Hyper-experts,
precision-matched.
We work with frontier AI labs, biotechs, pharma, and more. For every task, we find the handful of people in the world who truly understand it, and have their work reviewed by peers from the same niche.
Beyond general expertise.
General expertise got AI this far. The next leap needs people working at the very edge of their field.
Hard, held-out problems from the edge of a field, with expert reference answers and rubrics. Built to find where frontier models still fail.
Verifiable problems and expert rubrics that work as reward signals, so models learn what only a specialist gets right.
Datasets that exist nowhere else, sourced directly from the researchers and groups who hold them.
Hyper-experts for your team, found with the same precision.
Two matches per task.
Hyper-experts do the work. Hyper-experts from the same niche review it.
Most review stops at the field: a cardiologist checks a cardiologist. At the frontier, that misses what matters, because the hardest work can only be judged from inside its niche. Qeios, the open peer-review platform behind Quorum, is built to find reviewers from a paper's exact niche, in any discipline. Quorum runs the same engine twice on every task.
Same field. Misses what only a specialist would catch.
Same niche. The standard of peer review.
From brief to reviewed output.
Share the problem, however narrow, and the output you need.
Quorum recruits hyper-experts for that exact brief. Never a nearby discipline, never a reused pool.
They build the work: evals, rubrics, RL data.
Hyper-experts from the same niche review every output before delivery.
Precision is the difference.
General expertise is no longer enough. Quorum works one level up: hyper-experts, matched to the niche and reviewed by the niche.
Matched to the exact problem, down to the sub-specialty, in any discipline.
By field or degree: a biologist, a physician. Too broad for the frontier.
A fresh panel for every brief, drawn from 15M+ researchers through the matching engine behind Qeios.
Quality varies widely, and the same people rotate across projects.
Work only a few people in the world can judge.
Work any competent specialist in the field can do.
Hyper-experts from the same niche check every output.
Checked by generalists or reviewers from the same broad field.