Acade

Acade is an AI research co-scientist. It helps researchers turn a broad question into a structured, verifiable project. You start by defining your research goal, field, and constraints. Acade then works with you to map the relevant literature, identify gaps, and propose specific, testable hypotheses. The tool is built to keep the researcher in control, presenting evidence and counter-evidence for review at each step.

It works by breaking down the research process into connected stages: intake, literature mapping, hypothesis generation, experiment planning, and reporting. A key feature is its focus on traceability. Every claim or suggestion is meant to be backed by citable sources, and the system highlights uncertainties and potential failure modes. This makes the research path clear and reproducible.

Acade is for academic researchers, graduate students, and data scientists who need to organize complex projects. It's useful for conducting systematic literature reviews, developing a thesis proposal, or planning a reproducible data analysis. The tool doesn't replace the scientist's judgment but aims to make the research loop more efficient and well-documented.