Illia Polosukhin
Co-founder @ NEAR Protocol
Mountain View, United States
Illia Polosukhin is a Co-Founder at NEAR.
- Total investments:
- 27
- Last investment:
- Lead investor:
- 7%
Last updated:
For AI agents: llms.txt
Industries Illia Polosukhin invests in
Stages Illia Polosukhin invests in
Countries Illia Polosukhin invests in
Round sizes
Round size
- Seed
- $2.5M–$10M
- Pre-Seed
- $200k–$10M
- Series A
- $30M–$33M
Investment Focus
Industry
- Software 9 (33%)
- Artificial Intelligence 8 (30%)
- Blockchain 7 (26%)
- Information Technology 7 (26%)
- Cryptocurrency 4 (15%)
Country
- United States 17 (63%)
- Singapore 1 (4%)
- Switzerland 1 (4%)
- Cayman Islands 1 (4%)
- United Kingdom 1 (4%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
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PhnyX Lab is working under the concept of redefining biopharma workflow through AI-powered solutions. The industry celebrates breakthroughs in medicine—but behind the scenes, progress isn't slowed by science. It's hindered by fragmented data, bloated documentation, and disconnected workflows. With Cheiron, they are revolutionizing howpharma operates, turning chaos into clarity by unifying internal and external data within a single discovery platform. They are going beyond unified search to intelligent action and automation, powered by GenAI. | $4M / Seed / Aug 04, 2025 | |
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Youlify offers AI solutions for medical billing, denied claims investigation, and real-time financial insights. | $4.3M / Seed / Apr 16, 2025 | |
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Fraction AI is the best human-generated data for training your AI models. | $6M / Pre-Seed / Dec 18, 2024 | |
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Lens Protocol is a composable and decentralized social network serving the Web3 community. It enables creators to build their own web3 social media platforms and accounts, giving them control over their connections with their communities and also ownership over their content. | $31M / Venture - Series Unknown / Dec 18, 2024 | |
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Pond is a decentralized AI startup that focuses on creating a comprehensive ecosystem for training Web3 AI models. Pond's approach is quite exciting because it merges two powerful, innovative technologies: AI and Web3. | $7.5M / Seed / Nov 07, 2024 | |
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OpenGradient is a pioneering platform that enables secure execution of open-source models, employs agentic reasoning, and facilitates application deployment without permission. | $8.5M / Seed / Oct 09, 2024 | |
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OpenGradient is a leading decentralized AI platform for open-source model hosting, secure inference, agentic reasoning, and application deployment. By developing tooling and a feature-rich platform that makes developing AI workflows both secure and seamless, OpenGradient empowers developers with the ability to build in its ecosystem of intelligentand optimized AI-empowered applications. With native model hosting, permissionless composability, and secure inference execution, OpenGradient also aims to accelerate open-source AI by democratizing model ownership, improving verifiability guarantees, and promoting censorship-resistant model access.Our heterogeneous AI compute architecture (HACA) and our proprietary library NeuroML scale secure AI workflows with features like inference, agentic reasoning, statistical analysis, and more. OpenGradient also accelerates open-source innovation with a web portal and SDK for Web2 developers to leverage our AI stack without navigating blockchain complexities, while enjoying the security and composability benefits of decentralized infrastructure. | $9.5M / Seed / Oct 09, 2024 | |
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PIN AI democratizes personal on-device intelligence for everyone; transform your digital footprints into your Personal Executive Assistant. | $10M / Pre-Seed / Sep 09, 2024 | |
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Fabric develops a custom cryptography hardware to accelerate cryptography algorithms. The chips, whose components exclusively serve cryptographic purposes, are based on Verifiable Processing Units (VPUs) which incorporate features of GPUs and ASICs to improve the speed and cost of advanced cryptographic workloads. | $33M / Series A / Aug 19, 2024 | |
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Hyperbolic is the open-access AI cloud made for AI developers, providing fast, affordable access to compute, inference, and AI services. | $7M / Seed / Jul 30, 2024 | |
| See all 27 investments → | |||
Co-Investors
About NEAR Protocol
NEAR Protocol is a scalable blockchain designed to provide the performance and user experience necessary to bridge the gap to mainstream adoption of decentralized applications. Unlike other next generation blockchains, this network has been built from the ground up to be the easiest in the world for both developers and their end users while stillproviding the scalability necessary to serve those users.
NEAR Protocol Contacts
| Name | Phone | Socials | |
|---|---|---|---|
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Illia Polosukhin
Co-founder
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Lauren Pfeifer
Business Operations Manager
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Alexander Skidanov
Co-Founder
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Alexandra Breines
Marketing
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Gustav Friis
Business Operations
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FAQ
What does Illia Polosukhin invest in?
Illia Polosukhin invests primarily in Software, Artificial Intelligence and Blockchain startups, most often at Seed and Pre-Seed stage. Most of the 27 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 Illia Polosukhin's check size?
Illia Polosukhin typically joins rounds of $2.5M–$10M at Seed, $200k–$10M at Pre-Seed and $30M–$33M 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 Illia Polosukhin participates in.
When did Illia Polosukhin last invest?
The most recent investment recorded for Illia Polosukhin closed in Aug 2025. Shizune tracks 27 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
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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