WeaversBRAIN

Beyond conversation,
AI that drives action

Tutor
Tutor. Sales. Care.

Even with GPT,
you’re still not
practicing English!

agent max

Beyond conversation,
AI agents that drive action

They reach out first, see it through,
and prove it with results.

  • Messages go unopened
  • Drop off before deciding
  • Too many people to respond to
  • Can't verify follow-through

Agent Incubator

AgentMAX is an incubator
for agents that drive human action.

We combine behavioral data and field know-how with our own conversational AI.
Our agents speak in the right voice for the moment, show the visuals that help, and get people to decide and follow through.

Tacit knowledge

Know-how unique to WeaversBRAIN

Teaching
How star instructors get learners unstuck
Sales
How top sellers answer each type of pushback
Coaching
How experts design habits

Data

Specialized data big tech doesn't have

1.23M
Total members
680M
Spoken sentences collected
14×
14× higher long-term retention than learners who don’t
Calls
Diagnosis of successful cases
agent max
  • VADVoice detection
  • STTSpeech recognition
  • LLMDialogue reasoning
  • TTSSpeech synthesis
  • Korean code-switching

    Handles mixed Korean and English

  • Turn-taking

    Knows when you're done and takes its turn

  • Full duplex

    Responds instantly, even when interrupted

  • Target speaker extraction (TSE)

    Hears only the user, even when many people talk

+ Visual aids

Shows the screens and materials the conversation calls for.

+ EDRA behavior design engine

Empathy → Diagnosis → Reframe → Goal breakdown

Swap the role, knowledge, and target behavior, and a new agent is born.

Agents that drive action

  • MAX Tutor
  • MAX Sales
  • MAX Care

+ Next agents

  • MotivationLearning · Beauty · Fitness
  • SalesEducation · Finance · Commerce
  • PublicAdministration · Healthcare · Welfare
  1. Measure Action Rate
  2. Feed results back as data
  3. Smarter interventions

Action Rate: the share of users who actually act after a conversation — AgentMAX's core performance metric.

How it works

From signal to action

The agent reads the situation and moves first,
even before the user asks.

  1. STEP 1Detect signals

    Catches hesitation, stalls, and drop-off signs in real time

  2. STEP 2Pick the moment

    Chooses when the user is most likely to respond, based on their routine

  3. STEP 3Converse

    Guides the user to act with a set persuasion sequence (EDRA)

  4. STEP 4Confirm follow-through

    Checks whether the user acted and plans the next move

  5. RESULTAction & achievement

    Measures the Action Rate and refines the next intervention

Difference

How it differs from information chatbots

Information chatbotAgentMAX
How it worksAnswers questions passivelyReads the situation and steps in proactively
DataMostly public documents and general knowledgeBehavioral data recording completion and conversion
PurposeSummaries and Q&APersistence, decisions, achievement
When it actsOnly when the user speaks firstThe moment drop-off or hesitation is detected
Unit of actionLong text explanationsTasks you can do in under a minute
ContextLost between sessionsCarries over across sessions and channels

Why us

Anyone can use an AI model,
but the real edge begins with data on whether people actually followed through.

Persistence data

We've tracked who kept learning and who stopped
across years of running language services.

  • What we said to win people back right before they quit
  • When re-engaging drew the strongest response

Decision data

We've recorded why sales succeeded or failed
across 15 years of consultation teams.

  • Responses that converted each type of refusal
  • When and how an offer brought the decision forward
1.23M
Total members
300+
Companies & institutions
680M
Spoken sentences collected

WeaversBRAIN brings together behavioral data,
domain experts, and AI research to build

agents that drive action.

agent max

An AI agent that speaks first and drives action

You've put it off 3 times this week.
Is the timing off?

Looking for a commuter e-bike?
A foldable, long-range
model fits best.

It's pretty chilly today.
Are you doing okay?

Calling at the time we set.
Got 10 minutes now?

Time for your lunchtime meds.
Do you have them nearby?

Use Cases

Teaches like a star instructor,
sells like a top salesperson

AgentMAX reads people
and drives action in under a minute.

  1. Empathy
  2. Diagnosis
  3. Reframe
  4. Action
  • Star instructor mode

    MAX Tutor

    Calls first at the set time
    and gets the day's lesson done.

  • Top salesperson mode

    MAX Sales

    Steps in when buyers hesitate
    and helps them decide on their terms.

  • Head coach mode

    MAX Care

    Reads diet and daily patterns
    and changes the very next choice.

MAX Tutor

Star instructor mode

These conversations are recreated to show the tone of the actual service.

Trust & Control

Control stays with the user

The more an agent drives action, the more users
should decide how far and how hard it steps in.

  • Data isolation

    Personal data and business information are kept separate, and are never used to train external public models without explicit consent.

  • Set the scope

    Users decide when they can be contacted, how strong notifications are, and what data the agent may refer to — and can change these at any time.

  • Approval for what matters

    Routine guidance runs on its own, but high-stakes actions like payments and contracts require the user's approval.

Partners

Partnerships and recognition

  • SK Telecom

    SK Telecom

    AI agent business MOU,
    'AI for Everyone' collaboration

  • SK K-AI Alliance

    SK K-AI Alliance

    46 AI companies
    from Korea and abroad

  • Ministry of Science and ICT

    Ministry of Science and ICT

    Selected for the
    high-performance
    GPU support program

  • Even Realities

    Even Realities

    AI glasses sales agreement

  • NE Neungyule

    NE Neungyule

    Technology supply agreement

  • Flexcil

    Flexcil

    Technology supply agreement

  • Hankuk University of Foreign Studies

    Hankuk University of Foreign Studies

    Industry-academia partnership on multilingual AI tutors

Agents configured for your environment

We review your business goals and data environment, then design the scope and approach together.

