Science
Trustworthy because it shows its work.
This category has a credibility problem because its claims can’t be checked. Ours are built to be.
Reproducible
Built on open-source bioinformatics tools and public, peer-reviewed databases — not a proprietary black box.
Cited
Every claim traces to a named source, and to a specific record in your own Healthlake.
Calibrated
The biggest failure in consumer health-tech is false precision. We use directional, honest language and show the uncertainty.
Cross-validated
High-impact findings must hold up across independent checks before they reach you. We’d rather drop an uncertain finding than alarm you with a false one.
Calibrated, not alarming
The same finding, told two ways.
A typical consumer report
Your risk is HIGH
“3× more sensitive”
The same finding, in Indaga
Modestly above average — about 1.3×, driven by 18 common variants with small individual effects.
Two positions weren’t callable from your chip — noted, not glossed over.
Where you stand
A percentile is a band, not a false-precise number.
Your VO₂max — the most modifiable predictor of how long you stay independent — on directly-measured peer norms (the ACSM FRIEND registry). You’re a position inside a band, not a single decimal; and your trajectory toward the point where everyday tasks get hard is drawn, not asserted — labelled a projection, not a prediction.
The calibration mechanism
Gates that fail the build, not a second opinion from another model.
The usual answer to AI overstatement is more AI — a reviewer model asked to criticise the first one. We went the other way. These checks are deterministic, they run on every release, and they are the reason a finding gets withheld rather than softened. A gate you can read is worth more than a critic you have to trust.
- 01
The envelope
Every answer carries its own evidence grade, and that grade is computed once — at the source. Nothing downstream may re-derive it, round it up, or drop it in transit.
- 02
The zero-data sweep
Before each release, every read is run against a subject the engine knows nothing about. If any of them still says something about that person, the build fails.
- 03
Four different silences
Not measured, still calibrating, gone stale and actually known are four separate answers. Absence never renders as a quiet “you're fine”.
We show the uncertainty because hiding it would be the dishonest thing.
Absence is never “normal.” A test you never took returns “not measured,” not “you’re fine.” That single rule is the reason the product exists.
Indaga is in active development.
We’re building it privacy-first, cited, and honest about what it can and can’t see.
Free: what your file covers and five trait readings (lactose, alcohol flush, caffeine sensitivity, skin and sun, muscle fibre). $69: the full report and the full analysis. No card needed for the free report.