Nautilus Venture Partners
VC Fund
Palo Alto, United States
Nautilus Venture Partners is an early-stage venture capital firm focused on helping startups partners with large technology corporations. The firm was founded in 2015 and is based in Palo Alto, California.
- Total investments:
- 28
- Last investment:
- Lead investor:
- 11%
- Last fund:
Last updated:
For AI agents: llms.txt
Industries Nautilus Venture Partners invests in
Artificial IntelligenceSoftwareElectronicsHardwareAnalytics
Stages Nautilus Venture Partners invests in
Series ASeries BSeries CSeedFunding Round
Countries Nautilus Venture Partners invests in
United StatesCanadaUnited Kingdom
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Brian Kang
|
|||
Connie Sheng
|
|||
George R. Chen
|
|||
Isabella Zhou
|
|||
Sungwon Lim
|
Investment Focus
Industry
- Artificial Intelligence 5 (18%)
- Software 4 (14%)
- Electronics 4 (14%)
- Hardware 3 (11%)
- Analytics 3 (11%)
Stage
- Series A 11 (39%)
- Series B 5 (18%)
- Series C 5 (18%)
- Seed 2 (7%)
- Funding Round 2 (7%)
Country
- United States 18 (64%)
- Canada 2 (7%)
- United Kingdom 1 (4%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
|
Brian Kang
Co-Founder and Managing Director
|
Co-Founder and Managing Director | Total investments: 2 | Find email | |
|
Connie Sheng
Co-Founder and Managing Director
|
Co-Founder and Managing Director | Total investments: 0 | Find email | |
|
George R. Chen
Principal
|
Principal | Total investments: 0 | Find email | |
|
Isabella Zhou
Associate
|
Associate | Total investments: 0 | Find email | |
|
Sungwon Lim
Partner and Managing Director, Korea
|
Partner and Managing Director, Korea | Total investments: 0 | Find email | |
| See all 6 team members → | ||||
Investments
| Company | Description | Round | Links |
|---|---|---|---|
d-Matrix
|
D-Matrix is developing a platform that enables data centers to handle large-scale generative AI inference with high throughput and low latency. The company’s offering includes the Corsair™ inference accelerator card, the JetStream™ I/O networking accelerator, and the SquadRack™ rack-scale system, all designed to work together to deliverefficient inference compute. Their technology brings memory and compute closer together, embedding processing inside memory to reduce data movement, improve speed, and energy efficiency. The stack also includes software tools for deployment, model debugging, and performance monitoring, enabling enterprises to scale inference workloads across models and usage scenarios. | $275M / Series C / Nov 12, 2025 | |
DataPelago
|
DataPelago provides big data analytics solutions. They also provide a data analytics platform that offers hardware and software based products. The platform also provides solutions for extracting insights from data of, speed, or structure at performance and cost levels unsurpassed in the industry. | $47M / Oct 01, 2024 | |
|
DataPelago
|
DataPelago provides big data analytics solutions. They also provide a data analytics platform that offers hardware and software based products. The platform also provides solutions for extracting insights from data of, speed, or structure at performance and cost levels unsurpassed in the industry. | $47M / Series A / Oct 01, 2024 | |
Point2 Technology
|
Point2 Technology develops a dielectric waveguide for high speed interconnect for both datacenter applications. The company is a provider of interconnect technology solutions that delivers ultra-low power, low-latency, point-to-point interconnect and range enhancement SoC solutions specifically designed to fulfill the bandwidth needs of hyperscaleAI/ML datacenters and 5G infrastructure. | $22.6M / Series B / Feb 14, 2024 | |
|
d-Matrix
|
D-Matrix is developing a platform that enables data centers to handle large-scale generative AI inference with high throughput and low latency. The company’s offering includes the Corsair™ inference accelerator card, the JetStream™ I/O networking accelerator, and the SquadRack™ rack-scale system, all designed to work together to deliverefficient inference compute. Their technology brings memory and compute closer together, embedding processing inside memory to reduce data movement, improve speed, and energy efficiency. The stack also includes software tools for deployment, model debugging, and performance monitoring, enabling enterprises to scale inference workloads across models and usage scenarios. | $110M / Series B / Sep 06, 2023 | |
|
Point2 Technology
|
