posted: 08-Jul-2026 & updated: 20-Jul-2026

Program

Mentors

Sunghee Yun / Eunkwang Joo / Minha Hwang / Yerang Huh / Chanik Park / Gordon Park

Mentor Responsibilities

  • Guide assigned teams through the team-project track: Problem Definition → Solution Design → Validation → Final Pitch.
  • Attend two in-person sessions: Sat Jul 11, 1:30–3:30 pm (guidance) and Fri Jul 17, 8:00–10:00 pm (Final Pitch prep).
  • Maintain light asynchronous communication with assigned teams between the two sessions.

Load Summary

Mentor Teams Team IDs
Sunghee Yun 2 MP6, GT1
Minha Hwang 2 MP1, MT2
Gordon Park 2 MP3, MP5
Chanik Park 2 MP2, GT2
Eunkwang Joo 3 MT3, MT4, MT5
Yerang Huh 2 MT1, MP4

Mentor Assignments

Assignments pair each team’s core technology with the mentor whose expertise most accelerates it. Team IDs follow the Student Team Composition sheet (MP = individual founder, MT / GT = team).

   
Confirmed mentors 6 (incl. Sunghee Yun as head mentor)
Student teams 13 (6 individual, 7 team)
Load 2 teams per mentor (only Eunkwang Joo carries 3)
Touchpoint 1 Sat 11-Jul-2026, 1:30–3:30 pm — team-project guidance
Touchpoint 2 Fri 17-Jul-2026, 8:00–10:00 pm — Final Pitch preparation
Between sessions Light async communication with assigned teams

Sunghee Yun · 2 teams

Head Mentor (floats across all teams) — Co-Founder & CTO, Erudio Bio · Chair, Silicon Valley AI Nexus

Focus: Convex Optimization, AI/LLM & GenAI strategy, biotech, molecular dynamic (MD) simulation, personalization/recommendation (@ Amazon), entrepreneurship

   
Team Members Startup Idea Why this mentor
MP6 최은우 (컴퓨터공학부) Re:View — Slide–transcript alignment multimodal learning platform Multimodal LLM application; benefits from foundation-model + product framing
GT1 박서연 (국악과) · Wang Melody (경영학과) Casper — AI case-interview simulation & career platform LLM reasoning + edtech; strategic mentoring on defensibility and market

Minha Hwang · 2 teams

Principal Applied Scientist, Microsoft AI · Angel Investor

Focus: LLM / agentic AI / AI search / evaluation, plus recommendation, pricing & assortment (marketing-science PhD)

Team Members Startup Idea Why this mentor
MP1 김대현 (재료공학부) Jungbi Banjang (정비반장) — Ontology & LLM urban-redevelopment automation B2B SaaS Enterprise LLM + knowledge/ontology system — core Microsoft AI territory
MT2 우승연 (기계공학부) · 최재웅 (기계공학부) PICKIT — NL multi-channel e-commerce OMS (orders, inventory, demand forecast) Assortment / e-commerce / demand forecasting — his marketing-science bullseye

Gordon Park · 2 teams

Neuroscientist & CEO, PathoBrainSeq · BioAI

Focus: Neuroscience, bio/medical AI, biological image & material analysis

Team Members Startup Idea Why this mentor
MP3 박도현 (기계공학부) Micro AI Analyzer — DL classification of microglial (HMC3) inflammation states Microglial neuroinflammation is dead-center of his neuroscience expertise
MP5 허도원 (전기정보공학부) Seaweed Processing & Distribution — CV + domain AI for material processing & distribution Vision-based biological-material analysis parallels his bio-image classification work

Chanik Park · 2 teams

Chief Commercial Officer, MangoBoost · ex-Samsung Semiconductor EVP

Focus: Systems, semiconductor/manufacturing, edge/AI infrastructure, and commercial / go-to-market (CCO)

Team Members Startup Idea Why this mentor
MP2 민승희 (항공우주공학과) CMYWB 5-Channel 3D Printer — AI-CFD static-mixing nozzle for full-color FDM Manufacturing + systems/process optimization — his hardware-systems core
GT2 김준휘 (기계공학부) · 오지승 (자유전공학부) Kandid Spot — Korea travel local-recommendation app Consumer marketplace; benefits from go-to-market / commercialization coaching (CCO lens)

