Personal pharmacology lab

Run your stacklike a lab.

Research any supplement, peptide, or longevity compound, grade it on what works and what’s safe, and measure whether it’s actually working for you.

For biohacking, longevity, and serious stacks. Rigor, not hype.

Free to start

Quiet architectural room framing a mountain lake at sunrise

Your context

Graded, never guessed

Two scores per compound: effectiveness for its purpose, and safety. Cited, or it refuses.

Yours, not ours

Encrypted. Member-owned. Export or delete anytime.

Built on real data

Classified user reports, literature, and a knowledge graph.

Platform

One operating system for your whole stack.

From the weekly bench to fully-cited dossiers, every feature turns scattered protocols and bloodwork into grounded, cohort-backed signal.

Decision support, not medical adviceAnimations are simplified; real features are more comprehensive

Why it’s different

Not a chatbot. Not a database. Not a forum.

The capabilities a serious stack demands, and who actually delivers them.

Capability comparison: SelfAssay versus general AI, supplement databases, forums, and your clinician.
CapabilityGeneral AISupplement DBsForumsYour clinicianSelfAssay
Grades effectiveness and safety, per compoundPartialPartialNoNoYes
Real-world outcomes at scale, not just studiesNoNoPartialPartialYes
Reasons over your specific stackPartialNoNoPartialYes
Flags interactions across your whole combinationPartialPartialNoPartialYes
Measures whether it's working for you (n-of-1)NoNoNoPartialYes
Every claim cited, or it refuses when thinNoPartialNoPartialYes
Calibrated confidence, not false certaintyNoPartialNoYesYes
Private, member-owned data (export & delete)NoNoNoPartialYes

Each is good at what it’s for. SelfAssay is the only one built to reason over your whole stack with cited evidence, and refuse when it can’t.

Provenance you can see

Truth is in the provenance.

Real-world reports, peer-reviewed literature and a curated knowledge graph, plus clinical trials, pharmacokinetics, adverse-event and FDA-label signals. Every answer is traceable to its source, with its method and sample size shown.

SelfAssay
Peer-reviewed
studies
114K+
Real-world
reports
181K+
Knowledge graph
relations
186K+
Evidence routed to one answer
SelfAssay
Peer-reviewed
114K+
studies
Real-world
181K+
reports
Knowledge graph
186K+
relations
Biomarkers
Pharmacokinetics
Bioactivity
Adverse events
FDA labels
Clinical trials
181K+
Classified user reports
114K+
Peer-reviewed studies
186K+
Knowledge-graph relations
450+
Compounds graded

How we grade evidence

Rigor you can audit.

Grounding isn’t a tagline; it’s a method. Here’s the standard every answer is held to.

  1. 01

    Triangulated, not single-source

    Every signal is cross-checked across classified real-world cohorts, peer-reviewed literature, and the curated knowledge graph; agreement and conflict are both surfaced.

    You see corroboration, not just citation.
  2. 02

    Every claim carries its receipts

    Source, method and sample size shown inline. No naked assertions. If it’s stated, you can trace where it came from.

    Follow the trail from claim to original data.
  3. 03

    Confidence is calibrated

    Strength of evidence is graded; weak signals are labelled weak. Precision is never overstated to sound more certain than the data allows.

    You get the truth, with its uncertainty.
  4. 04

    “Not enough data” is a valid answer

    When grounding fails, SelfAssay says so plainly, and names what evidence would change the answer. It never fills the gap with a guess.

    Better to be clear about limits than confidently wrong.