Work
We have completed 50+ projects to date. These are the ones with verifiable evidence. The rest are still being documented, so more cases will be added over time.
23 client cases · out of 50+ total
2026 11 cases
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Two presale-info apps, tied together into a single collection tool
Pick the regions and themes you care about, and the app's list gets swept to the end until listing details land in Excel. Instead of photographing the screen and reading the picture, it reads the screen structure the app actually draws.
Checking presale listings across two apps Opening the app and copying each listing down one at a time from Select region/theme and run once · organized in Excel to
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A collection and scoring system that stops you from picking creators by eye
Influencer profiles are collected automatically, scored with quantitative metrics alone, and divided into grades. The criteria judge — not the picker's gut feel.
Creator screening Metrics compared by a person from 4 quantitative items summed · grade computed to
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We receive it differently on each platform, and the result comes out as one table
At the request of a global research firm, we collected product reviews from twelve locations — major retail platforms across North America and Latin America, and home appliance brands' own online stores. Each platform delivered data in its own way, so instead of taking on all of them with one collector, we received each one differently and merged it all into a table in the same format.
Review data secured Separately, in a different way per platform from Twelve locations as one table in a single format to
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A news alert platform that replaced the daily manual news search
We built a platform that automatically gathers keyword news that used to be searched and picked out by hand, and notifies the person in charge immediately via KakaoTalk and email.
How news is checked Manually searched by the person in charge from Automatic alert the moment it happens to
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Even when the schedule changes, we don't rebuild the charts
Replaced the work of hand-collecting schedule tables and building charts in Excel with a structure that collects them automatically and shows them directly on a screen. The work that used to be redone from scratch every time the schedule changed went from 4 hours or more to within 1 minute.
Manual working time 4 hours or more from Within 1 minute to
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Influencer performance scattered across 5 platforms, condensed into one advertiser report
A Python desktop app another vendor started and stopped was rebuilt as a Chrome extension that runs inside the browser where the user is already logged in. All five platforms, where no values had been captured, opened up.
Platforms collecting correctly 1 of 5 from 5 platforms to
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Custom consultation web app for aesthetic clinics connecting trust from the first tablet handover to decisions made at home
A tailored consultation system that fosters seamless trust from the moment clients receive a tablet upon entering the consultation room through to their decisions at home. Recommended treatments and before-and-after comparisons derived from a two-question selection are delivered to client smartphones via QR, with procedures and pricing updated directly within the clinic with zero recurring monthly fees.
Consultation intake and multilingual (4 languages) tailored treatment proposals and procedure menu verification Clients grew fatigued filling out lengthy paper intake forms, handwritten explanations given while flipping through price binders were forgotten once stepping out the door, and printed materials had to be discarded whenever treatment pricing changed. from Consultations are conducted collaboratively on-screen using a two-question selection and before-and-after sliders to foster clear understanding, completed proposals are saved directly to client smartphones via QR, and treatment updates are instantly reflected on the tablet through the admin screen. to
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A PDF editor that never uploads documents to a server
A web service that gets merging, signing, stamping, and conversion done inside the browser. Files never leave your device, and using it for work costs no license purchase.
Service in operation Deployed 2026.01 from 6 months without downtime · 10 languages to
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A document that arrives by email becomes a row in Excel, with no human hand
It watches the inbox, reads the text out of attached PDFs and images, and an AI splits that text into fields and delivers it to Excel. The form is defined by whoever sends it.
Service in operation Deployed 2026.01 from Pilot service · running free of charge to
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Enter just a keyword and it picks out the news articles for you
No complex setup — register the keywords you care about, and it shows only the matching articles out of the flood. It works in Korean, English, Japanese, and Chinese.
News monitoring Released 2026.03 from In operation · 4 languages to
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Reviews from three platforms gathered on one screen, and the AI writes the replies first
Reviews from three delivery platforms are gathered automatically, and the AI drafts the replies. The owner reads them and just presses confirm to post.
Review replies Written by hand across three sites from AI draft, posted after confirmation to
2025 9 cases
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A tool that collects franchise store info from three delivery apps and cross-checks it
Pick just a region, and the franchise list that was only visible inside the app is organized into twelve items, with presence in other delivery apps cross-checked by business registration number.
Franchise store status across three delivery apps Opening the app, tapping each store one by one, and copying them into Excel from Run after picking a region · twelve items organized into Excel, with presence in other delivery apps cross-checked to
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Collecting the sellers of products sold under a brand name without permission
To support a public cultural foundation's copyright and trademark protection work, we automatically collected the sellers of products sold in online shopping malls under the foundation's brand name. It counts by seller, not by product.
Sellers identified Checking search results one by one from Automatic collection across all pages to
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Sales status scattered across Coupang, Naver, and Cafe24 in a single screen
Order data that used to be fetched by logging into each store was automatically collected across three platforms, aggregated on a common standard, and gathered into a single screen.
Sales status check 3 platforms · separately per store from single screen · automatic collection to
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An analysis tool that shows thousands of research comments split by topic and sentiment
Video comments gathered by search term are grouped by topic, with a positive/negative distribution alongside. How many topics to split into is decided by the researcher on screen. It was built so the researcher can change the criteria and re-run it themselves.
