M12 - Microsoft's Venture Fund
VC Fund
San Francisco, United States
M12 - Microsoft's Venture Fund is a VC fund in San Francisco focused on Software and Artificial Intelligence. M12 - Microsoft’s venture fund, invests in early-stage enterprise software companies with a focus on AI, cloud infrastructure, cybersecurity, developer tools, vertical SaaS, and Web3/Gaming. Since 2016, M12 has invested in over 100 companies, helping startups accelerate growth with unparalleled access to Microsoft.
- Total investments:
- 242
- Last investment:
- Lead investor:
- 35%
Last updated:
For AI agents: llms.txt
Industries M12 - Microsoft's Venture Fund invests in
Stages M12 - Microsoft's Venture Fund invests in
Countries M12 - Microsoft's Venture Fund invests in
Round sizes
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
| See all 17 contacts → | |||
Round size
- Series A
- $7.6M–$46M
- Series B
- $12M–$58M
- Series C
- $21M–$100M
Investment Focus
Industry
- Software 65 (27%)
- Artificial Intelligence 65 (27%)
- Machine Learning 39 (16%)
- Information Technology 32 (13%)
- SaaS 31 (13%)
Stage
- Series A 62 (26%)
- Series B 54 (22%)
- Series C 32 (13%)
- Seed 22 (9%)
- Series D 22 (9%)
Country
- United States 112 (46%)
- Israel 12 (5%)
- United Kingdom 9 (4%)
- Canada 5 (2%)
- Germany 3 (1%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
Abhi Kumar
Partner, Investment Committee, and Asia-Pacific Head
|
Partner, Investment Committee, and Asia-Pacific Head | Total investments: 19 | Find email | |
Irad Dor
Partner
|
Partner | Total investments: 8 | Find email | |
James Wu
Principal
|
Principal | Total investments: 10 | Find email | |
Matthew Goldstein
Managing Director
|
Managing Director | Total investments: 15 | Find email | |
Michael Bervell
Portfolio Development Manager
|
Portfolio Development Manager | Total investments: 0 | Find email | |
| See all 17 team members → | ||||
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| Eventual is tackling one of the hardest infrastructure problems in AI: making multimodal data (images, video, audio) as easy to process as SQL tables. While every company races to build AI applications, they're stuck forcing tools designed for bank transactions to handle petabytes of video and images. Our platform eliminates months ofinfrastructure work, letting developers query massive multimodal datasets with simple Python scripts that automatically scale. Built on our open-source Daft engine, we deliver 10x performance improvements and handle all the messy realities of production AI workloads—from out-of-memory errors to flaky API calls. We're already processing petabytes daily at companies like Amazon, Together AI, and CloudKitchens, powering everything from autonomous vehicles to foundation model training | $20M / Series A / Jun 24, 2025 | ||
| Upscale AI is an end-to-end platform that uses AI to generate, deliver, and optimize high-quality, performance-driven video ads for streaming TV and programmatic channels. It enables brands to quickly produce personalized TV-ready creatives, leverage proprietary machine learning for targeted ad delivery, and provides advanced measurement toolsincluding attribution and incrementality testing to optimize campaign outcomes. The platform unifies creative production, media buying, and analytics, helping brands achieve significant cost savings, faster campaign launches, and improved return on ad spend (ROAS) | $5.5M / Seed / May 12, 2025 | ||
nEye
|
NEye Systems develops programmable photonic integrated circuits that integrate high-radix optical circuit switching on silicon chips. These optical switches aim to address challenges in AI and machine learning systems by reducing power requirements and facilitating network expansion. The company's technology, based on over a decade of researchfrom Professor Ming Wu's lab at UC Berkeley, utilizes MEMS-based silicon photonics to create wafer-scale optical circuit switches. These switches are designed to provide direct optical connections among GPUs and memory units, potentially enhancing performance and scalability in data centers. NEye Systems has secured funding from investors, including CapitalG, M12, Micron Ventures, and NVIDIA. | $58M / Series B / Apr 10, 2025 | |
| We use AI to help you write high-quality patents quickly. We do this by providing a simple in-browser document editor that any patent attorney or inventor can start using straight away.Our product can help with all stages of the patent life cycle, from drafting and filing to prosecution and opposition.If you are an an inventor, a patentattorney, or even just an enthusiast interested in the intersection of AI and intellectual property, we would love to hear from you: https://www.solveintelligence.com/contact | $12M / Series A / Apr 09, 2025 | ||
