Stephen Wong

Managing Partner, Valley Capital Partners; Board Member, Stanford Law School Venture Fund; Board of Directors (INED), Techtronic Industries (0669.HK); Former Chairman of Hong Kong Investment Banking, Goldman Sachs

📍 Hong Kong🔄 Updated October 2026💼 9 investments📅 2 years investing🗓 Last invested Aug 2026
VC🌍 Hong KongInvested this quarter
9
Total investments
4
Early stage
1
Mid stage
0
Late stage
2y
Years active

Portfolio

9 investments · sorted by recency
All investments
Early stage
Mid stage
Late stage
Seed Investor
Aug 2026
ArchiBoost AI is an AI-powered co-pilot for architects, engineers, developers, and general contractors. We help teams navigate complex building codes, activate institutional knowledge, and automatically review drawing sets for coordination risks — reducing RFIs, rework, and permitting delays. Built by AEC professionals, for AEC professionals.
Seed Investor
Mar 2026
Better customer outcomes start with GTM teams seeing the same picture. But the signals behind that picture are often scattered across people, systems, and AI agents, creating the Context Gap. SciFin’s Context Convergence brings those signals together into a shared understanding, and puts it to work, giving your GTM team the confidence to execute flawlessly.
Seed Investor
Jan 2026
Tensormesh is an AI inference optimization company that never charges you twice for cached tokens, making AI applications faster and dramatically cheaper to run anywhere. Created on leading open-source frameworks, AI teams building agents and LLM applications deploy in minutes with full observability and granular workload control.
Seed Investor
Nov 2025
Upriver is an intelligent agent system that maximizes data engineering output at enterprise scale. Big Data is Plagued by Small Problems Despite massive investments in infrastructure, most data sits idle because engineering time is swallowed up by routine firefighting and low-value fixes instead of building the pipelines that unlock real business value. Using AI tools for data engineering feels like autocomplete with a fancy title. It spits out SQL, glues together a pipeline, and maybe even runs a test or two. But it doesnt think like a data engineer. Now, it can.
Series A Investor
Jul 2025
Our efficient systems-level AI infrastructure enables a tenfold improvement in both training and inferencing of the largest generative models. Leveraging these capabilities, Decart is able to train its own foundational generative interactive models and make it accessible for everyone in real-time.
Investor (Pre-seed and Seed), Advisory Board Member
Sep 2024
For organizations that want to be resilient and ahead of the curve in the post-AI world, Factify is the first Document-as-Infrastructure platform, turning static documents into governed, intelligent assets that carry their own access control, version history, and automation.
 Unlike PDFs, unprotected, untraceable, and blind to AI - Factify upgrades every document, establishing the necessary infrastructure for secure, AI-ready enterprises.
Investor, Series A
Sep 2024
Were now part of Cato Networks! Were as committed as ever to helping organizations secure their AI transformation by securing and governing every AI interaction, from 3rd party AI usage to homegrown AI-powered applications and agents. AI Security is available as part of the Cato Platform as either a stand-alone offering or in combination with other SASE capabilities. For all the latest - make sure to follow @cato-networks on LinkedIn or visit www.catonetworks.com
Investor, Series A
Sep 2024
RapidCanvas is the trusted partner for transforming your business with AI, pioneering the only hybrid enterprise AI platform that combines autonomous agents with human experts. We make enterprise-grade AI accessible to all organizations, helping them unlock the hidden value in their data without requiring the technical expertise or massive investment it used to take. Our unique approach delivers measurable business outcomes 10X faster at 80% lower cost compared to traditional solutions, turning what was once impossible into practical, everyday reality. RapidCanvas works with industry leaders in manufacturing, retail and consumer goods, financial services, and infrastructure to drive real business transformation over agentic AI hype. Recognized as a top 5 Data Science and Machine Learning platform by independent research firm G2 for customer satisfaction. Visit rapidcanvas.ai to learn more or connect with us on YouTube, Instagram, Facebook, and X.
Experience · 13 entries
All (13)
Investments (9)
2026
Seed Investor
Aug 2026
ArchiBoost AI is an AI-powered co-pilot for architects, engineers, developers, and general contractors. We help teams navigate complex building codes, activate institutional knowledge, and automatically review drawing sets for coordination risks — reducing RFIs, rework, and permitting delays. Built by AEC professionals, for AEC professionals.
Seed Investor
Mar 2026
Better customer outcomes start with GTM teams seeing the same picture. But the signals behind that picture are often scattered across people, systems, and AI agents, creating the Context Gap. SciFin’s Context Convergence brings those signals together into a shared understanding, and puts it to work, giving your GTM team the confidence to execute flawlessly.
Seed Investor
Jan 2026
Tensormesh is an AI inference optimization company that never charges you twice for cached tokens, making AI applications faster and dramatically cheaper to run anywhere. Created on leading open-source frameworks, AI teams building agents and LLM applications deploy in minutes with full observability and granular workload control.
2025
Seed Investor
Nov 2025
Upriver is an intelligent agent system that maximizes data engineering output at enterprise scale. Big Data is Plagued by Small Problems Despite massive investments in infrastructure, most data sits idle because engineering time is swallowed up by routine firefighting and low-value fixes instead of building the pipelines that unlock real business value. Using AI tools for data engineering feels like autocomplete with a fancy title. It spits out SQL, glues together a pipeline, and maybe even runs a test or two. But it doesnt think like a data engineer. Now, it can.
Show all 13 entries ↓
Investment activity
2024–2026 · 9 investments
202432025220264
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