Maverick Capital
VC Fund
Dallas, United States
Maverick Capital is a registered investment advisor managing private investment funds exclusively for qualified investors. They are committed to preserving and growing investors' capital. Maverick Capital is a long/short equity hedge fund in Dallas, TX.
- Total investments:
- 26
- Last investment:
- Lead investor:
- 27%
- Fund size:
- $39M
- Last fund:
Last updated:
For AI agents: llms.txt
Industries Maverick Capital invests in
Stages Maverick Capital invests in
Countries Maverick Capital invests in
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
|
Adam Stauffer
|
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Andrew Homan
|
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|
Johnny J. Liu
|
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John Zurawski
|
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Investment Focus
Industry
- Health Care 8 (31%)
- Artificial Intelligence 6 (23%)
- Biotechnology 4 (15%)
- Software 3 (12%)
- Electronics 3 (12%)
Stage
- Series B 5 (19%)
- Seed 3 (12%)
- Funding Round 3 (12%)
- Post-IPO Equity 3 (12%)
- Series A 2 (8%)
Country
- United States 15 (58%)
- Brazil 1 (4%)
- Canada 1 (4%)
- Israel 1 (4%)
- Hong Kong 1 (4%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
|
Adam Stauffer
Chief Operating Officer
|
Chief Operating Officer | Total investments: 0 | Find email | |
|
Andrew Homan
Managing Director
|
Managing Director | Total investments: 15 | Find email | |
|
Johnny J. Liu
Chief Technology Officer
|
Chief Technology Officer | Total investments: 0 | Find email | |
|
John Zurawski
Software Developer
|
Software Developer | Total investments: 0 | Find email | |
Lee Ainslie
Founder
|
Founder | Total investments: 0 | Find email | |
| See all 6 team members → | ||||
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Xsight Labs
|
Xsight Labs is an Israeli company that develops technology for accelerating the next-generation, cloud-based, data-intensive workloads such as machine learning by offering new chipset designs that enhance scalability, performance and efficiency. | $300M / Series E / Jul 30, 2026 | |
SiMa.ai
|
SiMa.ai™ is a machine learning company transforming the embedded edge market through high-performance compute at the lowest power. Initially focused on computer vision applications, the company’s software-first approach simplifies ML integration and supports the broadest set of capabilities through a purpose-built MLSoC™ platform, enabling rapidadoption and creating the best of ease-of-use experience. SiMa.ai is led by technologists and business veterans and backed by a set of top investors committed to helping customers scale machine learning at the edge. | $85M / Series C / Aug 01, 2025 | |
AheadComputing
|
AheadComputing is a company that specializes in designing, licensing, and providing support for high-performance microprocessor cores and related technologies. | $53.1M / Seed / Feb 19, 2025 | |
Terray Therapeutics
|
Terray Therapeutics is a biotechnology company that integrates experimentation and computation to enhance small molecule drug discovery. The platform generates extensive, precise data through a rapid design-make-test-analyze cycle, allowing for efficient exploration of chemical space. By focusing on both wet lab science and AI, the companyaddresses complex therapeutic challenges across various targets. | $120M / Series B / Oct 17, 2024 | |
TensorWave
|
TensorWave provides cloud infrastructure designed for artificial intelligence workloads, offering access to AMD-powered GPU computing resources for model training, fine-tuning, and inference. The company delivers a full-stack AI platform that combines compute, storage, networking, orchestration, and managed services to support the deployment andscaling of machine learning applications. Its platform is built around AMD Instinct accelerators and supports widely used AI frameworks and tools, including PyTorch, TensorFlow, JAX, Hugging Face, and Kubernetes-based environments. TensorWave also offers enterprise capabilities such as workload monitoring, security controls, managed Kubernetes and Slurm services, and software layers that help organizations manage AI operations across the model lifecycle. The company focuses on providing open, scalable infrastructure that enables organizations to develop, train, and run AI models without relying on proprietary hardware ecosystems. | Oct 08, 2024 | |
|
TensorWave
|
TensorWave provides cloud infrastructure designed for artificial intelligence workloads, offering access to AMD-powered GPU computing resources for model training, fine-tuning, and inference. The company delivers a full-stack AI platform that combines compute, storage, networking, orchestration, and managed services to support the deployment andscaling of machine learning applications. Its platform is built around AMD Instinct accelerators and supports widely used AI frameworks and tools, including PyTorch, TensorFlow, JAX, Hugging Face, and Kubernetes-based environments. TensorWave also offers enterprise capabilities such as workload monitoring, security controls, managed Kubernetes and Slurm services, and software layers that help organizations manage AI operations across the model lifecycle. The company focuses on providing open, scalable infrastructure that enables organizations to develop, train, and run AI models without relying on proprietary hardware ecosystems. | $43M / Seed / Oct 08, 2024 | |
Thintronics
|
Thintronics is a Consumer Electronics company. | $23M / Series A / Apr 29, 2024 | |
Auradine
|
Auradinescalability, sustainability and security solutions for the infrastructure, enabled by revolutionary blockchain, security, zero-knowledge and AI technologies. | $80M / Series B / Apr 10, 2024 | |
|
SiMa.ai
|
SiMa.ai™ is a machine learning company transforming the embedded edge market through high-performance compute at the lowest power. Initially focused on computer vision applications, the company’s software-first approach simplifies ML integration and supports the broadest set of capabilities through a purpose-built MLSoC™ platform, enabling rapidadoption and creating the best of ease-of-use experience. SiMa.ai is led by technologists and business veterans and backed by a set of top investors committed to helping customers scale machine learning at the edge. | $70M / Series C / Apr 04, 2024 | |
|
SiMa.ai
|
SiMa.ai™ is a machine learning company transforming the embedded edge market through high-performance compute at the lowest power. Initially focused on computer vision applications, the company’s software-first approach simplifies ML integration and supports the broadest set of capabilities through a purpose-built MLSoC™ platform, enabling rapidadoption and creating the best of ease-of-use experience. SiMa.ai is led by technologists and business veterans and backed by a set of top investors committed to helping customers scale machine learning at the edge. | $70M / Series B / Apr 04, 2024 | |
| See all 26 investments → | |||
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FAQ
What does Maverick Capital invest in?
Maverick Capital invests primarily in Health Care, Artificial Intelligence and Biotechnology startups, most often at Series B and Seed stage. Most of the 26 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 Maverick Capital?
Public channels for Maverick Capital include LinkedIn 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 Maverick Capital?
The team at Maverick Capital includes Adam Stauffer (Chief Operating Officer), Andrew Homan (Managing Director) and Johnny J. Liu (Chief Technology Officer), among 6 team members tracked by Shizune. 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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