Understanding comment topics By skimming with the eye and guessing from By per-topic, per-sentiment distribution to
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A collection program that compiles listing details into Excel when you pick a complex
The work of opening each listing and copying it down by hand now runs by selecting a complex of interest and pressing start: listing details are collected automatically and land in two kinds of Excel. It runs as a single executable — no Python installation needed.
Checking listing details for a complex Opening a screen to check each listing from Select a complex and run once · compiled in Excel to
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A tool that scans 19 boards, gathers postings, and posts them where they belong
Automatically gathers job postings scattered across multiple boards and posts them to the company's own site under designated categories. The screen keeps a record of how many postings came from each board.
Posting aggregation Checking 19 boards by hand from All 318 discovered postings collected to
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Derivatives-linked securities disclosures scattered across securities firms, as one comparable table
Automatically gathers ELS·ELB product information from each securities firm, splits product structures written in sentences into columns for maturity, period, and early redemption conditions, and puts them in one table.
Product comparison Checked separately per securities firm from Compared by condition in one table to
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Government support program notices collected three times a day and delivered by keyword
Automatically gathers notices from four scattered public institutions and alerts only those matching registered keywords. Built to keep you from finding out about a notice after its deadline has passed.
Support program notice checking Manually visiting institution sites one by one from Auto-collected three times a day · notified on keyword match to
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When collection breaks off midway, it never has to start over from the beginning
Records kept weekly since 2019 had to be fetched in one pass, five years' worth at once. Sending requests in a burst makes responses break off midway and that day's collection ends up half-finished, but it resumes from where it broke off and fills the entire range.
Collection range Stops midway from Full range, 2019–2024 to
2024 3 cases
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The forgery verdict comes at the very moment identity verification is in progress
Technology that analyzes forgery after the fact already exists. If the verdict comes too late, there is nothing you can do with it, so the goal was to get the verdict while the procedure is still in progress. It is a national R&D project carried out under the 중소벤처기업부 (Ministry of SMEs and Startups) 창업성장기술개발사업 (Startup Growth Technology Development Program), and the outcome was AntiFake, for which a patent was filed.
Project execution Started 2023.05 from Completed 2024.07 · all 8 performance items achieved to
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A collection tool that reads nationwide store stock directly from an app
Enter a product list and it searches the app one by one, reads per-size stock status, and outputs Excel. With multiple devices running at once, a longer list doesn't stretch the time proportionally.
Per-product, per-size store stock checks Called the store to ask from One run after entering the product list · organized in Excel to
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19,889 investment projects on the Indian government portal, as one table of 41 fields
Gathered every investment project from the government portal where investment projects across India are listed, and rearranged the scattered detail into one table of 41 fields. Handed over as a runnable file the person in charge can use.
Projects collected Checked per project from 19,889 projects · 41 fields to
Client names appear only with written consent. All other cases are described by industry and scale alone. The factual sources for each case are stated at the bottom of its detail page.
Types of Repetitive Tasks Handled in the Field
We have organized our hands-on project experience into clear task types. You can see whether any match the operational inefficiencies your team currently faces.
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Real-Time Status and Market Price Monitoring
Manually refreshing the page repeatedly to check status from Receiving instant notifications when matching changes occur to
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Collection of Public Information and Disclosures
Visiting each agency website to check documents one by one from Entering a target list to compile required items at once to
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Automating Repetitive Orders, Settlements, and Inventory
Logging into each sales channel to cross-check records manually from Aggregating multi-channel records in one place automatically to
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Aggregation of Reviews and Posts Across Channels
Manually checking posts and comments across forums and media from Viewing scattered feedback organized by topic in one place to
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UI and Screen Operation Automation
Manually entering inputs and clicking buttons in sequence from Automatically operating the interface according to predefined steps to
Wired into our own company first.
This is not work we were commissioned to build, but a system we made to run our own company and use every day. Mixed with client cases it would read as a track record, so we keep it apart. When automation fails, the screen still looks fine — that is why a device meant for others goes into our own systems first and runs there daily.
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Cut tax invoice issuance from a full day for one person to one hour
Every morning, it reads the settlement ledgers that 26 vendors send by email on its own and builds the register of who should be invoiced and for how much. Opening each email, downloading attachments, and transcribing amounts by hand are gone — the only human step left is pressing the issue button.
From checking settlement ledgers to the tax invoice issuance register One person all day from 1 hour to
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Checks eight sites three times a day to see whether search engines can read them
Checks up to twelve items per site and reports only the results that changed from yesterday. Cut required-item failures from 24 to 16, and the remaining 16 are tallied by a tool, not a person.
Readable by search engines — unmet items 24 items (2026-08-12) from 16 items (2026-08-23) to
What these systems do, and at what time of day, Internal operations automation is collected into a timetable.
Not being listed doesn't mean we don't do it.
The above covers only what we can make public. Tell us about the problem you're facing, and we will first check whether we have handled something similar.
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