# John Cassidy

> John Cassidy is a seed investor at Kindred Capital backing Developer APIs and Developer Tools. See 4 investments, check sizes, portfolio. Updated Aug 2026.

- Type: Angel Investor
- Fund: [Kindred Capital](https://shizune.co/investors/profile/kindredcapital)
- Location: Cambridge, United Kingdom
- Total investments: 4
- Last investment: May 2026
- Lead investor: 25%
- Last updated: Aug 2026
- LinkedIn: https://www.linkedin.com/in/john-w-cassidy-a7557238
- X (Twitter): https://twitter.com/jwc_science
- Website: https://x.com/jwc_science

John Cassidy is a seed investor at Kindred Capital in Cambridge focused on Developer APIs and Developer Tools. John Cassidy is the Partner of Kindred Capital. John has a background in cancer research in both academia (Cancer Research UK, University of Glasgow and University of Cambridge) and Pharma (MedImmune). His PhD focussed on understanding how tumours become resistant to therapy.

## Investment focus

### Industry

| Industry | Investments | Share |
| --- | --- | --- |
| Developer APIs | 1 | 25% |
| Developer Tools | 1 | 25% |
| Artificial Intelligence | 1 | 25% |

### Stage

| Stage | Investments | Share |
| --- | --- | --- |
| Seed | 2 | 50% |
| Series B | 1 | 25% |

## Investments

| Company | Description | Amount | Stage | Date | Website |
| --- | --- | --- | --- | --- | --- |
| Fractile | Fractile is building chips to run large language models two orders of magnitude faster. Existing hardware is good for training LLMs, but very poorly suited to subsequent inference of the trained model, which is increasingly the dominant workload. A network’s weights need to be moved onto a chip once per word generated, and this movement takes a fewhundred times longer than the subsequent computations themselves. Fractile’s revolutionary approach to fusing computation with memory eliminates this bottleneck, and can scale to allow running the world’s largest models at a global scale. | $220M | Series B | May 13, 2026 |  |
| Fractile | Fractile is building chips to run large language models two orders of magnitude faster. Existing hardware is good for training LLMs, but very poorly suited to subsequent inference of the trained model, which is increasingly the dominant workload. A network’s weights need to be moved onto a chip once per word generated, and this movement takes a fewhundred times longer than the subsequent computations themselves. Fractile’s revolutionary approach to fusing computation with memory eliminates this bottleneck, and can scale to allow running the world’s largest models at a global scale. | $22.5M | Venture - Series Unknown | Jan 15, 2026 |  |
| Sauna by Wordware | Wordware allows users to create and host their entire LLM stack for AI application development. It offers tools for building, training, and deploying language models. The platform simplifies the integration of various components necessary for AI solutions. Users can manage their applications and data within a unified environment. | $30M | Seed | Nov 21, 2024 |  |
| Fractile | Fractile is building chips to run large language models two orders of magnitude faster. Existing hardware is good for training LLMs, but very poorly suited to subsequent inference of the trained model, which is increasingly the dominant workload. A network’s weights need to be moved onto a chip once per word generated, and this movement takes a fewhundred times longer than the subsequent computations themselves. Fractile’s revolutionary approach to fusing computation with memory eliminates this bottleneck, and can scale to allow running the world’s largest models at a global scale. | $14.8M | Seed | Jun 18, 2024 |  |

4 of 4 investments shown.

## Co-investors
- [NATO Innovation Fund](https://shizune.co/investors/profile/nato-innovation-fund) — VC Fund, 5 deals together
- [Oxford Science Enterprises](https://shizune.co/investors/profile/oxford-sciences-innovation) — VC Fund, 3 deals together
- [Cocoa](https://shizune.co/investors/profile/cocoa-ventures) — VC Fund, 2 deals together
- [Felicis](https://shizune.co/investors/profile/felicis-ventures) — VC Fund, 2 deals together
- [SV Angel](https://shizune.co/investors/profile/sv-angel) — VC Fund, 2 deals together
- [Theory Forge Ventures](https://shizune.co/investors/profile/theory-forge-ventures) — VC Fund, 2 deals together

## About Kindred Capital

VC Fund · London, United Kingdom

Kindred is an early stage venture capital fund based in London that practices equitable venture. Kindred aligns ambitions and achievements with the portfolio. In structure and in spirit. Every single founder that the company backs will become a co-owner of the fund.

5 contacts available at Kindred Capital.

| Name | Title | Profile |
| --- | --- | --- |
| Chrysanthos Chrysanthou | Partner | https://shizune.co/investors/profile/chrysanthos-chrysanthou |
| Leila Zegna | Founding Partner | https://shizune.co/investors/profile/leila-zegna |
| Andrew Baldwin | Finance & Operations Lead | https://shizune.co/investors/profile/andrew-baldwin-a734 |
| John Cassidy | Partner | https://shizune.co/investors/profile/john-cassidy |
| Karen Swain | CFO | https://shizune.co/investors/profile/karen-swain-33a5 |

## Similar investors

### Similar stage
- [Antler](https://shizune.co/investors/profile/antler-be9c) — VC Fund
- [Alumni Ventures](https://shizune.co/investors/profile/alumni-ventures-group) — VC Fund
- [Right Side Capital Management](https://shizune.co/investors/profile/right-side-capital-management) — VC Fund

## FAQ

### What does John Cassidy invest in?

John Cassidy invests primarily in Developer APIs, Developer Tools and Artificial Intelligence startups, most often at Seed and Series B stage. Most of the 4 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.

### When did John Cassidy last invest?

The most recent investment recorded for John Cassidy closed in May 2026. Shizune tracks 4 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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