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Autonomous Research Agent
Generates hypotheses, searches arxiv/PubMed/Semantic Scholar, synthesizes findings into structured reports with chain-of-thought reasoning.
The problem
Researchers lose time in the gap between reading literature and designing a testable experiment.
- You read twenty papers and still can't say what experiment to run next.
- Promising leads sit in a "to review" folder because synthesizing them takes a full day.
- Two labs re-derive the same hypothesis because nobody had time to check what's already known.
What NEO built
NEO built a pipeline that ingests papers and datasets, extracts findings and limitations, and generates ranked, feasibility-scored hypotheses with draft experimental protocols.
The result
3 literature sources, ranked hypotheses
Cuts the path from literature review to experiment design, with documented provenance behind every generated hypothesis.
From the blog · 8 min
HypothesisEngine: An Autonomous Research Agent That Reads the Literature So You Don't Have To
NEO built HypothesisEngine, an autonomous research agent that generates hypotheses, searches scientific literature across arxiv, PubMed, and Semantic Scholar, and synthesizes findings into structured reports using chain-of-thought reasoning.
Try this in your workspace
Paste this into NEO chat to kick off the same workflow on your own data.
Ingest these papers and datasets, extract the key findings and limitations, and generate ranked, feasibility-scored hypotheses with draft experimental protocols I can run.
Paste it in · review the plan · get the diff
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