the operating system for human biology.
Peptide biology is the most scientifically consequential and informationally fragmented domain in the life sciences. Over four hundred thousand peptide publications sit in PubMed; thousands of trials are active on ClinicalTrials.gov; tens of thousands of patents live in the USPTO queue. No surface grades this corpus. And none of it connects to the body that is supposed to act on it.
Peptome is a two-layer operating system that closes the gap. The intelligence layer indexes, grades, and grounds the peptide corpus. The execution layer applies that intelligence to one individual at a time. Outcomes loop back as evidence. Grades flow forward as protocol. The architecture is the moat.
fragmentation as the default condition.
The corpus is enormous. The grading is absent. The body is missing.
A clinician searching human evidence for a GLP-1 dual agonist must cross-reference at minimum five data sources, each with a distinct query syntax and none with a consistent evidence-grade output. Vendor claims and peer-reviewed RCTs are weighted equivalently in a general web search. Preprints and meta-analyses co-mingle. The evidence-weighting burden falls entirely on the reader.
build the intelligence layer, not another database.
Four architectural commitments. Each one constrains the surface area of the product and simplifies the reasoning about its economics.
intelligence above, execution below.
Two layers, one evidence graph. Outcomes from below feed the graph above. Intelligence above routes back into personalization below.
every answer cites. every claim grades.
The rubric is algorithmic, versioned, and public. It is the platform's most editorially consequential primitive — the single surface on which Peptome's reputation is staked.
five screens. one operating loop.
Decide. Ask. Commit. Observe. Learn. Nothing in the surface is decorative.
the moat is a circuit, not a wall.
A research API on its own is a content product. A consumer Agent on its own is a wellness app. Together — and only together — they form a circuit in which every individual outcome makes the underlying intelligence more specific.
the token at the core of the ecosystem.
$PEPT powers the Peptome subscription and will share in protocol revenue. Terms to be announced.
directional, not committed.
Specific dates and features are subject to revision. Canonical values live in the platform's live documentation.
Human interface v1.
Search, Card Generator, Protocol Agent, Discovery Lab alpha. Closed cohort.
Institutional onboarding.
Agent-native API to external operators. Medical advisor governance council seated.
Validator network + P-tier opens.
External operators post stake. Outcome-submission endpoint opens. Discovery Lab admits verified researchers.
$PEPT TGE.
Fairlaunch, audits published, governance handoff to on-chain voting. Preconditions in the architecture section must be met first.
Federated graph.
Peptome as a read surface inside third-party clinical research tools, and federated graph integrations with academic consortia.
a reference implementation for the decade ahead.
Scientific information consumption is migrating from human readers to autonomous agents. Evidence grading is becoming infrastructure rather than editorial work. And personal biology is finally structured enough to close the loop between what’s known and what an individual actually does.
Peptome is the reference implementation of that intersection. The platform’s ambition is not to own peptide biology. It is to be the surface peptide biology, in its next phase, is reasoned over from.