Strata is a living meta-analysis like tool for the teams who depend on evidence. A meta-analysis can pull scattered trial data into a single defensible answer, but it goes stale the day it publishes, and refreshing one by hand is slow and expensive. Strata keeps that answer current and lets you trace every number back to its source. You ask a research question, and Strata pulls the matching trials, reads the results out of each one, and gives a first read on how much to trust each. A person stays in the loop: Strata surfaces low-confidence extractions and the trust judgments that carry weight for a human to confirm before anything is pooled, rather than deciding those alone. It then combines what passes into a single answer: the size of the effect, how confident you can be, a forest plot, and a plain-English summary, with every figure clickable back to the sentence it came from. When a new trial reports, it re-runs and tells you whether the answer changed. This works because of one rule: Claude reads, code does the maths. Claude finds and structures the numbers; a statistics library does all the pooling; and plain sanity checks flag anything that doesn't add up rather than folding it in. When the data is too thin to answer, Strata says so instead of inventing a confident number. Claude drives the whole workflow through an MCP server, with a full web platform and CLI over the same core.
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