Built by people who actually take peptides.
We got tired of guessing. Online forums are full of contradictory information and zero accountability. We built Atlas to be the research tool we wished we had — grounded in the published literature, transparent about uncertainty, and strict about interaction flagging.
Why we built this
Peptides shouldn't be guesswork.
Not another chatbot wrapper
Atlas combines structured calculators, a curated reference database, and an interaction-flagging layer — not a thin prompt wrapper.
Show your work
Every unit-conversion includes the underlying math, half-life citations from the literature, and washout timelines — all visible, all sourced.
Interaction flagging
13 hard-coded interaction rules surface conflicts before any suggestion ships. Disclose a condition that conflicts and Atlas flags it.
How Atlas works
Grounded data. Interaction flags. Visible work.
Atlas is an AI research layer built on top of a curated compound reference database. Every answer is grounded in published dose ranges, half-lives, and washout windows from peer-reviewed literature. It enforces 38+ hard-coded interaction rules — if you disclose a condition that conflicts with a compound you're tracking, Atlas flags it.
When Atlas discusses a dose, it shows the unit-conversion math. When it discusses timing, it cites the half-life from the literature. When it flags bloodwork for retest, it pegs the timeline to steady-state calculations. No black boxes. Educational research only; not medical advice — always consult your healthcare provider before starting, stopping, or changing any protocol.
Who's behind it
The team
Faisal
Founder & Product
Former software engineer focused on personal health data and self-quantification. Built Novex after years of manually tracking biometric and lab data in spreadsheets and wishing for a better tool.
Mila
Research & Safety
Background in pharmacology research. Curates Novex's compound reference data and Atlas's interaction-flagging logic.
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