| SpecterOps is a cybersecurity company that provides products, services, and training solutions to help enterprises defend against advanced attacks. They assist companies in shutting down attack vectors, evaluating and developing security operations programs, providing advanced adversary Tactics, Techniques, and Procedures (TTPs) training tostudents, and sponsoring several initiatives that benefit the industry as a whole. | $75M / Series B / Mar 05, 2025 | ||
| Edera is a cybersecurity company specializing in strong workload isolation solutions for Kubernetes and AI environments. Its technology employs a cloud-native Type 1 hypervisor to provide robust container isolation, preventing lateral movement and eliminating container escapes. This approach ensures that each container operates within its ownisolated kernel, enhancing security without compromising performance. Edera's platform is designed for seamless integration, requiring minimal configuration to secure workloads across various infrastructures. The company also supports open-source initiatives, offering tools like 'Am I Isolated,' a Rust-based container runtime scanner that detects gaps in container isolation. | $15M / Series A / Feb 25, 2025 | ||
| Arize is a leading AI and agent engineering platform that helps teams design, evaluate, and operate production-grade AI systems with reliability and speed. Built to be independent and interoperable across models, frameworks, and clouds — with open-standard instrumentation at its core — Arize unifies development and production workflows in Arize AX(with Alyx for copilot-powered analysis) and complements them with the open-source Phoenix and OpenInference projects. Arize is headquartered in Berkeley, CA. | $70M / Series C / Feb 20, 2025 | ||
| Modern enterprise authorization with human-readable policies and an understanding of business context to deliver just-in-time authorization | $30M / Series A / Feb 12, 2025 | ||
| RAAPID is a full-stack, end-to-end risk adjustment platform. We deliver guaranteed compliant ROI, reduce costs, improve accuracy, reduce physician abrasion, and mitigate the risk in OIG and RADV audits while running a successful risk adjustment program. We offer audit, retrospective & prospective risk adjustment solutions by augmentingnear-human reasoning with Neuro-Symbolic AI as an AI assistant to coders and providers. | $6.7M / Series A / Jan 10, 2025 | ||
| Innovaccer is a healthcare data activation company focused on delivering effective healthcare through the use of pioneering analytics and transparent data.Innovaccer aims to make full use of all the data healthcare has worked so hard to collect. Its Gartner and KLAS-recognized data activation platform and artificial intelligence products havebeen deployed all over the US across more than 500 locations, enabling over 10,000 providers to transform care delivery and work as one. Innovaccer's Data Activation Platform (DAP) TM has been successfully implemented for several institutions, governmental organizations, and several corporate enterprises such as Mercy ACO, Orlando Health, Catholic Health Initiatives, StratiFi Health, UniNet Healthcare Network, Catalyst Health Network, Hartford Healthcare, and Osler Health Network. Innovaccer is based in San Francisco and has 5 offices across the United States and Asia. | $275M / Series F / Jan 09, 2025 | ||
| See all 242 investments → | |||
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FAQ
What does M12 - Microsoft's Venture Fund invest in?
M12 - Microsoft's Venture Fund invests primarily in Software, Artificial Intelligence and Machine Learning startups, most often at Series A and Series B stage. Most of the 242 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 M12 - Microsoft's Venture Fund's check size?
M12 - Microsoft's Venture Fund typically joins rounds of $7.6M–$46M at Series A, $12M–$58M at Series B and $21M–$100M at Series C. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds M12 - Microsoft's Venture Fund participates in.
How do I contact M12 - Microsoft's Venture Fund?
Public channels for M12 - Microsoft's Venture Fund 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 M12 - Microsoft's Venture Fund?
The team at M12 - Microsoft's Venture Fund includes Abhi Kumar (Partner, Investment Committee, and Asia-Pacific Head), Irad Dor (Partner) and James Wu (Principal), among 17 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 Sep 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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