Hudson River Trading
VC Fund
New York, United States
Hudson River Trading is a VC fund in New York focused on Cryptocurrency and Blockchain. Hudson River Trading operates as a multi-asset class quantitative trading firm. Hudson River Trading consists of mathematicians, computer scientists and engineers that research and develop automated trading algorithms.
- Total investments:
- 18
- Last investment:
- Lead investor:
- 11%
Last updated:
For AI agents: llms.txt
Industries Hudson River Trading invests in
Stages Hudson River Trading invests in
Countries Hudson River Trading invests in
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Adrian Bridgett
|
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Douglas Borden
|
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Nikola Dipanov
|
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Alex Morcos
|
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Jason Carroll
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| See all 7 contacts → | |||
Investment Focus
Industry
- Cryptocurrency 8 (44%)
- Blockchain 5 (28%)
- Financial Services 4 (22%)
- FinTech 3 (17%)
- Artificial Intelligence 3 (17%)
Stage
- Seed 6 (33%)
- Series A 4 (22%)
- Series B 4 (22%)
- Series D 1 (6%)
- Funding Round 1 (6%)
Country
- United States 10 (56%)
- Bahamas 1 (6%)
- Singapore 1 (6%)
- United Kingdom 1 (6%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
|
Adrian Bridgett
Systems Engineer
|
Systems Engineer | Total investments: 0 | Find email | |
|
Douglas Borden
Algorithmic Trader
|
Algorithmic Trader | Total investments: 0 | Find email | |
|
Nikola Dipanov
Ops Dev
|
Ops Dev | Total investments: 0 | Find email | |
|
Alex Morcos
Co-Founder
|
Co-Founder | Total investments: 0 | Find email | |
|
Jason Carroll
Co-Founder
|
Co-Founder | Total investments: 0 | Find email | |
| See all 7 team members → | ||||
Investments
| Company | Description | Round | Links |
|---|---|---|---|
OLIX
|
OLIX designs and manufactures optical processors that use light-based circuits to accelerate artificial intelligence workloads. The company develops Optical Tensor Processing Units that execute matrix and tensor operations for training and running inference on large-scale machine learning models. Its hardware aims to increase performance and reducepower consumption relative to conventional electronic accelerators by processing data in the optical domain. Flux Computing focuses on infrastructure for generative AI and advanced neural networks, targeting data centers and organizations that require intensive model computation. The product stack centers on custom optical chips integrated with supporting electronics, control software, and tools that link into existing AI frameworks. Sales and partnerships primarily address customers building large AI clusters, research environments, and emerging applications that benefit from high-throughput, low-energy computation. | $312M / Series B / Aug 03, 2026 | |
Gray Swan
|
Gray Swan AI is an AI security company that develops tools for evaluating and protecting large language model deployments. Its platform focuses on identifying vulnerabilities such as jailbreaks, prompt injections, harmful outputs, and other adversarial attacks that can affect AI systems in production. The company offers products including Shade, anautomated red-teaming and vulnerability assessment tool, and Cygnal, a runtime protection layer that monitors and filters AI interactions in real time. Gray Swan’s technology is designed to work with multiple AI providers and is used to test the security and reliability of AI applications, agents, and workflows. The company also operates adversarial testing programs and collaborates with AI researchers and enterprises to study emerging threats and improve AI safety practices. | $40M / Series A / May 28, 2026 | |
Eridu
|
Eridu is the pioneer advancing the frontier in AI networking, breaking through the network wall with a solution built from the ground up for scale-out and scale-up networks in AI data centers. Eridu’s network switch delivers the order-of-magnitude advance in performance, radix and throughput needed to maximize utilization, throughput andefficiency in AI clusters and data centers. Founded by a team of accomplished technology and business innovators and backed by leading investors with over $200M in funding to date, Eridu is solving the network bottlenecks throttling AI. | $200M / Series A / Mar 10, 2026 | |
Sphere
|
Better cross-border payments through beautiful interfaces for businesses to buy, sell, send and manage stablecoins. | $2.8M / Seed / Feb 27, 2024 | |
Elixir
|
Elixir is a decentralized protocol that enables full composability for integrations by providing computationally secure, algorithmic market-making across CEXs and DEXs. | $7.5M / Series A / Oct 18, 2023 | |
Econia Labs
|
Econia Labs is an Aptos ecological DeFi protocol that aims to develop a back-end protocol. | $6.5M / Seed / Mar 29, 2023 | |
C3 Exchange
|
C3 is self-custodial exchange that offers the benefits of self-custody and decentralization without sacrificing the performance and accessibility that users expect from traditional exchanges and robust trading platforms. | $6M / Seed / Feb 09, 2023 | |
Notifi
|
Web3 Messaging Infrastructure Services | $10M / Seed / Nov 09, 2022 | |
Sei Labs
|
Sei Labs is a crypto startup. | $5M / Seed / Aug 31, 2022 | |
Vertex Protocol
|
Vertex Protocol is a decentralized FX trading platform. | $8.5M / Seed / Apr 26, 2022 | |
| See all 18 investments → | |||
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FAQ
What does Hudson River Trading invest in?
Hudson River Trading invests primarily in Cryptocurrency, Blockchain and Financial Services startups, most often at Seed and Series A stage. Most of the 18 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 Hudson River Trading?
Public channels for Hudson River Trading 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 Hudson River Trading?
The team at Hudson River Trading includes Adrian Bridgett (Systems Engineer), Douglas Borden (Algorithmic Trader) and Nikola Dipanov (Ops Dev), among 7 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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