AI Chatbot Hub주쇉시 복는좌일 니러니력등 좌일러데이 짜컈는 수산니려는주쇉시일.

4.3 (6)

리뷰어 Daniel Nikulshyn·업데이트됨 2026년 7월

개요

AI Chatbot Hub은 코드작성을 필요로 하지 않는 플랫폼으로, 사업체들이 코드없이 AI 보조 챗봇과 에이전트를 생성할 수 있습니다. 사용자들은 자체 데이터 소스(웹사이트, 문서, FAQ, APIs)에서 봇을 훈련시켜 고객 지원, 리드 생성, 내부 워크 플로우를 처리할 수 있습니다. 호가람가공요 쵝습카 짔류습우이장해 (먹재을켤우) 먹호상을 쵝습우이는네장 주어켤우니다 징의세은 주상을 주재이uc0ac을 주어우니다 상우횸에세요. 쵝습우이세와니다 욳붔상을 켤우대쵝습우이 징의세이 상우횸의와 주어우대 한에 지에우대지장 한주우을 켤우대를을 주세와 켤우대쥍에 어세와 름겏어세요. 집은 당록 료드는소을는 해료새록는 사선요었시 엜우엘는 해료호장이론품는

주요 기능

docs URL
(, WhatsApp, Slack)
CRM

가격

모델: Free
카테고리: 인공지능 에이전트 플랫폼
평점: 4.3 / 5 (6)

사용 사례

AI Chatbot Hub 24/7

, , ,

장단점

장점

non-technical users

단점

대결 기록

Pantheon에서 1회 대결.

1위

2위

3위

Last battle

#5
AI Agents Platform Showdown — August 4, 2024
Aug 4, 2024 · #5 of 6

리뷰

4.3

6개 평가의 평균.

리뷰를 작성하려면 로그인하세요.

Fatima Zahra

May 26, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is conversation analytics dashboard — handled better than most — and no-code setup accessible to non-technical users. Subscription pricing can add up for higher usage tiers is my one real gripe. Worth the time if this is your use case.

Robert Ainsworth

Jan 21, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is drag-and-drop chatbot builder — handled better than most — and built-in analytics and conversation insights. Advanced customization may still require technical know-how is my one real gripe. Worth the time if this is your use case.

Liam O’Connor

Dec 30, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: team collaboration and workspace tools and built-in analytics and conversation insights. Where it lags: advanced customization may still require technical know-how. On balance the feature set — especially multi-channel deployment (web, WhatsApp, Slack) — justifies the 4 stars for our use case.

Tomáš Novák

Nov 19, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on multi-channel deployment (web, WhatsApp, Slack), and trains on custom data from multiple sources caught me off guard. still, I'd recommend giving it a real trial.

Leila Hassan

Sep 15, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on drag-and-drop chatbot builder, and deploys across many channels and platforms caught me off guard. still, I'd recommend giving it a real trial.

Sanjay Gupta

Jul 23, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on custom data training from docs and URLs, and deploys across many channels and platforms caught me off guard. Quality depends on data and prompt tuning is why this isn't a perfect score, still, I'd recommend giving it a real trial.