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Agentria is an organizational operating system — one that designs business workflows on a visual canvas, accumulates reusable assets, and handles deployment and governance at scale. Agentria for organizational processes.

싱글 LLM의 한계를 넘어서는 멀티에이전트 시스템(MAS)은 단순한 역할 분담이 아니라, 구조·협업·커뮤니케이션 설계를 통해 창발적 지능을 만들어내는 아키텍처다. 이 글은 토폴로지, 협업 전략, 동적 오케스트레이션, 커뮤니케이션 프로토콜 등 실제 프로덕션 환경에서 MAS를 설계할 때 필요한 핵심 기술과 트레이드오프를 구체적으로 다룬다.

A single LLM quickly hits its limits on complex business problems. This article traces AI architecture evolution — from single prompts to multi-agent systems — and explores what multi-agent scaling laws mean for B2B platform design.

A psychiatrist rating "It's tough, but manageable" as 3/3 relies on reasoning that post-hoc labeling often loses. A joint study by Genesis Lab, UNIST, and Seoul National University Hospital, presented at IASDR 2025, shows how interface design can capture that reasoning as training data.

The Mental Health Care Agent for Cancer Patients, created with a psychoanthropologist, organizes what patients share through conversation into structured records, and recommends appropriate support or treatment when the risk increases.

Agentria's interview simulation agents allow interviewers to practice, and then evaluate the quality of the questions based on company criteria.

AI-powered candidate screening that turns your JD and talent profile into structured evaluations, competency scores, and interview questions — automatically.

Video interview models now decide who advances, and bias rides through the score. Existing fair-ML assumed binary labels and tabular inputs — neither fits AVI. A Genesis Lab–coauthored IEEE Access (2023) paper makes fairness a Wasserstein regularizer on continuous scores, with λ_W as the knob.

This paper proposes a confidence-based noisy label filtering combined with pseudo-labeling SSL, demonstrating strong performance on noisy data and rare positive case detection, ultimately achieving an AUROC of 0.9993 on the off-site validation set.