Marcin Zukowski
Angel Investor
San Mateo, United States
Marcin Zukowski is a pre-seed investor in San Mateo focused on Artificial Intelligence and Software. Marcin Zukowski is the Co-Founder at Snowflake.
- Total investments:
- 14
- Last investment:
- Lead investor:
- 7%
Last updated:
For AI agents: llms.txt
Industries Marcin Zukowski invests in
Stages Marcin Zukowski invests in
Countries Marcin Zukowski invests in
Round sizes
Round size
- Seed
- $4.8M–$14M
- Pre-Seed
- $502k–$1.8M
- Series B
- $8.5M–$60M
Investment Focus
Industry
- Artificial Intelligence 7 (50%)
- Software 6 (43%)
- Machine Learning 3 (21%)
- Information Technology 3 (21%)
- Analytics 2 (14%)
Stage
- Pre-Seed 5 (36%)
- Seed 4 (29%)
- Series B 2 (14%)
- Series A 1 (7%)
- Funding Round 1 (7%)
Country
- Poland 6 (43%)
- United States 3 (21%)
- Romania 1 (7%)
- United Kingdom 1 (7%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Mirai
|
On-device SDK (developer suite) for running highly optimized inference, fine-tuning, and operating LLMs and other deep learning models on the device. We aim to make it easy for developers to choose and route the query to the right model and deploy it to the device in a couple of clicks.Mirai is addressing a significant gap in on-device AIinference and training. Current cloud-based models face high latency, privacy concerns, and reliance on constant connectivity. Developers also struggle with high costs for personalization (e.g., $100M per year for 1M MAU) which is the most crucial pain point now and a core of our GTM. There’s no existing developer-friendly solution for on-device mobile AI, fine-tuning, and management. Our vision involves expanding from a robust SDK to include a developer console for model management, benchmarks, and fine-tuning. | $10M / Seed / Feb 19, 2026 | |
ReSpo.Vision
|
ReSpo.Vision uses artificial intelligence to revolutionize football. It uses AI research to watch and analyze football games, providing unrivaled depth of knowledge to players, scouts, managers, clubs, and federations. | $4.8M / Seed / Jun 10, 2025 | |
Lace
|
Lace is a revenue intelligence software designed for call centers in the trades. It uncovers over 40% of unbooked calls, generating millions in additional revenue while empowering agents (CSRs) to book more calls - all with no extra marketing or hiring costs. | $14M / Seed / Apr 21, 2025 | |
Connecty AI
|
Connecty AI is an enterprise software company that offers a platform for automated data prep, optimization and analytics. | $1.8M / Pre-Seed / Nov 11, 2024 | |
Revoize
|
Revoize provides noise reduction and speech enhancement technologies | $501.5K / Pre-Seed / Aug 05, 2024 | |
Synerise
|
Cutting-edge AI-driven infrastructure tailored for collecting, analyzing, and interpreting behavioral data. By leveraging the power of AI and machine learning, we transform raw behavioral data into actionable intelligence, enabling organizations to make data-driven decisions with unprecedented accuracy and efficiency. | $8.5M / Series B / Jul 06, 2024 | |
Airly
|
Airly empowers individuals and communities with knowledge about the air they breathe. Airly is changing the way people see the air they breathe by providing accurate, hyper-local data about air pollution. | $5.5M / Series A / Nov 09, 2022 | |
Amano
|
Amano to redesign the communication between merchants and consumers. | $1.7M / Pre-Seed / Feb 19, 2022 | |
Fluency
|
Fluency is a blockchain-empowered CBDC proprietary platform revolutionizing the existing financial system. Their blockchain enterprise smart contract platform was developed for the purpose of building and interconnecting national multi CBDC networks. Fluency Aureum allows issuance, distribution, and exchange of multi-CBDCs between central banks,commercial banks, merchants, and consumers. The company's proprietary technology is specifically tailored with the idea of bringing technological and economical innovations of digital currencies to the existing financial system.It was incorporated in 2019, headquartered in London, UK with subsidiaries in Delaware, US, and Dublin, Ireland. | Seed / Dec 02, 2021 | |
|
Fluency
|
Fluency is a blockchain-empowered CBDC proprietary platform revolutionizing the existing financial system. Their blockchain enterprise smart contract platform was developed for the purpose of building and interconnecting national multi CBDC networks. Fluency Aureum allows issuance, distribution, and exchange of multi-CBDCs between central banks,commercial banks, merchants, and consumers. The company's proprietary technology is specifically tailored with the idea of bringing technological and economical innovations of digital currencies to the existing financial system.It was incorporated in 2019, headquartered in London, UK with subsidiaries in Delaware, US, and Dublin, Ireland. | Dec 02, 2021 | |
| See all 14 investments → | |||
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FAQ
What does Marcin Zukowski invest in?
Marcin Zukowski invests primarily in Artificial Intelligence, Software and Machine Learning startups, most often at Pre-Seed and Seed stage. Most of the 14 investments tracked by Shizune back companies in Poland. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What is Marcin Zukowski's check size?
Marcin Zukowski typically joins rounds of $4.8M–$14M at Seed, $502k–$1.8M at Pre-Seed and $8.5M–$60M at Series B. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Marcin Zukowski participates in.
When did Marcin Zukowski last invest?
The most recent investment recorded for Marcin Zukowski closed in Feb 2026. Shizune tracks 14 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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