Kindred Capital
VC Fund
London, United Kingdom
Kindred Capital is a VC fund in London focused on Software and Biotechnology. 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.
- Total investments:
- 119
- Last investment:
- Lead investor:
- 30%
Last updated:
For AI agents: llms.txt
Industries Kindred Capital invests in
Stages Kindred Capital invests in
Countries Kindred Capital invests in
Round sizes
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Round size
- Seed
- $1.5M–$18M
- Series A
- $7.9M–$35M
- Series B
- $13M–$73M
Investment Focus
Industry
- Software 13 (11%)
- Biotechnology 10 (8%)
- Health Care 7 (6%)
- Information Technology 7 (6%)
- Artificial Intelligence 6 (5%)
Stage
- Seed 47 (39%)
- Series A 25 (21%)
- Series B 11 (9%)
- Funding Round 6 (5%)
- Pre-Seed 5 (4%)
Country
- United Kingdom 38 (32%)
- United States 6 (5%)
- Germany 4 (3%)
- Israel 3 (3%)
- Spain 1 (1%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
Chrysanthos Chrysanthou
Partner
|
Partner | Total investments: 19 | Find email | |
Leila Zegna
Founding Partner
|
Founding Partner | Total investments: 24 | Find email | |
Andrew Baldwin
Finance & Operations Lead
|
Finance & Operations Lead | Total investments: 0 | Find email | |
John Cassidy
Partner
|
Partner | Total investments: 4 | Find email | |
Karen Swain
CFO
|
CFO | Total investments: 0 | Find email | |
| See all 10 team members → | ||||
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Bios Life
|
Bios Life is a technology-enabled healthcare company built to empower individuals to proactively manage their cancer risk, redefining personalized cancer screening and survivorship. | $25M / Seed / Aug 10, 2026 | |
ZML
|
ZML develops a production inference stack that decouples artificial intelligence workloads from specific proprietary hardware targets. The platform compiles open-source machine learning models directly into optimized code for multiple chip types without using traditional Python runtimes. | $20M / Seed / Jul 08, 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. | $220M / Series B / May 13, 2026 | |
Lithosquare
|
Lithosquare is a mining company that specializes in the extraction of non-ferrous metal ores. | $25M / Seed / May 05, 2026 | |
Natter
|
Natter provides a web-based conversational intelligence platform that enables organizations to gather, analyze, and act on large-scale qualitative feedback through real-time video interactions and AI-driven insights. The platform allows companies to engage employees, customers, or stakeholders in structured conversations, capturing responsessimultaneously and converting them into summarized insights for decision-making. Its core functionality centers on running live or asynchronous video conversations at scale, where participants respond to prompts and questions, and the system processes these inputs using AI to generate themes, trends, and actionable outputs. This approach replaces traditional surveys and focus groups by delivering faster and more nuanced qualitative data.Natter includes analytics and reporting tools that transform conversational data into structured insights, enabling teams to identify patterns, surface ideas, and prioritize actions across areas such as human resources, product development, sales, and strategy. The platform supports large participant volumes, allowing organizations to capture input from entire workforces or customer bases in a short time frame. | $23M / Series A / Apr 07, 2026 | |
RobCo
|
RobCo is a company that develops modular industrial robotics systems combined with AI-driven software to automate manual and repetitive tasks in manufacturing environments. It provides a platform that includes configurable robotic hardware, no-code programming tools, AI-powered vision systems, and digital simulation to plan, test, and deployautomation workflows across applications like machine loading, palletizing, and materials handling. The company’s solutions are designed to be flexible and scalable so manufacturers can adapt robot configurations as production requirements evolve. RobCo also offers tools for remote management, predictive maintenance, and integration with existing equipment to support continuous operation. Its products aim to simplify the adoption of robotics by reducing the need for specialized programming and enabling simulation-based validation before physical deployment. | $100M / Series C / Jan 29, 2026 | |
Eolas Medical
|
Eolas Medical provides a knowledge management solution that allows hospitals to have a source of medical knowledge for the clients. It is a clinician-led start-up that harnessing the world's medical knowledge for equitable healthcare. Eolas Medical was founded in 2019 and is based in Belfast, Northern Ireland. | $12.1M / Series A / Jan 20, 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 | |
Clove
|
Building the financial institution of the future. | $14M / Pre-Seed / Oct 14, 2025 | |
SAIF Autonomy
|
At SAIF Systems we aim to be the global leaders in novel control assurance, pioneering trusted and ethical autonomy for humanity. Our software enables assured, trustworthy deployment of AI and novel control in any application for the first time; starting with autonomous systems.SAIF offers licensing and SaaS development options to OEMs, systemintegrators, operators, and regulators, ultimately ensuring safety in autonomous systems everywhere. | $2.2M / Pre-Seed / Sep 30, 2025 | |
| See all 119 investments → | |||
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FAQ
What does Kindred Capital invest in?
Kindred Capital invests primarily in Software, Biotechnology and Health Care startups, most often at Seed and Series A stage. Most of the 119 investments tracked by Shizune back companies in United Kingdom. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What is Kindred Capital's check size?
Kindred Capital typically joins rounds of $1.5M–$18M at Seed, $7.9M–$35M at Series A and $13M–$73M 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 Kindred Capital participates in.
How do I contact Kindred Capital?
Public channels for Kindred Capital 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 Kindred Capital?
The team at Kindred Capital includes Chrysanthos Chrysanthou (Partner), Leila Zegna (Founding Partner) and Andrew Baldwin (Finance & Operations Lead), among 10 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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