Dimension Capital
VC Fund
New York, United States
Dimension Capital is a VC fund in New York focused on Biotechnology and Software. Dimension is a first-of-its-kind firm partnering with founders at the interface of technology and life sciences to transform the trajectory of life on earth. The firm partners with leading entrepreneurs to build the next generation of tech and bio businesses. The company was founded by Nan Li, Adam Goulburn, and Zavain Dar in March 2022 and isbased in New York, NY and San Francisco, CA.
- Total investments:
- 28
- Last investment:
- Lead investor:
- 54%
- Fund size:
- $800M
- Last fund:
Last updated:
For AI agents: llms.txt
Industries Dimension Capital invests in
Stages Dimension Capital invests in
Countries Dimension Capital invests in
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Investment Focus
Industry
- Biotechnology 12 (43%)
- Software 5 (18%)
- Artificial Intelligence 5 (18%)
- Health Care 4 (14%)
- Medical 3 (11%)
Stage
- Seed 9 (32%)
- Series A 5 (18%)
- Series B 4 (14%)
- Venture - Series Unknown 3 (11%)
- Series D 2 (7%)
Country
- United States 15 (54%)
- Canada 2 (7%)
- Japan 1 (4%)
- Germany 1 (4%)
- United Kingdom 1 (4%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
Adam Goulburn
Founder & Managing Partner
|
Founder & Managing Partner | Total investments: 19 | Find email | |
Michele Vlcek
Operations Manager
|
Operations Manager | Total investments: 0 | Find email | |
Nan Li
Co-Founder
|
Co-Founder | Total investments: 17 | Find email |
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| Ridge Bio platform uses proprietary machine learning models built on massive cell-free datasets to design precision enzymes | $13M / Seed / Sep 09, 2026 | ||
| Lanyon AI is a fundamental research lab focused on formal verification and scientific computing. | $10.6M / Seed / Aug 17, 2026 | ||
| Earendil Labs is a biotechnology company developing technology platforms that transform therapeutic protein discovery. | $787M / Venture - Series Unknown / Mar 20, 2026 | ||
| Congruence Therapeutics operates as a biotechnology company working at the interface of computational and experimental drug discovery to design novel small molecules for diseases of protein misfolding. | $39.5M / Venture - Series Unknown / Mar 19, 2026 | ||
| Tamarind Bio is a software company that help the scientists and researchers using computational tools in biology. | $13.6M / Series A / Feb 24, 2026 | ||
| Automata is a deep-tech company that creates products that empower people to automate physical work. The company's product, Eva, is a lightweight and affordable robot arm built for professionals in a production line, in a lab, a home workshop or even in a classroom. People don't need to be technical experts to communicate with robots. Theweb-based software platform can be programmed by anyone, anywhere, any time, from any device, making it easy to reconfigure for a wide range of different tasks.Automata was founded on 2015 and is headquartered in London, England. | $45M / Series C / Jan 29, 2026 | ||
| Chai Discovery creates Chai-1, a multi-modal foundation model designed for predicting molecular structures relevant to drug discovery. The model facilitates the unified prediction of proteins, small molecules, and nucleic acids, and is available for free for commercial applications. By enabling accurate predictions without the need for multiplesequence alignments, Chai-1 advances the capabilities of molecular modeling in the life sciences. | $130M / Series B / Dec 15, 2025 | ||
| NewLimit specializes in treating age-related diseases to extend the human health span. It works on developing epigenetic reprogramming medicines to treat diseases with large unmet needs. | $45M / Convertible Note / Oct 20, 2025 | ||
| Odyssey Therapeutics is a biotechnology company pioneering the efficient development of next-generation immunomodulators and oncology medicines. Odyssey is making a transformational impact on the field of drug discovery and is accelerating the path to clinical development to drive the creation of more effective precision medicines. | $213M / Series D / Sep 10, 2025 | ||
| Enveda Biosciences is a biotechnology company building new medicines from plants. It harnesses the complexity of the natural world to tackle today’s biggest healthcare challenges. With the help of the advancements in knowledge graphs, machine learning, and metabolomics, they discover the next generation of small molecules. Its technologiessystematize the discovery of small molecules and novel targets for complex diseases. By probing novel chemical space and mechanisms of action, they are breaking the status quo for challenging diseases with a need for effective treatments, such as fibrosis or neurodegeneration.Enveda, launched in 2019, is based in San Francisco, California. | $150M / Series D / Sep 04, 2025 | ||
| See all 28 investments → | |||
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FAQ
What does Dimension Capital invest in?
Dimension Capital invests primarily in Biotechnology, Software and Artificial Intelligence startups, most often at Seed and Series A stage. Most of the 28 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
How do I contact Dimension Capital?
Public channels for Dimension 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 Dimension Capital?
The team at Dimension Capital includes Adam Goulburn (Founder & Managing Partner), Michele Vlcek (Operations Manager) and Nan Li (Co-Founder). 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 Oct 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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