Eunkwang Joo · 3 teams

CEO, WASD3R · AI-Native Builder, SFvibe · ex-Nextdoor · Mentor, SW Maestro & Berkeley SkyDeck

Focus: AI-native full-stack building, consumer & mobile products, rapid MVP/prototyping, 0-to-1 founder mentoring

Team Members Startup Idea Why this mentor
MT3 강채은 (기계공학부) · 김산 (전기정보공학부) · 안성준 (건축학과) New venture — item TBD (Mech / EE / Arch) Serial-founder builder to guide ideation to MVP for a team still choosing its idea
MT4 양승민 (기계공학부) · 허준영 (기계공학부) · 최인식 (기계공학부) New venture — item TBD (Mech x3) Same 0-to-1 need; hands-on shipping experience to move fast from concept to demo
MT5 권성안 (산업공학과) · 서준빈 (건설환경공학부) · 안준영 (기계공학부) New venture — item TBD (Ind Eng / Civil / Mech) Ideation-to-prototype coaching, drawing on his SW Maestro / SkyDeck mentoring

Yerang Huh · 2 teams

Sr. Director, View, Inc. · Co-Founder, NextEPC

Focus: IoT, embedded software, 4G/5G connectivity, smart-building systems; founder-journey coaching

Team Members Startup Idea Why this mentor
MT1 윤대원 (건축학과) · 채민규 (화학생물공학부) Lymo AI — AIoT autonomous solar / blind control for glass façades Smart-building AIoT control is literally his day job at View Connect
MP4 이석준 (항공우주공학과) Hybrid Rover — EDF jet-vane propulsion + 4WD for public-safety operations Embedded systems / real-time control fit his engineering depth

Project Guidance — Building Your Pitch

Resources and advice contributed by the mentors to help each team turn its idea into an investor-ready pitch. Work through these alongside the team-project steps in the Schedule below.

Start with the IR Pitching Preparation Guide — deck structure, expected questions, and how you will be evaluated.

1. Define the Problem — the 7 Steps of Problem Solving

Contributed by Minha Hwang

The structured problem-solving method Minha learned as a McKinsey consultant. Following each step carries you from problem definition through to an execution plan and real results — a direct extension of the Step 1 (Problem Definition) session.

2. Build the Deck — Y Combinator–Style Template

Contributed by Gordon Park

Simple and Clean Investor Deck Presentation

A pitch deck template organized to the Y Combinator deck standard, covering the canonical Silicon Valley IR structure:

Executive Summary → Product → Business Model → Target Market → Competitive Advantage → Team → Financials → The Ask

How to use it. Treat filling in this deck as the work of organizing your business item — do the market research as you go, rather than writing slides at the end. The point is not to produce a presentation; it is that by working through it, the idea begins to take the shape of a company.

Follow the structure, but customize freely to fit your team’s item. It is a scaffold, not a script.

3. Review & Critique the Deck — Multi-Agent Skills

Contributed by Minha Hwang

Two multi-agent workflows that review and critique a pitch, built to run on Claude Code (or any coding-agent CLI with multi-agent support). Each comes with an installation and usage guide, including the prompts to use.

Skill Use when
Multi-Agent Pitch Deck Review Your only input is the pitch deck
Multi-Agent Due Diligence You also have email, financial projections, cap table, offering documents, or DD reports — a 3-phase / 6-agent architecture

Why this matters. These were built as an investor’s tool — Minha’s own custom workflow for angel investing. Founders can therefore run them 역지사지: turn the investor’s critique on yourself, and harden your deck, cap table, and financial projections before anyone else sees them.

4. Beyond Prompt Engineering

Contributed by Minha Hwang

Seminar material covering (1) Intro to LLM and Agentic AI, (2) AI and Learning, (3) Vibe Coding → Agentic Engineering, and (4) Agentic Research. Portions of this preview his Jul 15 lecture and demo (see Day 6).

5. Going Further — Agentic AI Summit 2026

Suggested by Minha Hwang for teams building on agentic AI

Agentic AI Summit 2026 — Aug 1–2, 2026, UC Berkeley (hosted by Berkeley RDI). Online streaming is available via a free Virtual Pass, so you can attend from Korea after the program ends.

Schedule

Day-by-day program with session details. Slides, materials, and notes are posted here as the program progresses.

