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

학습 심리 잡는 ‘에듀테크 스타트업’ 비법

에듀테크 스타트업이 학생 및 수강생들의 ‘학습 심리’를 잡기 위해 다양한 기술을 활용하고 있다.

에듀테크 시장은 비대면 교육의 중심에 서며 AI 기술을 통해 다양한 학습 효율 성과를 거뒀다. 하지만 학생 및 수강생에 따라 꾸준하게 학습을 이어 나가지 모하며 비대면 교육서비스의 단점이 드러나기 시작했다. 이에 이를 개선하기 위해 에듀테크 기업들이 심리적∙행동학적 접근을 결합해 학습 심리를 자극하고 동기를 유발하는 새로운 서비스를 적극 개발하고 있다. 실제로 학습을 지속하면 보상 제도를 도입한 서비스는 물론 실사형 AI 선생님이 지지와 격려를 보내며 학습 동기를 부여하는 서비스 역시 등장하며 에듀테크 스타트업 시장의 판도가 바뀌고 있다.

◆ AI가 보상제도로 학습 독려하는 ‘스피킹맥스 돈버는 영어’

‘스피킹맥스 돈버는 영어’는 15년간 구축된 빅데이터를 활용해 캐시 보상 기반의 ‘학습 습관 알고리즘’을 설계했다.

데이터를 기반으로 학습의지가 떨어질 때, 최적의 캐시 보상을 제공하며 지속적인 학습을 유도한다. 약 2년간 최대 220만원의 캐시를 획득할 수 있으며 학습 지속 일수가 늘어날수록 보상의 규모도 증가한다. 확률형 보상 등 게이미피케이션 요소도 적극 활용해 지루하지 않게 학습을 이어 나갈 수 있다.

스피킹맥스 사용자의 50.7%가 주 5일 이상 영어 학습을 지속하고 있으며, 사용자의 16.4%는 주말을 포함해 매일 영어를 공부하는 것으로 나타났다. 이밖에도, 스피킹맥스는 대화형 인공지능 서비스인 ‘챗GTP’를 활용해 대면 영어에 부담을 느끼는 사람들도 영어 학습 습관을 형성할 수 있도록 유도하고 있다.
WeaversBRAIN

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