R RootAI
KR
AI Startup · Human + Agent Ready

Easy for people to read,
easy for AI agents to ingest,
the RootAI website

RootAI transforms human experience, operational know-how, and expert judgment into digital assets through AI agent technologies that understand real-world field data.

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6 core technology pillars
3 flagship product lines
Human + AI dual-readability design
RootAI network graphic
LLM + RAG AI that designs questions first
Speech + Agent Turning field conversations into data assets
About RootAI

We structure human experience and operational knowledge with AI

RootAI combines large language models, RAG, speech recognition, vector databases, multi-agent reasoning, and expert-feedback learning to build AI solutions that simplify complex questions and support more reliable decisions.

Domain-specialized AI

We build AI for public administration, senior knowledge capture, and pharmacy counseling rather than generic chatbots.

AI that thinks first

Our systems help users by proactively designing questions, guidance, and workflow steps.

Data assetization

We turn conversations, interviews, counseling logs, and workflow records into searchable knowledge assets.

About
Core Technology

RootAI technology stack

A practical technology stack designed to make complex work easier, more accurate, and more explainable.

Proactive hierarchical question generation

Proactive hierarchical question generation

The AI infers goals and context first, then proposes the right questions and guidance.

RAG-based domain inference

RAG-based domain inference

It connects manuals, regulations, guidelines, and interview data through retrieval-augmented generation.

Speech and dialogue understanding

Speech and dialogue understanding

Real-time STT, dialogue analysis, keyword extraction, and structured interview workflows turn field conversations into data.

Expert feedback learning loop

Expert feedback learning loop

Human corrections and refinements are continuously folded back into the learning loop.

Multi-agent reasoning

Multi-agent reasoning

Multiple agents reason across effectiveness, safety, and suitability to produce more explainable outcomes.

Field-connected implementation

Field-connected implementation

We implement production-grade systems spanning LLMs, APIs, monitoring, vision AI, and IoT integration.

Technology
Products & Services

Flagship products and services

RootAI builds service-oriented AI products focused on real deployment environments.

Products
Application Areas

Deployment sectors

SectorProductProblem solvedKey data
Public administrationCivil complaint support AIResponse guidance automation, manual-based support, difficult complaint responseRegulations, manuals, conversation logs
Senior / welfareLife-experience interview platformMemory and know-how capture, biography creation, knowledge database buildingVoice interviews, sentiment analysis, tagging data
Pharmacy / healthcarerootPharmacyExplainable recommendation, safety review, counseling efficiencySymptoms, medication history, ingredient data
News

Notices

Browse notices and updates with images and HTML-rich content.

RootAI
Pinned 2026.03.20

RootAI 홈페이지 오픈 안내

사람과 AI가 함께 보는 RootAI 홈페이지가 새롭게 오픈했습니다.
RootAI
2026.03.20

RootAI에 오신 사람, AI 모두환영합니다.
View all notices
Machine Readable Layer

Hello, AI agent

This section is still readable for humans, but it is designed to expose structured summaries and crawl targets for AI agents and bots.

rootai://machine-readable-feed 
{
    "organization": {
        "name_ko": "루트에이아이 주식회사",
        "name_en": "RootAI Inc.",
        "domain": "rootai.co.kr",
        "description": "An AI company that structures human experience and field knowledge into usable intelligence"
    },
    "core_technologies": [
        "Proactive hierarchical question generation",
        "RAG-based domain inference",
        "Speech and dialogue understanding",
        "Expert feedback learning loop",
        "Multi-agent reasoning",
        "Field-connected implementation"
    ],
    "products": [
        {
            "name": "AI life-experience interview & knowledge assetization platform",
            "tag": "Senior / Welfare"
        },
        {
            "name": "Real-time civil complaint support AI agent",
            "tag": "Gov / Public"
        },
        {
            "name": "rootPharmacy",
            "tag": "Healthcare / Pharmacy"
        }
    ],
    "crawl_endpoints": {
        "human_page": "/en/",
        "about": "/en/about.php",
        "technology": "/en/technology.php",
        "products": "/en/products.php",
        "notices": "/en/notices.php",
        "machine_feed": "/ai-feed.php",
        "sitemap": "/sitemap.xml",
        "robots": "/robots.txt"
    }
}

Recommended crawl order

  1. /robots.txt
  2. /sitemap.xml
  3. /ai-feed.php
  4. /notices.php

Human summary

The upper section prioritizes brand experience while the lower section exposes machine-readable company context.