Venue note: All sessions originally scheduled at the KOTRA Silicon Valley building (KIC SV) are held at the Ranch instead. The program content, schedule, and instructors are unchanged.

Day 1 · Fri 10-Jul-2026 — Arrival & Moloco

Travel: Air Premia 111, Incheon 19:15 → San Francisco 13:00 (11 h) · date line crossed

   
2:15 pm Arrival at SFO — immigration & customs
3:15 pm Meet guide
4pm–5pm [Company Visit 1] Moloco Inc
Evening Dinner, then transfer to the Ranch & check-in

Day 2 · Sat 11-Jul-2026 — Kickoff & Team Project Step 1

   
8am Breakfast at the Ranch
9am–12pm [Lecture 1 & 2] Program Kickoff & Orientation
12pm–1pm Lunch
1:30pm–3:30pm Team Project — Step 1: Problem Definition (mentors present)
4pm-5pm [Lecture] Sehyuk Park, Co-CEO, Moloco
5pm–9pm Welcome Dinner / Happy Hour

[Lecture 1 & 2] Program Kickoff & Orientation

Speaker: Sunghee Yun / Time: 9am–12pm / Venue: Ranch

  • Lecture 1 — Learning from Silicon Valley: Technology, Entrepreneurship, and a Global Mindset – Presentation Slides
  • Lecture 2 — The AI Inflection Point: Where AI Technology, Economic Transformation, and Human Questions Collide in the Age of Agentic Intelligence – Presentation Slides

Team Project — Step 1: Problem Definition

Lead: Sunghee Yun · All mentors present / Time: 1:30pm–3:30pm / Venue: Ranch

  • Derive problems from company visits and lectures
  • Define the “Real Problem” — sharpen the pain point
  • Each team is paired with its assigned mentor (see Mentor Assignments above)

Welcome Dinner (Happy Hour)

Time: 5:30pm–10pm / Venue: Ranch

Joined by experts and alumni from Silicon Valley AI Nexus.

Day 3 · Sun 12-Jul-2026 — Startup Fundamentals

   
9am–12pm [Lecture 3 & 4] The Nine Vital Signs of Startup Success
2pm–5pm [Mentoring 1 & 2] Startup Fundamentals

[Lecture 3 & 4] The Nine Vital Signs of Startup Success

Speaker: Jeff Wallace Time: 9:00 am–12:00 pm · Venue: Ranch

Silicon Valley’s “elephant in the room” is venture capital’s 90%+ portfolio failure rate — driven largely by team and product–market fit. This interactive workshop reviews the Nine Vital Signs used to evaluate startups, surfaces the perception gap between founders’ views and reality via a live market-readiness survey, and closes with a customer-discovery toolset.

[Mentoring 1 & 2] Startup Fundamentals

Speaker: Douglas Park Time: 2:00–5:00 pm · Venue: Ranch

  • Why some startups succeed and most fail
  • Execution and evidence-based entrepreneurship
  • Founders and teams: the people behind the technology
  • Solving a real problem: customer discovery, MVPs, and product–market fit
  • Competing in the AI economy
  • Case studies of startup success and failure

Day 4 · Mon 13-Jul-2026 — Sendbird & Advisory Boards

   
9am–10am Visit Google @ Mountain View
11am–12:30pm [Company Visit 2] Sendbird Inc
2pm–5pm [Mentoring 3 & 4] Building an All-Star Advisory Board
6pm–8pm Dinner, then team project work
8pm–10pm Team Project — Step 2: Solution Design

[Company Visit 2] Sendbird Inc

Host: John S. Kim (김동신), Co-Founder & CEO Time: 11:00 am–12:30 pm · Venue: Sendbird

A leading Korean-founded unicorn — company introduction and Q&A.

[Mentoring 3 & 4] Building an All-Star Advisory Board

Speaker: Jeff Wallace Time: 2:00–5:00 pm · Venue: Ranch

How early-stage founders build and leverage a high-impact advisory board to accelerate growth and improve investor readiness: how an advisory board differs from a board of directors, choosing the right industry leaders, onboarding and compensating advisors, and integrating them effectively. Real-world examples from Dyson, The North Face, and U.S. Customs, closing with advisory-board KPIs and a nine-part Investor Readiness Assessment.