Point2 Technology develops a dielectric waveguide for high speed interconnect for both datacenter applications. The company is a provider of interconnect technology solutions that delivers ultra-low power, low-latency, point-to-point interconnect and range enhancement SoC solutions specifically designed to fulfill the bandwidth needs of hyperscaleAI/ML datacenters and 5G infrastructure. | $22M / Series B / May 25, 2022 | |
Ayar Labs
|
Ayar Labs develops a monolithic in-package optical I/O (MIPO) solution for applications that require high bandwidth, low latency, and power-efficient short-reach interconnects.The company disrupts the traditional performance, cost, and efficiency curves of the semiconductor and computing industries by driving improvement in interconnectbandwidth density at lower power. Its patented approach uses industry-standard cost-effective silicon processing techniques to develop high speed, high density, low power optical-based interconnect “chiplets” and lasers to replace traditional electrical-based I/O. Ayar’s flagship product is a chip called TeraPhy that implements its optical technology on compact silicon die. The chip can be integrated directly into a central processing unit, graphics card, or another processor to give it optical data transmission capabilities.The Emeryville, California-headquartered company was established in 2015 by Alex Wright-Gladstein, Vladimir Stojanovic, Chen Sun, and Mark Wade. | $130M / Series C / Apr 26, 2022 | |
|
d-Matrix
|
D-Matrix is developing a platform that enables data centers to handle large-scale generative AI inference with high throughput and low latency. The company’s offering includes the Corsair™ inference accelerator card, the JetStream™ I/O networking accelerator, and the SquadRack™ rack-scale system, all designed to work together to deliverefficient inference compute. Their technology brings memory and compute closer together, embedding processing inside memory to reduce data movement, improve speed, and energy efficiency. The stack also includes software tools for deployment, model debugging, and performance monitoring, enabling enterprises to scale inference workloads across models and usage scenarios. | $44M / Series A / Apr 20, 2022 | |
Balbix
|
Balbix offers an AI-native cyber risk and exposure management platform to give security teams a unified, real-time view of their attack surface. It continuously discovers and inventories all assets—including IT, cloud, IoT, and OT—normalizing and deduplicating data from multiple sources. The platform uses advanced AI to assess risk by combiningexploitability, business impact, exposure paths, and compensating controls into a “risk graph” that helps prioritize remediation. It also supports application security by identifying vulnerabilities, misconfigurations, and software bill-of-materials (SBOM) issues for supply chain risk analysis.Balbix’s AI assistant, BIX, lets teams ask natural-language questions about their security posture and get actionable, business-relevant guidance. The platform further enables cyber-risk quantification by translating technical risk into financial impact, helping organizations align security justifications with business strategy. | $70M / Series C / Mar 01, 2022 | |
Cipherome
|
Cipherome is a biotech company that finds the drug that works for each individual. Its company was founded on the belief that each individual deserves the best medicine. Serious side effects or adverse drug reactions (ADRs) occur in certain individuals, but not in others. These differences may be due to inherited factors. Its unique patentedplatform combines many components, including genetics, to provide the best drug for everyone. | $16.3K / Series B / Feb 14, 2022 | |
| See all 28 investments → | |||
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FAQ
What does Nautilus Venture Partners invest in?
Nautilus Venture Partners invests primarily in Artificial Intelligence, Software and Electronics startups, most often at Series A and Series B 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 Nautilus Venture Partners?
Public channels for Nautilus Venture Partners 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 Nautilus Venture Partners?
The team at Nautilus Venture Partners includes Brian Kang (Co-Founder and Managing Director), Connie Sheng (Co-Founder and Managing Director) and George R. Chen (Principal), 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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