Get in touch

Service

Services powered by our agents

max ai

MAX AI

Motivation that never stops — No.1 AI English

Visit website
SpeakingMAX

SpeakingMAX

Real-world English filmed on location — No.1 in customer satisfaction

Visit website
VIAGGIO

VIAGGIO

Buying advice that reaches out first — premium e-bikes

Visit website

About

WeaversBRAIN

We are an AI company that builds conversational AI agents that drive human action, for our own services and for companies and institutions.

WeaversBRAIN
Company overview
CompanyWeaversBRAIN Co., Ltd.
FoundedJuly 2008
CEOSewon Cho, Yongkook Lee (Co-CEOs)
Address9F Mario Tower, 28 Digital-ro 30-gil, Guro-gu, Seoul, Korea
BusinessDevelopment and supply of conversational AI agents; AI language learning services
ServicesMAX AI, SpeakingMAX

History

Our story

We designed our own dialogue reasoning technology and built a voice AI pipeline.

  1. 2026

    Built a conversational AI pipeline

    • Secured core conversational voice AI technology by developing bilingual text-to-speech (TTS) in-house and deploying it in production
    • Launched SpeakingMAX Chinese and MAX AI Spanish, Vietnamese, and Korean courses
    • Signed an AI agent MOU with SK Telecom and a multilingual AI tutor MOU with Hankuk University of Foreign Studies
    • Joined the SK K-AI Alliance; selected for the high-performance GPU support program
  2. 2025

    Expanded the AI service lineup

    • Launched Care Call, where the AI tutor calls learners first
    • Launched SpeakingMAX Japanese, a MAX AI OPIc course, and domain-specific services for businesses
    • Bronze at the AES Global Awards; Minister of SMEs and Startups Award at Inno-Biz Day
  3. 2024

    Became an AI company

    • Renamed the company WeaversBRAIN
    • Launched MAX AI, an AI tutor built on our in-house dialogue reasoning technology

News

News from WeaversBRAIN

Loading news.

Contact

AgentMAX inquiries

Sales agent

For companies and institutions considering agent adoption, voice AI engine integration, or joint projects.

Get in touch

Tutor agent

Learn how to bring employee language training and domain-specific courses to your organization.

Get in touch

Join us in building
AI that drives action

Open positions are listed on
the Weavers Group careers page.

Go to careers page
스피킹맥스

스피킹맥스, 가입 3개월 후 학습 지속률 63%…장기 학습 습관 형성 확인

스피킹맥스, 가입 3개월 후 학습 지속률 63%…장기 학습 습관 형성 확인

▷ "영어는 실력보다 지속"…스피킹맥스 학습자 절반, 5개월 이상 학습 유지
▷ 스피킹맥스, 가입 5개월 후에도 절반 이상 학습 지속
▷ 스피킹맥스, 행동과학 기반 습관 설계로 학습 지속률 확인

AI 교육기업 위버스브레인(공동대표 조세원·이용국)이 운영하는 영어 학습 서비스 '스피킹맥스'에서 가입 3개월이 지난 이용자의 63%가 학습을 지속하고 있는 것으로 나타났다고 3일 밝혔다. 회사는 외국어 학습의 성패가 단기간의 실력 향상보다 학습을 꾸준히 이어가는 습관 형성에 달려 있다고 설명했다.

스피킹맥스의 2025년 9월부터 2026년 6월까지 가입 이용자의 학습 데이터에 따르면, 가입 3개월 후에는 63%로 집계됐다. 가입 5개월이 지난 시점에도 절반 이상(약 51%)이 학습을 이어갔다. 학습 초기의 이탈 없이 상당수의 이용자가 수개월 단위로 학습을 유지하고 있다는 의미다.

외국어 학습은 짧은 기간의 집중보다 오랜 기간에 걸쳐 반복하는 습관이 성과를 좌우한다. 위버스브레인은 내부 학습 데이터를 바탕으로 한 행동과학 기반 설계를 적용해 왔으며, 초기 학습 경험이 장기 학습 습관으로 이어진다는 분석에 근거해 학습 초반에 작은 성공 경험을 쌓는 구조를 설계했다고 밝혔다.

스피킹맥스는 연속 학습일 관리, 학습 진도 시각화, 학습 알림 등의 기능을 통해 한 회차를 3~5분 내외의 짧은 단위로 구성했다. 이용자가 자투리 시간에 부담 없이 반복하며 학습 흐름을 유지하도록 한 것이다. 또한 기존 초보 과정보다 더 쉬운 ‘왕초보 과정’을 운영하며, 유저의 수준에 맞춰 성취감을 얻고 학습을 지속할 수 있도록 설계했다.

위버스브레인 관계자는 "가입 3개월 후에도 이용자의 절반 이상이 학습을 지속한다는 것은 외국어 학습 습관이 형성 되었다는 의미"라며, "이용자가 꾸준히 학습을 이어갈 수 있도록 습관 설계를 고도화해 나가겠다"고 말했다.

관련기사 ▶▶ 베타뉴스|스피킹맥스, 가입 3개월 후 학습 지속률 63% (2026.07.03)

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