Scientists, researchers and the NGOs that need their data standardized. Starting with those whose funders require it.
Methods is built for the people who do the work: the principal investigator, the postdoc, the technician, the student, the desk-based analyst, anyone whose work runs through steps that live only in their own hands and who wants those steps standardized, automated where they can be, and shared with a team. Funders have made that urgent: open-science funders now require the protocols behind funded publications to be deposited openly, and federal data-sharing policy points grantees the same way. The first cohort is scientists and researchers whose funders require complete, shared protocols, and the NGOs that need their data standardized; then clinical doctors; then enterprise and university programs.
The alternative is a hire
Turning what a researcher knows into something a computer can run has meant hiring a computational person, paying a core facility by the hour, or losing a grant cycle to a failed reproduction. A researcher can budget Methods as a line item inside a modular grant and stay the knowledge authority.
The scientist stays the authority
A scientist with a discovery can build computational support into the budget far more cheaply than a hire, and does not hand the analysis to someone who does not know the science. Methods drafts; the scientist validates.
Where the incumbents stop
Notebooks and protocol repositories are storage: they wait to be filled in, and their newer AI features structure what a scientist already wrote. Nothing we have found interviews the scientist about what was never written down.
One standard across many labs
A company's research organization or a funder's network of labs can set a program standard, see a fit report for each lab and a divergence view across them, without any lab handing over data. See the program layer →
Same engine, second product
The guided-elicitation engine behind Methods was built to work anywhere expertise lives in one person's head. The second product on it, for owner-operated service businesses, is on the roadmap after the scientific cohort.