Mirror Your Body in Data
One standard, every source, one complete picture of you — building a lasting record to understand where your health is going. This is Mirobody.
The standard reference for human health data
Every number your body produces, in one language.
Bring lab reports, wearable readings and everyday health data into one picture. Mirobody puts names and units into a shared language, so your records can be compared over time. In Theta Health, explore those changes, ask questions and discover what advanced health indicators reveal.
The problem
Your health speaks in a hundred dialects.
Every lab, device, and app names things its own way, in its own units, against its own reference ranges. The same measurement arrives as five different records — so no system, and no person, ever holds a single source of truth about one body.
One measurement · five spellings
The moat
Anyone can build a health app. The hard part is the map underneath.
We didn't crowdsource a vocabulary — we distilled one. Starting from the major North American terminologies, our clinical team hand-annotated and reconciled the raw corpus into a set that actually describes a human body: every common lab, exam, and vital, plus the lifestyle signals wearables generate.
Wider than any consumer health platform
Distinct health data types exposedApproximate counts, linear scale. Apple Health ≈ 190 HealthKit sample types (120 quantitative + 70 category, iOS 26); Google Health Connect ≈ 40 record types across 7 categories. The point is the order of magnitude, not the decimal.
AI Map
Once the standard exists, the reconciling is automatic.
Bring your data to Mirobody — a lab PDF, an EHR export, a wearable feed, or a number recorded in chat. AI Map resolves each reading to its indicator, name and unit. In Theta Health, confirm or correct uncertain matches. It remembers your choices, making the next import easier.
Different sources, one standard
AI Map matches readings to standardized indicators and converts compatible units, so lab results, device readings and everyday records can be compared together.
You have the final say
Confirm or correct ambiguous matches in Theta Health. Your choices are recorded, and confirmed mappings can be reused on later imports, keeping your record consistent.
Turn your record into answers
Ask about your health history and compare changes across dates and sources. Follow cited readings back to the original reports to check what an answer is based on.
For developers, the open-source edition brings reports, wearable data and genetic files into a standardized record on your own infrastructure, with source tracing and MCP access for your AI agent. Explore the open-source edition →
One glucose reading, three ways
Unit normalization
Same reading. One unit.
Standardizing the name isn't enough — the units have to agree too. Every value is converted into one canonical unit, so mmol/L and mg/dL stop being two different numbers. Only then do trends, comparisons, and thresholds actually line up.
Standardized records · illustrative examples
| std_id | Canonical name | Unit | System | Kind |
|---|---|---|---|---|
| ldl_cholesterol | LDL Cholesterol | mg/dL | lipid | lab |
| hemoglobin_a1c | Hemoglobin A1c | % | glycemic | lab |
| resting_heart_rate | Resting Heart Rate | bpm | cardiovascular | lifestyle |
| respiratory_rate | Respiratory Rate | breaths/min | respiratory | lifestyle |
| sleep_efficiency | Sleep Efficiency | % | lifestyle | lifestyle |
| phenotypic_age | Phenotypic Age | years | derived | derived |
Human deep data
Standardize enough of your data, for long enough, and something new appears: a complete, continuous account of one human body. We call it your Mirobody.
The health equivalent of a company's financial statements — not a snapshot from a single visit, but a longitudinal ledger deep enough to reason about, and in time, to forecast from. This is the asset that compounds the longer you hold it.
Depth of record · over time
One body, accumulating toward a model of itself.
Advanced indicators · Peraxis Lab × Theta
Beyond measurements, toward biological meaning.
Peraxis Lab and Theta are building a new layer of health intelligence at the intersection of AI, biomedical science, and longitudinal human data.
We transform standardized health records into higher-order indicators designed to reveal patterns that individual measurements cannot capture alone — including Phenotypic Age, Fracture Risk, Sleep Score, and Stress Score.
Phenotypic Age
A blood-derived estimate of how old your body is functioning — your biology's age, not your birthday's.
Fracture Risk
Five- and ten-year fracture probability, derived from bone density and clinical inputs for older adults.
Sleep Score
Duration, continuity, and overnight recovery signals resolved into one measure of how well your body restores.
Stress Score
Autonomic load read from heart-rate variability and related signals — the strain your body is carrying.
More signals are coming.
New indicators across aging, metabolic health, cardiovascular function, recovery, and resilience. The research is ongoing — new indicators will continue to emerge as the science advances.
Readouts shown are illustrative. Advanced indicators are decision-support tools — not a diagnosis or a substitute for clinical care.
These advanced indicators are available in Theta Health ↗. Theta Health's app and web offer advanced indicators and broader standardization through internal, closed-source Mirobody capabilities, beyond the open-source edition.