Team Project — Step 2: Solution Design

Lead: Sunghee Yun Time: 8:00–10:00 pm · Venue: Ranch

  • Architecting the AI solution
  • Model architecture · Data strategy · System pipeline
  • Competitive service analysis (benchmarking)

Day 5 · Tue 14-Jul-2026 — Grumatic & Validation

   
9:00 am–12:00 pm [Company Visit 3] Grumatic Inc
Afternoon Independent research
8:00–10:00 pm Team Project — Step 3: Validation

[Company Visit 3] Grumatic Inc

Host: Eric Kim Time: 9:00 am–12:00 pm · Venue: Ranch

Building and scaling an AI-native enterprise software company:

  • The Grumatic founding story and entrepreneurial journey
  • Identifying enterprise pain points and building solutions
  • AI-driven innovation in FinOps and enterprise operations
  • Product development and go-to-market strategy
  • Building and scaling a B2B SaaS company
  • Leadership lessons from startup growth
  • The future of AI in enterprise software
  • Internship and career opportunities in AI and enterprise technology
  • Q&A

Team Project — Step 3: Validation

Lead: Sunghee Yun Time: 8:00–10:00 pm · Venue: Ranch

Steps 1–2 were about falling in love with your problem and designing a solution. Tonight you switch sides and try to kill your own idea — before the market, or an investor, does it for you. Validation is where a nice idea starts (or fails) to become a company.

1. Market validation — is the demand real?

  • A problem people have is not the same as a problem people will pay to solve — painkiller, not vitamin.
  • Talk to real potential users, not imagined ones. Even 5–10 conversations beat zero.
  • Look for evidence the pain already exists: people hacking together spreadsheets, manual workarounds, paying for something worse.
  • Willingness to pay — would they reach for a credit card, or just say “cool”?
  • Size it bottom-up (users × price), not top-down. “1% of a huge market” is a red flag, not a plan.

2. Technical feasibility — can you actually build it?

  • Name your single hardest technical risk out loud — then attack that first.
  • Separate a weekend hack from a PhD thesis. Be honest about which yours is.
  • For AI products: is your edge the model, the data, or the workflow? Models commoditize fast; data and workflow last longer.
  • Data strategy — do you have, or can you realistically get, the data you need?
  • What can you fake or prototype now (Wizard-of-Oz) vs. what truly needs to be engineered?

3. Differentiation — why you, why now?

  • Who else solves this, including the “do nothing” option and incumbents?
  • What makes it hard to copy six months after you launch?
  • Why is this possible now — what changed in technology, cost, or behavior?

4. Risk analysis — what could go wrong? (esp. AI safety)

  • What happens when your AI is wrong? What does one mistake cost the user?
  • Consider hallucination, bias, privacy, and misuse — sharper the more user-facing or high-stakes the domain.
  • Flag regulatory or ethical exposure early. (This feeds straight into the Day 7 AI Safety & Alignment lecture.)

What each team leaves with tonight

  • Your single biggest assumption — and how you’d test it this week.
  • One sentence: “For this to be a large company, __ has to be true.”
  • Findings go directly into the deck’s Market, Competitive Advantage, and Traction slides.

Day 6 · Wed 15-Jul-2026 — Commercialization & Foundation Models

   
10:30am–12pm [Mentoring 5 & 6] Tech Commercialization
1:00–4:00 pm [Lecture 5 & 6] LLMs & Foundation Models
8:00–10:00 pm Pop-up Seminar 1

[Mentoring 5 & 6] Tech Commercialization

Speaker: Geunhwi (Kenny) Lim, PhD Time: 10:30am–12pm · Venue: Ranch

Turning breakthrough technologies into scalable businesses.

[Lecture 5 & 6] LLMs & Foundation Models

Speaker: Minha Hwang, PhD Time: 1:00–4:00 pm · Venue: Ranch

Architecture, scaling, and real-world applications.

Pop-up Seminar 1 — Change Driven by AI, Seen from Silicon Valley

Speaker: Keeyong Han, Adjunct Professor Time: 8:00–10:00 pm · Venue: Ranch

Reflections on the changes underway in Silicon Valley, drawn from advising companies, angel investing, and accelerator mentoring — and what perspective on one’s career matters most in a world being reshaped this way.

