Race Capital
VC Fund
Hayward, United States
Race Capital is an early-stage venture fund focused on all things infrastructure across Web2 and Web3. They are early investors in Databricks, Vectara, Zeet, RapidAPI, Agora.io, etc and have built a top notch team spanning across networks in terms of industry background and operating experience.
- Total investments:
- 85
- Last investment:
- Lead investor:
- 56%
- Fund size:
- $180M
- Last fund:
Last updated:
For AI agents: llms.txt
Industries Race Capital invests in
Stages Race Capital invests in
Countries Race Capital invests in
Round sizes
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Round size
- Seed
- $3.5M–$21M
- Pre-Seed
- $1.5M–$3.1M
- Series A
- $8.2M–$400M
Investment Focus
Industry
- Software 18 (21%)
- Artificial Intelligence 16 (19%)
- Information Technology 10 (12%)
- Machine Learning 9 (11%)
- SaaS 7 (8%)
Stage
- Seed 37 (44%)
- Pre-Seed 11 (13%)
- Series A 8 (9%)
- Series B 3 (4%)
- Venture - Series Unknown 2 (2%)
Country
- United States 41 (48%)
- United Kingdom 2 (2%)
- Bahamas 1 (1%)
- Estonia 1 (1%)
- Hong Kong 1 (1%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
|
Chris McCann
General Partner
|
General Partner | Total investments: 42 | Find email | |
|
Edith Yeung
General Partner
|
General Partner | Total investments: 51 | Find email | |
|
Phil Chen
General Partner
|
General Partner | Total investments: 15 | Find email | |
|
Richard Lam
Partner
|
Partner | Total investments: 0 | Find email | |
|
Alfred Chuang
General Partner
|
General Partner | Total investments: 27 | Find email |
Investments
| Company | Description | Round | Links |
|---|---|---|---|
|
|
SkyPilot is an open-source framework for running AI and batch workloads on any infra. | $20M / Seed / Jul 21, 2026 | |
|
|
Architect provide frontier AI lab for chip design. | $24M / Seed / Jun 18, 2026 | |
|
|
LineWise is a AI Engineer troubleshoot system that helps manufacturers maximize production uptime. | $6M / Seed / Jun 03, 2026 | |
|
|
Opaque is a startup that helps organizations analyze encrypted data in the cloud. Opaque Systems offers a service for secure data analytics and machine learning in the cloud. Opaque commercializes the open source MC2 Platform, which leverages a novel combination of two key technologies layered on top of state-of-the-art cloud security—securehardware enclaves and cryptographic fortification. | $24M / Series B / Feb 12, 2026 | |
|
Moody Pines
|
Moodypines operates as a voice AI agency that works with voice talents, technology partners, and agents to support voice artificial intelligence projects. The platform provides access to voice talent networks and voice datasets for use in AI applications. It also offers services related to licensing corpora and designing custom voice AI datasetsfor various voice technology needs. | $1.8M / Pre-Seed / Jan 16, 2026 | |
|
|
Inversion is a technology-first investment company that acquires and transforms legacy businesses with blockchain technology. | $26.5M / Seed / Sep 08, 2025 | |
|
|
DataHive delivers for AI companies hard-to-collect web data - collected, labeled, and ready for model training. If you are building in AI and need data for model training (text or multi-modal), check us out. We will deliver an initial pilot dataset for free - to ensure it is exactly what you need. Learn more and request your pilot dataset atwww.DataHive.ai | $3.5M / Seed / Sep 01, 2025 | |
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|
AirMDR uses an AI-powered virtual security analyst for investigating threats, triaging incidents, and executing responses. This innovation significantly enhances the speed and precision of incident investigation and response, while simultaneously reducing costs and alleviating the workload of human security analysts. With a primary focus on an AIvirtual analyst, customers elevate their threat detection and intelligence capabilities, ensuring uninterrupted 24/7 incident response. | $10.5M / Seed / Jul 09, 2025 | |
|
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AirMDR uses an AI-powered virtual security analyst for investigating threats, triaging incidents, and executing responses. This innovation significantly enhances the speed and precision of incident investigation and response, while simultaneously reducing costs and alleviating the workload of human security analysts. With a primary focus on an AIvirtual analyst, customers elevate their threat detection and intelligence capabilities, ensuring uninterrupted 24/7 incident response. | $10.5M / Seed / Jul 09, 2025 | |
|
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Unbound enables employees to securely utilize AI tools in their work while safeguarding company secrets. | $4M / Seed / May 29, 2025 | |
| See all 85 investments → | |||
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FAQ
What does Race Capital invest in?
Race Capital invests primarily in Software, Artificial Intelligence and Information Technology startups, most often at Seed and Pre-Seed stage. Most of the 85 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What is Race Capital's check size?
Race Capital typically joins rounds of $3.5M–$21M at Seed, $1.5M–$3.1M at Pre-Seed and $8.2M–$400M at Series A. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Race Capital participates in.
How do I contact Race Capital?
Public channels for Race Capital include LinkedIn, X (Twitter) and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
Who are the partners at Race Capital?
The team at Race Capital includes Chris McCann (General Partner), Edith Yeung (General Partner) and Phil Chen (General Partner). The Team section lists each member with their title, investment count and links.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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