HRV as autonomic-recovery context and standard measurement terminology. Ojava uses HRV as a wellness trend input, not as a diagnostic marker.
- The Training-Injury Prevention Paradox: Should Athletes be Training Smarter and Harder?Gabbett, 2016. Supports comparing recent training load with longer baseline load when discussing strain. Ojava uses this as fitness context, not injury prediction or medical clearance.
- A New Approach to Monitoring Exercise TrainingFoster et al., Journal of Strength and Conditioning Research, 2001. Supports the session-RPE method (perceived effort times duration) for quantifying training load from logged workouts. Ojava uses it as fitness education and trend context, never injury prediction, exercise clearance, or a training prescription.
- Association of Cardiorespiratory Fitness With Long-term Mortality Among Adults Undergoing Exercise Treadmill TestingMandsager, Harb, Cremer, Phelan, Nissen, and Jaber, 2018. Supports cardiorespiratory fitness as an important long-term health marker. Ojava uses VO2max and fitness age for wellness trend context, not personal risk prediction.
- A Simple Nonexercise Model of Cardiorespiratory Fitness Predicts Long-term MortalityNes, Vatten, Nauman, Janszky, and Wisloff, 2014. Supports estimating cardiorespiratory fitness from nonexercise inputs as population research context. Ojava treats fitness age as a directional wellness estimate.
- Determinants of pulse wave velocity in healthy people and in the presence of cardiovascular risk factors: establishing normal and reference valuesReference Values for Arterial Stiffness' Collaboration, 2010. Establishes reference and normal values for carotid-femoral pulse wave velocity in a large European dataset. Ojava uses it to explain PWV provenance only, not to diagnose arterial disease or assign personal risk.
- Aortic pulse wave velocity improves cardiovascular event prediction: an individual participant meta-analysis of prospective observational data from 17,635 subjectsBen-Shlomo, Spears, Boustred, et al., 2014. Supports association-level context that aortic pulse wave velocity relates to cardiovascular outcomes in cohort data. Ojava does not calculate event risk, reclassify risk, recommend treatment, or monitor cardiovascular disease from PWV.
- Recommended Amount of Sleep for a Healthy AdultAmerican Academy of Sleep Medicine and Sleep Research Society, 2015. Supports adult sleep-duration education. The tool does not diagnose sleep disorders or validate a specific wearable score.
- Irregular Sleep/Wake Patterns Are Associated With Poorer Academic Performance and Delayed Circadian and Sleep/Wake TimingPhillips, Clerx, O'Brien, et al., 2017. Supports sleep regularity and timing as meaningful wellness context. It does not validate a proprietary wearable score.
- Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart RateFuller, Colwell, Low, et al., 2020. Supports treating consumer wearable data as useful trend context with device and metric limitations. It does not validate wearable data as a standalone medical finding.
- Sleep Health: Can We Define It? Does It Matter?Buysse, 2014. Supports sleep health as a multidimensional pattern, including duration, timing, efficiency, satisfaction, and alertness. It does not validate Ojava score bands.
Start with one panel.
One lab PDF, one export, or one visit summary. The picture gets more useful with each thing you add, and the first one costs nothing.
- Free plan, no card
- Export or delete any time
- iPhone, Android and web
Nothing joins your record until you have seen it and accepted it.
Ojava is a general wellness product, not a medical provider, and not a substitute for one. It does not diagnose, prescribe, dose, treat, or order tests. If something concerns you, speak to a clinician. In an emergency, call your local emergency number.