
Acade is an AI research co-scientist built for literature-grounded research workflows. Instead of giving you loose answers, it helps you explore papers in depth, generate hypothesis candidates, and map both supporting and opposing evidence, so you can see the full scholarly landscape around any question before committing to a direction.
From there, Acade helps you design experiment or analysis plans and produce source-backed research reports, keeping every step anchored to the literature. The workflow moves logically from question to evidence, from evidence to hypothesis, from hypothesis to a validation plan, and from results or feedback to the next research iteration.
Unlike generic AI chatbots, Acade is purpose-built to organize the entire research process rather than fragment it into scattered conversations. Researchers remain firmly in control of scientific judgment, experiment approval, ethics, and final conclusions, with Acade serving as a rigorous collaborator rather than a replacement for human expertise.

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