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About
EverMe's stated purpose is to make "independent, highest quality health information available directly to consumers, patients, and professionals, free from pharmaceutical influence, commercial bias and institutional agenda." The app takes in three kinds of personal data — uploaded blood work and lab reports, a 30-second face scan that reads cardiovascular, metabolic and respiratory biomarkers with no wearable required, and synced data from an Apple Watch, Oura or Whoop — and turns each into plain-language interpretation and a next step.
Underneath is what the company calls EverMe AI, an agent network that maps top global experts on a topic using citation metrics, funding, institutional standing and recency; loads roughly thirty high-signal research papers per expert into a retrieval pipeline; and generates structured summaries filtered for safety, efficacy, consensus and recency. Output is reviewed by a steering committee of clinicians and researchers before it is published in the app.
EverMe sells in four tiers — free, pro, an expert tier aimed at practitioners and clinicians, and an enterprise tier that exposes its knowledge and reasoning as APIs other health platforms can embed.
Gary LeBlanc co-founded EverMe and is its president. He took the TechTO HealthTO stage in 2019 for a different company, the wellness venture Ikkuma, and separately co-founded the beverage brand Zero dB.
Backers
No funding round is announced anywhere on everme.ai, and none was found elsewhere.
Quick answers
What does EverMe do?
It reads your own health data — uploaded lab work, a 30-second face scan, and synced wearables — and explains what the numbers mean, answering questions from vetted expert research rather than marketing claims. Free, pro, expert and enterprise tiers are offered.
Who founded EverMe?
Gary LeBlanc, who is president and co-founder, and Anthony Lacavera, the Globalive founder, who is the other co-founder. Both are quoted on the company's own site explaining why they built it.
How does EverMe decide what to tell you?
Its agent network identifies leading researchers on a topic by citation metrics, funding, institutional standing and recency, loads about thirty papers per expert, then filters output for safety, efficacy, consensus and recency. A steering committee of clinicians and researchers signs off before publication.