Vietnam Blockchain Corporation (VBC) is a Ho Chi Minh City-based science and technology company founded in 2016 that builds and deploys practical blockchain solutions for enterprises and government. Its flagship platform, Agridential.vn, brings digital traceability and supply-chain transparency to agriculture, while its Blockchain-as-a-Service offering serves manufacturing, logistics, e-commerce, fintech, and smart-city projects. VBC positions itself as a hub for blockchain expertise in Southeast Asia, with more than 50 projects and 180+ partners and customers.
ELSA (English Language Speech Assistant) is an AI-powered English pronunciation and speaking coach built on proprietary speech-recognition technology trained on non-native accents. Founded in 2015 by Vu Van and speech scientist Xavier Anguera, the app gives learners real-time, phoneme-level feedback on how they actually sound - not just what they type. It has grown to tens of millions of users across 100+ countries and expanded from a consumer app into ELSA Business, ELSA Schools, an API, and a generative-AI conversation tool called ELSA AI Tutor.
Qlay is a San Francisco-based AI hiring company that sources, vets, and shortlists remote engineering talent - notably from Vietnam and Africa - and pairs it with an AI Proctor that catches AI-assisted cheating during interviews and coding tests. Using eye-gaze tracking, speech analysis, a phone-as-second-camera setup, and process monitoring, Qlay aims to make technical hiring both fast (shortlists in about a week) and trustworthy in an era when candidates can quietly lean on tools like ChatGPT.
Everest Education (E2) is a Ho Chi Minh City-based edtech company founded in 2011 that prepares Vietnamese students from Grade 1 to Grade 12 for international academic environments. Combining its own classroom-management software with in-person learning centers, it offers Math and English enrichment, test preparation, private tutoring, and college-admissions consulting through a blended-learning model. The company has recorded more than 12,000 enrollments and raised roughly $5.4M, including a $4M Series B led by Hendale Capital.
Don Le is the co-founder and CEO of Everest Education (E2), a Ho Chi Minh City-based edtech company that brings blended Math and English enrichment, test prep, and college admissions help to students from Grade 1 to 12. A Stanford economics graduate who started out at Bain & Company and Red Mountain Capital, he moved to Vietnam in 2007 and helped build finance, technology, and consumer businesses, including Highlands Coffee and Pho 24 operator Viet Thai International, before turning to education. Everest has raised about $5.4M, capped by a $4M Series B in 2019, and in 2022 launched a joint venture with Spark Education to localize world-class online learning for Vietnam.
Dr. Christopher Cuong T. Nguyen is CEO and Co-Founder of Aitomatic, a Silicon Valley-based Industrial AI company advancing what he calls 'Knowledge-First AI' - the conviction that decades of human domain expertise must be encoded alongside data, not replaced by it. A Stanford PhD and UC Berkeley summa cum laude graduate, his four-decade arc runs from building Intel's first flash memory transistors to launching Google Apps as founding Engineering Director, co-founding HKUST's Computer Engineering program, and helping connect Vietnam to the internet. Today he leads Aitomatic in deploying Small Specialist Agents for semiconductor, energy, and manufacturing industries, and sits on the Steering Committee of The AI Alliance.

Vietnamese developer and entrepreneur Trung Nguyen is the CEO and co-founder of Sky Mavis, the studio behind Axie Infinity, the blockchain game that turned NFT pets into a global play-to-earn phenomenon. He previously co-founded Lozi and worked at Anduin Transactions before betting on CryptoKitties-inspired game design in 2017.

Chip Huyen is a Vietnamese-American computer scientist, author, and educator who turned a rejection letter from Stanford into a three-year around-the-world journey, two bestselling Vietnamese travel books, and eventually a second application that got her in. She went on to teach at Stanford, build ML infrastructure at NVIDIA and Netflix, co-found Claypot AI, and write two of the most-read technical books on machine learning systems in production - 'Designing Machine Learning Systems' (2022) and 'AI Engineering' (2025). Her newsletter and blog are required reading for anyone building serious AI products.