Business Ideation Dashboard
Latest published ideas that passed validation.
B · 2026-08-30T16:22:40.290939+09:00
Problem: International patient coordinators repeatedly send quotations, test preparation instructions, consent forms, and appointment confirmations through multiple languages and channels. If a patient reads an outdated document or arrives without reviewing required instructions, the hospital must change the schedule and repeat explanations on site.
Solution: The coordinator enters the patient's country and procedure schedule, then uploads approved documents. The portal delivers the latest versions through a hospital-branded link and tracks viewing, signing, and resending in one place. As CRM, email, and WhatsApp delivery histories and document templates accumulate, the portal becomes closely integrated with the hospital's patient handoff process.
Target: 월 외국인환자 30명 이상을 유치하는 국내 안과·피부과·성형외과의 국제진료 코디네이터와 운영팀장
B · 2026-08-30T13:22:01.158639+09:00
Problem: Small and midsize manufacturers supplying large enterprises repeatedly submit energy-use data, raw-material information, and certificates in formats that vary by customer. Sales and quality teams reconcile current figures and expiration dates across Slack and Sheets, forcing them to re-enter the same information into multiple forms while bearing the risk of missed renewals.
Solution: The product maintains a shared environmental-data ledger, lets teams update customer-specific requirements, owners, and certificate expiration dates through Slack, and exports submission packages. As submission and rejection histories accumulate, the business builds a proprietary mapping of each buyer's required fields and accepted evidence.
Target: 대기업 3곳 이상에 납품하는 직원 20~200명 규모 국내 부품 제조사 — 품질보증 책임자와 B2B 영업 담당자
B · 2026-08-30T13:22:01.158639+09:00
Problem: Small vendors deploying AI agents into client workflows must obtain separate customer approval whenever prompts, tool permissions, connected APIs, or operating rules change. Change records and incident impacts remain scattered across Slack conversations, making it difficult to prevent recurrence or determine the scope of responsibility.
Solution: The product records agent versions, connected tools, permissions, and reasons for each change, then manages approval, deployment, and rollback through the customer's Slack workspace while generating a change receipt. As change outcomes and incident data accumulate for each customer, vendors can identify safe configuration baselines and risky combinations of changes.
Target: 5개 이상 고객사에 업무용 AI 에이전트를 구축·운영하는 직원 5~30명 규모 공급사 — 고객성공 리드와 운영 엔지니어
B · 2026-08-29T22:20:41.844274+09:00
Problem: Brand protection teams at small and midsize K-beauty companies manually compile screenshots, prices, seller details, and trademark documents whenever they find a suspicious product on an online marketplace or social commerce platform. When the same seller changes accounts, linking the new case to previous incidents is difficult, resulting in hours of repeated work each week to prepare platform reports.
Solution: Users enter a product URL and authentic SKU through a Chrome extension. The service preserves the listing with a timestamp and hash, then generates platform-specific reporting packages. As cases accumulate, it builds a more detailed brand-specific seller graph linking accounts, contact details, images, and pricing patterns.
Target: 해외 오픈마켓에 입점한 연매출 10억~300억원 K뷰티 브랜드 — 브랜드 보호 담당자와 해외영업 매니저
B · 2026-08-29T19:20:45.285849+09:00
Problem: Safety staff for Korean AI products manage Korean-specific failure cases—such as honorifics, regional context, and discriminatory language—in spreadsheets. When a model or prompt changes, the process of rerunning prior cases and documenting the results is fragmented, making regression risks easy to miss.
Solution: The service organizes an organization's input-output samples and policy criteria into versioned test suites, then records pre- and post-deployment differences and approval evidence in an audit trail. Repeated results and staff risk assessments accumulate into a more specific Korean-language risk baseline for each organization.
Target: 한국어 생성형 AI 기능을 운영하는 직원 10~200명 규모 SaaS — AI 안전 담당자와 제품 QA 리드
A · 2026-08-29T13:20:35.844702+09:00
Problem: Safety managers at chemical and paint-material plants perform recurring inspections of fire doors, exhaust vents, and grounding equipment, but the results are scattered across paper records and photos shared through messaging apps. After an incident or during a regulatory inspection, it is difficult to prove when a specific asset was inspected and what condition it was in.
Solution: Workers scan an asset-specific QR code to record checklists, photos, and remediation deadlines. The service automatically tracks incomplete actions and recurring defects. As inspection histories accumulate, each plant builds data on vulnerable equipment and failure cycles.
Target: 직원 20~200명 규모의 화학·도료·고무 원료공장 — 안전관리자와 공장장
B · 2026-08-29T13:20:35.844702+09:00
Problem: Small chemical plants often manage incoming-material SDS records and physical storage locations in separate files, creating a risk that prohibited material combinations will be placed in the same area. Warehouse staff must manually compare documents with current shelf conditions whenever materials arrive.
Solution: The service registers each material container's barcode, hazard classification, quantity, and storage zone, then immediately flags prohibited combinations and zone-limit violations while maintaining a movement history. Over time, movement, warning, and near-miss records reveal site-specific co-storage risk patterns.
Target: 위험물 SKU 30~500개를 취급하는 중소 화학·도료 제조사 — 자재관리자와 안전관리자
A · 2026-08-29T07:19:34.882598+09:00
Problem: Quality teams at semiconductor equipment and materials suppliers repeatedly repackage certificates, inspection reports, change approvals, and corrective-action records to meet each customer's format. Because document versions and expiration dates are tracked in spreadsheets, missing records may not be discovered until shortly before an audit.
Solution: The service organizes evidence stored in Drive or SharePoint into collections by customer, process, part number, and validity period, then automatically creates submission packages and renewal tasks. It records customer-specific requirements and actual rejection reasons to improve missing-document checks for future submissions.
Target: 파운드리 또는 1차 장비사에 납품하는 10~200인 소재·부품·장비 공급사 — 품질보증 담당자와 공급사 인증 책임자
B · 2026-08-29T01:20:08.396449+09:00
Problem: Training managers at manufacturing suppliers track AI seat assignments, attendance, practical exercises, and workplace adoption cases across multiple spreadsheets. Each week, they must recompile user lists and usage evidence to prepare adoption reports for executives or prime contractors.
Solution: The workspace connects ChatGPT administrator exports, training-attendance CSV files, and Google Sheets assignment trackers to create a single ledger of training, usage, and outcome evidence for each seat. With repeated use, company-specific job structures and evidence formats become embedded in the workflow, reducing preparation time for subsequent training cohorts.
Target: AI 좌석 20~300개를 운영하는 제조·물류 협력사 — 교육 담당자, AX PM
C · 2026-08-28T19:19:58.649623+09:00
Problem: Small battery research teams store cell compositions, process conditions, equipment CSV files, photos, and failure causes across separate folders and spreadsheets. Reproducing a test condition or locating a past failed experiment requires manually reconciling records from multiple researchers.
Solution: The service links formulations, process conditions, equipment outputs, and observation records by test ID, then generates condition-based performance comparisons and reproducibility packages. As test data accumulates, teams build internal benchmarks and failure-pattern data for specific material and process combinations.
Target: 전고체 셀을 월 20건 이상 시험하는 대학 연구실·소재 스타트업 — 배터리 시험 엔지니어와 연구책임자