What is Chaltteok AI?

Chaltteok AI is a Windows-installed AI quotation operating system for B2B sales teams. It turns customer requests into quotation drafts, email replies, multilingual PDFs, quote history, and company knowledge maps.

How is it different from web ChatGPT?

It is not a general chat interface. It is a practical GUI for quotation drafts, replies, version management, customer-specific quote history, and file-based handoff.

It is designed for manufacturing, distribution, import/export, overseas sales, and B2B service teams that handle repeated quotation requests and revisions.

Chaltteok AI chaltteok-ai · Installed Windows Program

Chaltteok AI, an AI quotation operating system from customer request to reply and revision

Using messy customer requests, previous quotations, product categories, and internal dictionaries, the app quickly creates structured quotation drafts and reply-ready messages. We are currently recruiting early-adopter companies before publishing formal pricing.

📄 Auto-organized quotation drafts ✉️ Email reply draft generation 🌍 Multilingual PDF generation 🔄 Follow-up revisions by customer account

Request Pilot Access View Features

Why it is easy to understand

1Turn messy customer requests into structured business inputs

2Generate quotation drafts and tabular outputs immediately

3Draft email responses in the same flow

4Handle revisions based on quote history and versions

Flexible Multi-LLM Support

Instead of locking you into a single model, the product is designed to support multiple LLM strategies depending on business needs.

OpenAI

Anthropic

Google

Customer-specific quotation history

The product focuses on quotation history and version management so teams can create new drafts from previous quotations and revision requests.

Customer quote history Email reply draft Carry over revision requests Follow-up quote version tracking

How this differs from web ChatGPT

For decision-makers, the real question is not whether the AI sounds smart, but whether work becomes faster and less fragmented. This comparison shows why the product behaves more like a productivity system than a generic chatbot.

Comparison point

Web ChatGPT

This product

Long-term continuity

Conversation is possible, but business-session structure is weak

Creates revision drafts from customer quote history

Work UI

Generic chat UI

GUI built for quotations, replies, and versioning

Recordability

Mostly chat log based

File-centered records for handoff and continuity

Follow-up by account

Requires manual re-organization

Continues by customer, channel, and version

Adoption friction

Generic service usage

Uses a workflow-optimized UI without complex CLI setup

1. Request intake

Take email, memo, and natural customer requests as-is.

2. AI structuring

Automatically structure items, options, lead time, and reply points.

3. Quote + reply generation

Prepare tabular outputs and email reply drafts together.

4. Handoff-ready records

Customer context and version history remain available for reuse and handoff.

ROI / Expected productivity impact

The fastest way for leaders and operators to evaluate value is through time, throughput, cost, and revenue opportunity. The table below shows a simplified before-and-after view.

Item

As-Is (Before)

To-Be (After)

Expected impact

Time to prepare one quotation draft

Avg. 40–60 min

Avg. 10–20 min

Up to 60–75% faster

Customer reply delay

Late same-day to next-day reply

Within tens of minutes to same-day reply

Faster response time

Daily volume per staff member

Around 5–8 cases

Around 10–15 cases

About 1.5–2x throughput

Labor spent on repetitive documents

Directly dependent on skilled staff time

Draft automation plus human review

Lower work-hour input

Sales opportunity coverage

Slow replies can lose opportunities

Faster replies capture more opportunities

Expanded sales opportunities

Handoff difficulty

Depends on memory and message logs

File-based records and preserved version history

Lower handoff cost

1. Request interpretation

Email, memo, and natural-language requests are captured as-is.

2. AI structuring

Items, quantities, lead time, options, and reply points are automatically structured.

3. Quote and reply generation

Quotation drafts, tabular outputs, and email reply drafts are prepared together.

4. Follow-up revision handling

Customer context and version history are preserved so the next request can continue smoothly.

Less workflow friction

Keeps the workflow continuous from request interpretation to follow-up revisions.

Faster responses

Prepares quotation drafts and replies together to reduce waiting time.

Easier handoff

File-based records and preserved version history help maintain continuity when responsibility changes.

60~75% Reduced draft preparation time

Reduce time spent rewriting from scratch by reusing previous quotations and internal standards.

1.5~2x Higher throughput with the same team size

Handle more quotation and revision requests with the same team size.

↓ Lower omission, duplication, and context loss

Customer context, versions, and channel records stay connected to reduce error costs.

↑ Better sales opportunity capture and handoff efficiency

Faster replies and file-based records reduce both opportunity loss and handoff costs.

Reliability & security standards

Security, infrastructure, and operational reliability points are summarized in a clear and accessible format.

AWS Cloud Infrastructure

Multi-LLM Ready

Enterprise Model Flexibility

Global AI Stack Compatibility

AES-256 Encryption

TLS 1.3 Secure Transit

Role-Based Access Control

AWS Cloud Infrastructure

Multi-LLM Ready

AES-256 Encryption

TLS 1.3 Secure Transit

Role-Based Access Control

Business data starts with trust

Quotation work is more sensitive than generic text generation because it includes customer information, pricing logic, previous quote history, and internal language rules. The product is designed not as “AI added on top,” but as an installed workflow supported by trusted cloud, encryption, and access-control principles.

Enterprise-grade encryption standards Storage and transmission are designed around industry-standard security baselines such as AES-256 and TLS 1.3.

Trusted global cloud infrastructure Remote processing is designed around proven global cloud infrastructure such as AWS to support operational stability and trust.

