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.
The calibration mechanism
A second AI whose only job is to catch the first one overstating.
High-quality answers don’t come from one confident pass. Indaga runs a multi-agent loop, and the adversarial reviewer is the surprising, load-bearing part.
- 01
Drafter
Writes the first interpretation from your data and the evidence.
- 02
Adversarial reviewer
A second pass whose only job is to attack the first — hunting overstated risk and false precision.
- 03
Reconciler
Integrates what survives into a calibrated answer, with its citations and its caveats intact.
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.
Be first in line.
Indaga is in active development. Join the waitlist for early access and occasional, substance-only updates.