Mozilla Ventures
VC Fund
New Castle, United States
Mozilla Ventures is a VC fund in New Castle focused on Artificial Intelligence and Software. Mozilla Ventures seeks to invest in early-stage startups focusing on technology sector.
- Total investments:
- 29
- Last investment:
- Lead investor:
- 17%
Last updated:
For AI agents: llms.txt
Industries Mozilla Ventures invests in
Stages Mozilla Ventures invests in
Countries Mozilla Ventures invests in
Round sizes
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
3 more contacts available
Round size
- Seed
- $2.8M–$15M
- Pre-Seed
- $580k–$5.4M
- Series A
- $5.8M–$20M
Investment Focus
Industry
- Artificial Intelligence 14 (48%)
- Software 9 (31%)
- SaaS 4 (14%)
- Machine Learning 4 (14%)
- Cyber Security 3 (10%)
Stage
- Seed 12 (41%)
- Pre-Seed 6 (21%)
- Series A 3 (10%)
- Series B 1 (3%)
- Series C 1 (3%)
Country
- United States 9 (31%)
- Germany 3 (10%)
- United Kingdom 3 (10%)
- Canada 2 (7%)
- Spain 1 (3%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
|
Mohamed Nanabhay
Managing Partner
|
Managing Partner | Total investments: 2 | Find email | |
Mohamed Nanabhay
Managing Partner
|
Managing Partner | Total investments: 13 | Find email |
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Era
|
Era AI, a startup building a software platform for AI‑powered consumer gadgets and peripherals. | $9M / Seed / Apr 23, 2026 | |
Galtea
|
Galtea offers software that enables developers and companies to rigorously test AI agents prior to deployment. The platform automatically generates scenarios tailored to specific use cases, while applying customized metrics to pinpoint errors and evaluate performance. This helps teams thoroughly assess how their AI systems operate across diverseconditions. | $3.2M / Seed / Mar 25, 2026 | |
Union.ai
|
Union.ai is a Kubernetes-native workflow orchestration platform for data and machine learning at scale. Union.ai provides software users with the tools they need to move their ideas from concept to high-quality production. Union's aim is to organize the numerous processes required to train and grow the most sophisticated and dynamic machinelearning and data products. | $19M / Series A / Feb 25, 2026 | |
Adaption Labs
|
Adaptation creates AI systems that adjust to changing real-world circumstances. | $50M / Seed / Feb 04, 2026 | |
Transformer Lab
|
Open source platform for training large language models | Pre-Seed / Feb 02, 2026 | |
Fiddler Labs
|
Fiddler’s mission is to allow businesses of all sizes to unlock the AI black box and deliver transparent AI experiences to end-users. We enable businesses to build, deploy, and maintain trustworthy AI solutions. Fiddler’s next-generation ML Model Performance Management platform empowers data science and AI/ML teams to validate, monitor,explain, and analyze their AI solutions to accelerate AI adoption, meet regulatory compliance, and build trust with end-users. The platform provides complete visibility and understanding of AI solutions to customers. Fiddler works with pioneering Fortune 500 companies as well as emerging tech companies. | $30M / Series C / Jan 27, 2026 | |
Probabl
|
Probabl is a provider of open-source data science and machine learning solutions to core developers. | $15.2M / Seed / Oct 16, 2025 | |
Filament
|
Filament is operator of a communication platform intended to accelerate and amplify global change. | $10.7M / Seed / Sep 30, 2025 | |
Roseman Labs
|
Roseman Labs facilitates decentralized data analytics on encrypted data. Redefine data collaboration and work together without having to reveal your sensitive data. The technology builds on the foundations of a cryptographic technique called Multi-Party Computation. | $5.8M / Series A / Sep 02, 2025 | |
Jozu
|
Jozu provides a DevOps platform designed for AI agents, applications, and models, focusing on secure and efficient packaging, deployment, and management of machine learning (ML) assets. Its tools cater to security-conscious organizations, offering features such as tamper-proof storage, detailed audit trails, and compliance reporting. Jozu'splatform includes the Jozu Hub, a centralized model registry that supports major AI model formats and integrates with existing development tools. Additionally, it offers optimized inference containers for faster deployments and tools for scanning and auditing models to detect vulnerabilities. By streamlining the ML development lifecycle, Jozu aims to enhance collaboration across teams and ensure consistent model behavior across environments. | $4M / Seed / May 08, 2025 | |
| See all 29 investments → | |||
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FAQ
What does Mozilla Ventures invest in?
Mozilla Ventures invests primarily in Artificial Intelligence, Software and SaaS startups, most often at Seed and Pre-Seed stage. Most of the 29 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 Mozilla Ventures's check size?
Mozilla Ventures typically joins rounds of $2.8M–$15M at Seed, $580k–$5.4M at Pre-Seed and $5.8M–$20M 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 Mozilla Ventures participates in.
How do I contact Mozilla Ventures?
Public channels for Mozilla Ventures include LinkedIn 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 Mozilla Ventures?
The team at Mozilla Ventures includes Mohamed Nanabhay (Managing Partner) and Mohamed Nanabhay (Managing Partner). 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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