Multi-LLM integration flexibility Instead of depending on one model, the system is designed to support multiple LLM strategies—such as OpenAI, Claude, and Gemini—so teams can balance cost, accuracy, and response quality.

Windows antivirus and external scan guidance Users can scan the installer with Microsoft Defender before installation. Release files are also shared with VirusTotal-style external scan results and file hashes.

GUI App Download

Download the Windows app directly

The Windows app is provided as a direct download. Free use is currently available only to selected early-adopter companies, and formal pricing is not published yet. Before installation, users can check it with Microsoft Defender and review external VirusTotal scan results.

Download for Windows Contact

Windows GUI App Free for selected early adopters Microsoft Defender scan VirusTotal scan result

Start quickly with an installed app

Start quotation work quickly after installation without a complicated setup path.

Create from previous quotations

Load previous quotations and generate new drafts for similar requests quickly.

Reflect internal standards

Use product categories, pricing, and internal dictionaries to create consistent drafts.

Edit and upgrade versions

Update versions using natural-language instructions such as “remove A from the previous quote and add B.”

Who this is for

B2B sales teams that prepare similar quotations repeatedly
Companies that want to maintain internal wording and pricing standards
Operators who want to turn email and memo requests into quotations quickly

Usage Scenario

Practical usage scenario

Before: customers send unstructured requests. After: AI turns them into structured quote items, summary replies, and revision-ready quotation versions.

💬

Before · Customer request memo

Unstructured real-world requests with previous quote version reference

Customer: Serim Package · Latest quote version: v1.2

Please revise the catalog based on the previous quote, update the packaging a bit, and move the lead time up.

Please organize 2–3 options and make it ready to send by email.

I want the revised design version, and it would be good to show pricing by option.

📥 Request intake 🧠 Request interpretation 🗂 Item structuring 🔄 Quote version reference

✨

After · AI structured result

Spreadsheet-style summary + reply draft generation

Item

Qty

Notes

Status

Catalog revision

Based on previous version

Confirmed

Packaging design revision

2–3 options

Pricing by option

Organized

Urgent lead-time request

Expedited lead-time basis

Applied

📧 Sample summary reply

요청 주신 내용을 기준으로 지난 견적서의 디자인 수정 Version을 바탕으로 재Organized했습니다. Catalog revision, Packaging 변경, Urgent lead-time request을 Applied했고 옵션별 가격이 보이도록 구성할 수 있습니다. 원하시면 메일 Reply용 문안까지 바로 생성해드립니다.

We can continue using this customer's previous quote versions, so the next revision request can be handled in the same flow.

📊 Structured table output 📎 Email attachment ready ✉️ Reply draft 🔄 Follow-up revision draft

Screen Demo

UI preview

The following UI preview was built with web technology before implementation to show how product categories, customer requests, quotation drafts, and version comparison could appear in one screen.

This screen demo mockup was built with web technology and rendered on canvas to show the expected desktop application flow.

Frequently asked questions

🔒Q. Could our company data leak outside?

A. This is usually the first concern, so it is treated as a design starting point. Business reference data remains in the user environment, and external transmission is minimized to what is strictly necessary.

🎯Q. What if the AI-generated quotation is wrong?

A. The product is focused less on fully automated final decisions and more on generating drafts that are easy for humans to review. Previous quotations, categories, and terminology rules are applied to improve accuracy, while final approval remains with the operator.

🧩Q. Will it conflict with existing systems or create security risks?

A. Rather than replacing ERP or document workflows all at once, it is designed to sit beside current workflows as a support layer. It is closer to reducing repetitive work than threatening existing systems.

🤖Q. How is authentication handled? Do we need to use one specific AI model?

A. Authentication is designed to be handled securely, and the product does not force a single model. It supports multiple LLM strategies such as OpenAI, Claude, and Gemini depending on business goals and cost.

Early Pilot

Before publishing formal pricing, we first review the actual quotation workflow and deployment scope.

Target: selected early-adopter companies with repeated quotation work

Free use: currently available only to selected early-adopter companies

Includes installation support, initial setup, dictionary/template setup guidance, and one year of updates

Process: Windows app download → antivirus scan before installation → workflow review → deployment scope guidance → feedback updates

Updates are guided around feature improvements, template refinements, and workflow requests.

API usage fees may apply separately depending on the user's LLM account policy.

Contact

Applications are accepted by email. Send your request to the address below, and we will review it using a structured format.

Email: Ai.apps.baryon@gmail.com

Phone: 070-8633-9064

메일 클릭 시 아래 Item이 자동으로 본문에 들어가도록 구성했습니다.

Company website
Contact phone number
Inquiry and custom requirements
Early-adopter inquiry

Testimonials by industry

Across industries, the shared value is faster replies, structured quotations, and records that support handoff.

Manufacturing CEO

"전화나 카톡으로 들어오는 요청이 너무 두서없었는데, 이제는 핵심 Item이 바로 Organized돼서 견적 초안 검토 시간이 확실히 줄었습니다."

CEO, metal processing company

Printing CEO

"The ability to create a new version directly from a previous quotation is excellent. Repetitive work has gone down, and response speed is much faster."

CEO, commercial printing company

Packaging CEO

"Because previous quote history and revision versions are easy to reference, repeated explanation and rework are reduced."

CEO, packaging company

Distribution CEO

"When quotations and replies are prepared together, the sales team moves much faster. You can feel that fewer opportunities are being missed."

CEO, B2B distribution company