No demo needed — just look around
Everything below is live on this site, taking real bookings from real customers right now.
| Live seat counts | Remaining seats per departure, in the calendar. Overbooking is impossible. |
|---|---|
| Waitlist with seat holds | When a trip is full, customers join a queue. If someone cancels, the owner is told who is next — and that seat is locked while the call happens, so nobody else takes it. |
| Automatic deposit matching | Bank SMS is parsed and attached to the right booking. The screen shows in colour whether a payment was matched automatically or by hand. |
| Payment deadlines | Unpaid bookings raise a reminder card on their own, with a payment link and a ready-to-send message. |
| Refund math, up front | The customer sees what cancelling costs them before they cancel. Fewer arguments on the phone. |
| One notification, not nine | Nine guests used to mean nine pings. Now it is one card with checkboxes. |
| AI assistant | Answers customer questions from the actual programme, tide and policy data — grounded, so it does not invent. |
| One admin screen | Manifest, payments, revenue, catch reports and server health in one place. |
| Search and languages | Per-programme landing pages plus English, Japanese and Chinese, generated automatically. |
This site, by the numbers
Average 8.7 per departure capacity 10
People who actually boarded since 2026-09-01 - headcount, not bookings.Who this fits
- Fixed-capacity, scheduled departures — charter boats, yachts, diving, surfing, riding, workshops, studio rentals
- Deposits by bank transfer — no card fees, but confirmation still automatic
- Frequent cancellations or no-shows — showing the penalty before they cancel reduces disputes
- Owner-operators on site — the manifest and the money on one phone
- Places that want foreign guests — English, Japanese and Chinese pages with search visibility
Booking is not all we do
If a job has AI in it, the field does not matter — vision, language (LLM), speech, multimodal, physical AI and healthcare. Where it matters, we train a custom model and install it on an air-gapped network.
| Vision | Judging from images and video — automatic face masking, defect and grade classification, counting people or vehicles, PPE detection, species and crop sorting. — Catch photos on this site have faces found and covered automatically at upload. Nobody paints them by hand. |
|---|---|
| Language (LLM) | Chatbots grounded in your own data, contract and document review, drafting, pulling line items out of email and SMS. — The chat button on this site, and the bank-SMS matching, are both this. |
| Speech | Call transcription, call-centre summaries and scoring, voice guidance (TTS), hands-free input on site, voice-phishing detection from call audio. |
| Multimodal | Images and text judged together — site photo plus work log to flag defects, product photo plus copy to build a catalogue, video plus captions for scene search. |
| Physical AI | Systems that see and then move — driving perception, robot arms and mobile robots, machine anomaly detection, models pushed onto edge devices so they run on site. — Author of "Vision-Based Autonomous Driving and Physical AI, the Tesla Way" (840 pages). |
| Healthcare | Reading assistance, intake and charting automation, fall and abnormal-behaviour detection for elderly care, medication tracking. — Diagnosis itself is regulated as a medical device. We design these as assistive tools and stay on the right side of that line. |
| Custom models | Fine-tuned on your own data and, where required, installed on a network with no internet at all — for places where the data must not leave the building. |
| Automation and monitoring | Daily scraping of tenders, grants or competitor pricing with eligibility filtering; services that notice they died, restart and report. — This booking server restarts itself, and says on screen whether the last shutdown was clean. |
| Training and advice | Practical AI training for staff, and advice on what to automate first. — Lead instructor on a national KDT AI programme; teaches at universities and companies. |
How it gets built
A. As is
Similar business? Change the name, programmes and prices. Fastest and cheapest.
B. Adapted
Departure structure, pricing rules, deposit and refund policy, notification flow reshaped to your business. Most projects land here.
C. From scratch
Multiple sites, multiple vessels, inventory integration — designed from the ground up.
| Timeline | A: 1-2 weeks · B: 3-6 weeks · C: to be discussed |
|---|---|
| Cost | Depends on scope. One call is usually enough for a ballpark. |
| Running cost | The server runs on a single PC if you want it to. Keeping fixed monthly cost near zero is the default. |
| Ownership | What we build is yours. Source and data are handed over. |
Who you would be working with
| Name | LEE SEOK CHANG — Founder · Adjunct Professor / Specialist Instructor, KOREATECH |
|---|---|
| Company | All That AI (올댓에이아이) |
| Work | AI booking and operations systems, workflow automation, AI teaching |
| Address | 239 Wangsan-ro, 7F #731, Dongdaemun-gu, Seoul, Korea |
| Site | allthatai.kr |
Talk to us
Tell us what you sell and how you take bookings today. A 20-minute call is usually enough to say whether this fits.
Not only software — if you run boats and want to talk about working together (shared bookings, overflow guests, joint operation), that is welcome too.
This page lives inside the Geobuk Water Sports site on purpose — so you can see the real customer-facing screens: the English landing page · the booking screen
All That AI