SpotitEarly
At-home breath test for four cancers, screened by trained beagles and verified by a multimodal AI sensor stack — 93.9% sensitivity and 94.3% specificity in a 1,386-participant double-blind trial.
What it is
SpotitEarly is Shlomi Madar's at-home multi-cancer screening test. You breathe into a surgical mask and mail it in; trained detection beagles sniff the sample in an instrumented port while cameras, a microphone, and accelerometer vests capture their behavioral signals, which per-sensor machine learning models convert into a result. The LUCID platform screens for breast, lung, colorectal, and prostate cancer, and reported 93.9% sensitivity and 94.3% specificity in a 1,386-participant double-blind study published in Scientific Reports. It is CLIA registered and commercializing as a laboratory-developed test ahead of a separate FDA approval pursuit.
Who it's for
Health-conscious consumers who want an early cancer screening option less invasive and less expensive than a full-body MRI or Grail's Galleri, and founders building regulated, high-stakes AI who need a model for buying accuracy through redundancy rather than a single confident read.
Why it's better
- •Detection sensitivity from a trained biological sensor operating at parts per trillion, a threshold no electronic nose or mass spectrometry system currently matches.
- •Multiple dogs and repeated sniffs per sample turn one animal's unreliable read into a reproducible, auditable consensus result.
- •Positioned explicitly as a triage layer, not a diagnosis, which keeps it inside the standard of care rather than replacing it.
- •Priced at roughly $500 for the four-cancer panel versus Grail's Galleri at roughly $950, after surveying physicians and patients on price tolerance.
- •CLIA registered and selling today as a lab-developed test, rather than waiting years for FDA approval before reaching patients.
Heard on AI for Founders
SpotitEarly was featured in an episode of the AI for Founders podcast. Hear the full conversation.
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