Day 7 · Thu 16-Jul-2026 — AI Safety & SVC

   
9:00 am–12:00 pm [Lecture 7 & 8] AI Safety & Alignment
4:00–5:30 pm [Company Visit 4] Startup Venture Campus (SVC)
8:00–10:00 pm Pop-up Seminar 2

[Lecture 7 & 8] AI Safety & Alignment

Speaker: Eun-Jin Jung, Professor Time: 9:00 am–12:00 pm · Venue: Ranch

Building trustworthy AI systems in the real world.

[Company Visit 4] Startup Venture Campus (SVC)

Hosts: Taewoong Ha · Pitch feedback by Will Decker Time: 4:00–5:30 pm · Venue: Startup Venture Campus

SVC introduction, plus 1-minute pitches and feedback. SVC supports Korean startups entering the U.S. market on behalf of agencies under the Ministry of SMEs and Startups:

  1. Korea Venture Investment Corp. (KVIC)
  2. Korea Technology Finance Corp. (KOTEC)
  3. Korea SMEs and Startups Agency (KOSME)
  4. Korea Institute of Startup & Entrepreneurship Development (KISED)

Pop-up Seminar 2 — What It Takes for a Korean Founder to Succeed in Silicon Valley

Speaker: Keeyong Han, Adjunct Professor Time: 8:00–10:00 pm · Venue: Ranch

Lessons on what successful founders look like, drawn from 7 startups (including his own), 18 angel investments, and advising 20+ companies — with advice for aspiring founders targeting the U.S., and how to choose a topic and build a team in the age of AI.

Day 8 · Fri 17-Jul-2026 — Altos Ventures, Bear Robotics & Final Pitch Prep

Joined by Dean Young-Oh Kim (김영오) for the company visits.

   
10:00 am–12:00 pm [Company Visit 5] Altos Ventures
2:30–4:00 pm [Company Visit 6] Bear Robotics
8:00–10:00 pm Team Project — Step 4: Final Pitch Preparation (mentors present)

[Company Visit 5] Altos Ventures

Host: Ho Nam Time: 10:00 am–12:00 pm · Venue: Altos Ventures

Introduction and pitch presentations.

[Company Visit 6] Bear Robotics

Host: Soojin Shim Time: 2:30–4:00 pm · Venue: Bear Robotics

Company introduction and internship opportunities.

Team Project — Step 4: Final Pitch Preparation

Lead: Sunghee Yun · All mentors present Time: 8:00–10:00 pm · Venue: Ranch

  • Build the pitch deck (10–15 slides)
  • Demo or prototype where possible

See IR Pitching Preparation Guide for deck structure, expected questions, and the evaluation criteria.

Day 9 · Sat 18-Jul-2026 — AI Business Transformation

   
9:00 am–12:00 pm [Lecture 9 & 10] AI Business Transformation
1:30–6:00 pm Final Pitch preparation

[Lecture 9 & 10] AI Business Transformation

Speaker: Jorge Taborga, PhD Time: 9:00 am–12:00 pm · Venue: Ranch

  1. AI business transformation overview
  2. AI impact differences: coding copilot, AI-enabled, and agentic AI
  3. Agentic AI in business transformation
  4. Product development lifecycle differences for AI
  5. Best industry opportunities — manufacturing, healthcare delivery, fintech
  6. Q&A

Day 10 · Sun 19-Jul-2026 — Final Pitch & Awards

   
9:00 am–12:00 pm Final Pitch preparation
2:00–4:00 pm Final Pitch Presentations · Closing Session & Awards Ceremony
5:00–9:00 pm Farewell Dinner & Networking Mixer

Final Pitch Presentations

Time: 2:00–4:00 pm · Venue: Ranch Judges: Silicon Valley angel investors, Keeyong Han, Minha Hwang, and Douglas Park.

5-minute pitch + 5-minute Q&A per team, followed by the Closing Session and Awards Ceremony.

Farewell Dinner & Networking Mixer

Time: 5:00–9:00 pm · Venue: Ranch With mentors and expert guests.

Day 11 · Mon 20-Jul-2026 — Departure

   
8:00 am Breakfast at the Ranch, then depart
9:00 am–2:00 pm Free exploration of San Francisco by team
5:00 pm Air Premia 112 departs SFO (17:00–21:40, 12 h 40 m)
8:10 pm (Tue) Arrival at Incheon