The research gap
ends here.

Diseases affecting communities of color are systematically underfunded and understudied. Research justice demands we close that gap. Project UG deploys AI agent swarms to work these problems continuously — generating hypotheses, synthesizing evidence, and surfacing findings the research system has left behind.

“80% of Black women will develop uterine fibroids by age 50. The research funding does not reflect that reality. Project UG is built to change that — starting here.
2–3×

higher fibroid incidence in Black women vs white women

<1%

of NIH fibroid studies specifically examine Black patient populations

7

specialized agents working this problem right now

Seven agents. One research brief.

Each research question is processed by a coordinated swarm: a Cartographer maps the evidence landscape, an Analogist pulls from related diseases, an Epidemiologist identifies population patterns, a Mechanist builds the pathway hypothesis, a Skeptic stress-tests every claim, an Ethicist audits consent and equity requirements, and a Synthesizer writes the final research brief.

Cartographer

Maps the evidence landscape and identifies systematic gaps in the literature.

Analogist

Transfers validated mechanisms from related disease contexts.

Epidemiologist

Identifies population-level patterns, onset disparities, and geographic clusters.

Mechanist

Builds step-by-step biological pathway hypotheses with evidence grading.

Skeptic

Downgrades underpowered claims and flags methodological blind spots.

EthicistRequired

Flags consent history, community benefit requirements, and race classification methodology — mandatory before any study proceeds.

See a Live DemoMeet the Agents