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

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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

스터디맥스, 학습효과에 집중한 L2E 서비스 '돈버는영어' 출시

게임하면서 돈벌기(Play to Earn, P2E)가 급속히 성장하더니 "운동하며 돈벌기(Move to Earn, M2E), "공부하면서 돈벌기(Learn to Earn, L2E) 등 트렌드가 확장되고 진화하고 있다.

다만 실제 운동효과나 학습효과에 대한 이야기는 거의 나오지 않는다. 코인을 통한 수익화에 초점이 맞추어져 있어 신규이용자 유입에 의존할 수밖에 없는 방식이라 지속가능성에 대해서는 의문이 제기되는 상황이다. 해당서비스를 통해 얼마나 운동을 열심히 하게 되었는지, 얼마나 학습효과가 있는지가 본질이기 때문이다.

이러한 가운데 온라인영어회화 교육업체 스터디맥스에서 코인보다는 학습효과에 집중한 L2E 서비스인 ‘돈버는영어’를 출시했다.

스피킹맥스 ‘돈버는영어’는 L2E(Learn to Earn) 서비스를 지향하고 있지만, 아직 블록체인 코인화가 되어있지 않은 서비스이다. L2E에 있어서 코인을 중심에 두지 않고 있다는 것이 얼핏 듣기에는 잘 이해가 되지 않는 것도 사실이다.

스피킹맥스 ‘돈버는영어’는 L2E 서비스의 본질인 얼마나 학습량이 늘어나는지 그리고 실질적인 학습효과가 증가하는지에 집중해서 서비스를 만들었다. 아직 출시 초반이지만 그 결과는 놀랍다. 기존 학습자 대비 학습량이 5배이상 증가한다.

스피킹맥스 ‘돈버는영어’를 통해 학습하고 있는 학습자들은 일주일 평균 6일, 하루에 평균 1시간 이상을 학습하고 있는데 보통 영어회화나 헬스 등 자기개발에 있어서 꾸준히 하기가 어렵다는 것을 생각해본다면 주 6일, 매일 1시간이라는 평균 수치는 실로 놀라운 수치 놀라운 수치라고 볼 수 있다.

이런 결과가 나올 수 있었던 가장 큰 이유는 스피킹맥스 ‘돈버는영어’가 꾸준히 학습하면 학습할수록 더 많은 돈을 받아갈 수 있는 구조로 되어 있기 때문이다. 학습자가 2년동안 꾸준히 학습할 경우 평균 220만원, 최대 800만원을 받을 수 있는 서비스다.

환급, 장학금 제도 등 본인이 낸 돈의 일정부분을 돌려받는 방식이 없었던 것은 아니지만 스피킹맥스 ‘돈버는영어’는 본인이 꾸준히 학습하면 실제로 돈을 벌어갈 수 있는 구조로 만들어졌기 때문에 새로운 학습 방식에 목말라 있던 소비자들에게 돈을 벌 수 있다는 컨셉이 큰 반응을 불러일으키고 있는 것으로 보인다.

스터디맥스에서는 아무리 좋은 학습콘텐츠라고 할지라도 학습을 꾸준히 하지 않으면 소용이 없다는 점에 주목했다. ‘구슬이 서 말이라도 꿰어야 보배다’라는 속담처럼 스피킹맥스 ‘돈버는영어’는 어떻게 하면 학습자들이 꾸준히 학습을 할 수 있을까를 고민하면서 기존 돈 버는 서비스들과 동기부여 요소에 대한 고민을 바탕으로 만들어진 서비스다. 해당 서비스는 캐릭터, 성장시스템, 적절한 학습시간 관리 등 효과적인 동기부여가 될 수 있는 요소들을 적절하게 배치하고 고도화하고 있다.

스터디맥스는 ‘돈버는영어’의 학습효과가 확인된 만큼 해당 성과를 바탕으로 글로벌 진출 등 다양한 확장을 계획하고 있다.

WeaversBRAIN

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