01 / CONTINUITY
Identity that carries forward
Keeping an AI colleague's role, working history and relationships consistent even when the underlying model, session or device changes.
Research lab · In development
Persistent AI teams,
under human authority.
리안그룹 연구소 (RIAN Group Research Lab) is developing a company operating system for persistent AI teams: AI colleagues that keep their identity across models, sessions and devices, learn from real work, and collaborate with bounded judgment and evidence-based review.
Early-stage and pre-revenue. This is a research and development effort, not a released product or service.
RESEARCH THEMESCONCEPT
01 / CONTINUITYIdentity across models & sessions
02 / EXPERIENCEWork-derived memory
03 / AGENCYBounded judgment
04 / ASSURANCEEvidence-based review
Roles · Permissions · EvidenceFinal authority stays with people
Concept illustration only. Not live data or shipped capabilities.
What we studyContinuity that outlives a single session.Growth earned from real, reviewed work.
About the lab
An early-stage lab working on how AI teams can be trusted over time.
AI collaboration is often organized around individual conversations. We are exploring what it takes for AI team members to behave more like long-term colleagues: keeping a stable identity, carrying forward what they learned on the job, and working within clear roles.
We treat human authority as a design requirement, not an afterthought. AI contributors can offer independent perspectives and even disagree, but decisions with real consequences remain with accountable people.
Alongside this research, we are exploring practical tools for local business operations, family health records, travel and learning.
- StageResearch & development
- Commercial statusPre-revenue
- Public productNot available
Research direction
A team, not a stack of prompts.
Our work focuses on durable, accountable collaboration rather than personas that only appear persistent.
02 / LEARNING
Memory from real work
Turning experience from actual tasks into memory and, after verification, into shared organizational knowledge, instead of unreviewed self-modification.
03 / ACCOUNTABILITY
Bounded judgment, reviewed by evidence
Designing roles, permissions and review practices so AI team members can exercise judgment and check each other's work while people keep final authority.
Research & product projects
만들고 있는 프로젝트
실생활의 문제를 풀기 위해 기획·연구·개발 중인 프로젝트입니다.
These are research, planning and development directions, not publicly released services. No public signup, pricing or API is available.
RIAN · AI 팀 운영체계Company operating system for AI teams
모델과 세션이 바뀌어도 정체성과 업무 경험을 이어가며, 사람의 권한 아래 협업하는 지속형 AI 팀의 운영 기반을 연구합니다.
A foundation for persistent AI teams, with identity continuity, work-derived memory, clear roles and evidence-based review under human authority.
다플랫폼Business operations platform
식당에서 시작해 스파·마켓 등으로 확장하며, 예약·현장 대기·매입 업무를 하나의 흐름으로 연결하는 다매장 운영 플랫폼입니다.
An integrated operations platform for restaurants and other local businesses, bringing reservations, walk-in queues and purchasing into one workflow.
여행지도Personal travel route map
비행기·버스·기차 티켓과 예약 기록을 지도 위 여행 동선으로 정리하고, 이동·숙박 통계를 돌아볼 수 있게 하는 앱 아이디어입니다.
An app concept that turns travel tickets and booking records into a personal route map, with transport and accommodation statistics.
건강관리 앱Family health record organizer
가족의 검사 결과·처방·의료 문서를 개인별 타임라인으로 연결하고 진료 준비를 돕는 앱 구상입니다. AI 진단 서비스가 아닙니다.
A concept for connecting family health records into individual timelines and supporting visit preparation. Diagnosis and treatment decisions remain with healthcare professionals.
리뷰 모니터Google Review Monitor
지역 사업장의 온라인 리뷰에서 부정적 피드백을 찾고, 번역과 통계로 고객의 목소리를 살펴보는 운영 도구를 준비합니다.
Tools for helping local businesses detect and translate negative customer reviews, and understand feedback trends.
AI 교육 서비스Personalised AI learning
대화로 학습자의 수준과 목표를 이해하고, 개인별 학습 과정과 실습을 설계하는 교육 서비스의 가능성을 탐색합니다.
An education-service concept exploring conversation-based learner assessment, personalised learning paths and guided practice.
소개는 각 프로젝트의 목표와 준비 방향을 설명하며, 출시나 현재 제공 중인 기능을 의미하지 않습니다.
Project descriptions reflect intended directions and may evolve. They do not imply a completed implementation, public launch or active product integration.
Contact
Interested in our research?
We welcome notes from researchers, builders and anyone curious about persistent, accountable AI teams. We are not taking orders, signups or customer onboarding at this stage.