A single model will occasionally fabricate a citation, mis-derive an equation, or confidently hallucinate. Inside science, that's a showstopper.
Neko Labs is built around multi-agent debate because the research says it works. When specialist agents critique each other's reasoning before committing to an answer, fabrications get caught in the loop. Not in your paper.
In fields like ours (computational biology, physics, anything quantitative) a confident-sounding wrong number is far more damaging than a visible "I don't know."
Multiple language model instances propose and debate their individual responses over multiple rounds — improving factual validity and reducing hallucinations that contemporary models are prone to.
ARIA orchestrates. Core specialists do the thinking. A Patent agent and Grant Writer handle the paperwork. An Ideator pitches new directions, and four judges score every one of them on novelty, feasibility, impact, and originality. Hire who you need, swap who you don't.
These are the four pipelines most people sign up for. Each one replaces weeks of research work with a single click.
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