M12, Microsoft's Venture Fund’s cover photo
M12, Microsoft's Venture Fund

M12, Microsoft's Venture Fund

Venture Capital and Private Equity Principals

San Francisco, California 46,109 followers

We accelerate the future of technology through investments, insights, and meaningful partnership with Microsoft.

About us

M12 is Microsoft’s corporate venture capital fund. We invest across key focus areas in the most promising early-stage companies that are disrupting markets in the business of today and tomorrow.

Website
http://m12.vc
Industry
Venture Capital and Private Equity Principals
Company size
11-50 employees
Headquarters
San Francisco, California
Type
Public Company
Founded
2016
Specialties
venture capital, VC, investing, technology, corporate venture capital, cloud infrastructure, AI, ML, Business SaaS, communication, productivity, big data, analytics, and security

Locations

Employees at M12, Microsoft's Venture Fund

Updates

  • M12, Microsoft's Venture Fund reposted this

    View profile for Michelle Gonzalez

    CVP and Global Head of M12, Microsoft's Venture Fund, Board Member

    Innovations in the Data center  Every conversation about AI eventually comes back to, how will we build the infrastructure to keep up with it.      This week, Michael Stewart and I hosted a dinner on behalf of M12, Microsoft's Venture Fund, bringing together leaders from Microsoft, LinkedIn and founders from d-Matrix, togetherAI, Fireworks AI, and others who are tackling that question head-on, from improving compute efficiency to designing more sustainable systems at scale. 💡 Key themes from the room:  Capacity is keeping execs up at night. We’re hitting physical limits—power availability, skilled trades, and buildout timelines.  Efficiency can be rethought across the stack: power, cooling, networking, models.  Unlike SaaS, many AI applications aren’t “free to scale.” Without cost-efficient inference, new business models, startups risk scaling into bankruptcy.  As workloads emerge in robotics and physical systems, we may need to revisit the Edge.   Can specialized hardware for specific workloads help us gain efficiencies?  The pace of progress in AI infrastructure is incredible, and it was energizing to hear how much shared learning and openness there is across the ecosystem. I’m grateful to the founders and leaders who joined the conversation, and proud that M12, Microsoft's Venture Fund gets to support the people building what comes next.     #AIInfrastructure #FutureOfDatacenter #M12 #Microsoft #StartupEcosystem 

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  • M12, Microsoft's Venture Fund reposted this

    🎉 We're proud to announce that RAAPID INC has earned the Microsoft Healthcare AI Certified Software designation. This certification validates our technology against rigorous standards for ethical AI, data privacy, and responsible innovation in healthcare. As a Microsoft partner built on Azure and backed by M12, Microsoft's Venture Fund, this certification reinforces our commitment to delivering secure, trusted, and clinically sound AI to the payers and providers we serve. 👉 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁 - https://bit.ly/42wAzw5 . . . Chetan Parikh | Michael Clark | Derek Haynes | Sally Ann Frank

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  • At M12, we back founders who reimagine what’s possible — and micro1 is doing just that. The company is flipping the script on AI and education by recruiting professors and domain experts to teach machines, not the other way around. As featured in Forbes, micro1 is redefining how intelligence is built, blending human expertise with scalable AI systems. Read the full story here: https://lnkd.in/eVMZyjXW https://lnkd.in/eCBkKv9H

    View profile for Ali Ansari

    ceo at micro1

    "Fears that AI will overshadow human ingenuity overlook an important fact: the best systems are increasingly shaped by human creativity." Very well said, Ray. Human brilliance is needed now more than ever. ♥️

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  • 🚀 #SFTechWeek is almost here — and the future of AI will be front and center. On October 9th, M12 Managing Partner Todd Graham will join a panel of leaders shaping how human intelligence fuels AI training and innovation: 🌟 Ali Ansari, Founder of micro1 (an M12 portfolio company) 🌟 Arjun Desai, Co-founder of Cartesia 🌟 Rob McGrorty, Product Lead at Amazon AGI Labs The conversation will be moderated by Jules Qiu, Investor at Radical Ventures. Together, this group will explore how expert data, human-centered design, and ethical guardrails are shaping the next generation of applications — from frontier LLMs to enterprise agents and voice AI. If you’re building, investing, or scaling in AI, this is a conversation you won’t want to miss. 🔗 Register here to join us: https://lnkd.in/gnnDrfg4

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  • Spend is one of the clearest signals of where startups are headed. This new analysis from Andreessen Horowitz and Mercury maps the 50 AI-native apps capturing real dollars from early-stage companies. A few signals resonate with what we’re seeing across our portfolio: ➡️  Founders directing dollars toward capital-efficient AI adoption ➡️ Consumer-born apps rapidly entering enterprise workflows ➡️ Vertical AI gaining traction in recruiting, compliance, and customer service We’re glad to see our portfolio companies micro1 and Solve Intelligence recognized on the list, both building the AI-native foundations of tomorrow’s enterprise. The takeaway is clear: AI-native software is moving from experiment to enterprise standard faster than any prior wave of technology.

    View organization page for Andreessen Horowitz

    581,191 followers

    Startups are fundamentally reorganizing around AI. We analyzed spending from 200k+ Mercury customers to see where the dollars flow. The result: a map of the 50 AI-native apps shaping the future of work. Find the full list here: https://lnkd.in/eHmB5CJq

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  • M12, Microsoft's Venture Fund reposted this

    View profile for Marion Desmazières

    Portfolio Development at M12 Microsoft's Venture Fund | ex- Amazon & Alexa Fund | Venture Partner | Board Member | Startup Mentor | MBA, Tech Commercialization

    At M12, we believe the best innovation happens when startups and enterprises meet at the same table.     This week, we brought together leaders from one of our largest enterprise customers with founders from our portfolio: Relyance AI (Nitin Nagpal), Growthspace (Omer Glass), WorkBoard (Deidre Paknad), and Databook (Anand Shah). The showcase took place at the new Microsoft Experience Center One in Redmond.     A big thank you to Marty Collins, our Head of Portfolio Development, for opening the session and highlighting how M12, Microsoft's Venture Fund invests in and scales the startup ecosystem.     We look forward to hosting more of these gatherings, connecting enterprise leaders with startups that are shaping the future of AI, SaaS, and beyond.

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  • Welcome, Cheryl Cheng — our newest Managing Partner at M12! For Cheryl, early-stage investing starts and ends with founders. She seeks visionary teams who can balance the tensions every startup faces: growth vs. discipline, competitiveness vs. culture, and ambition vs. endurance. She’s especially energized by what’s ahead in AI. From healthcare and energy to supply chain and beyond, Cheryl sees massive opportunities to solve problems that once felt out of reach. So why join M12? It’s our position at the heart of the enterprise ecosystem — backing seed through Series B founders and helping them scale with Microsoft’s resources, channels, and technology. 📖 Dive into our Q&A with Cheryl for her take on founders, leadership, and the next wave of AI.

  • Stablecoins are quickly becoming the internet’s payment rails — and verifiable data is the key to unlocking enterprise adoption. Our portfolio company Space and Time is bridging those two worlds through a new partnership with Circle Ventures, integrating USDC directly into its blockchain data platform. This move makes it easier for enterprises and developers to combine trusted data with digital assets and build scalable onchain applications. At M12, we’re excited to support the Space and Time team as they continue to deliver the infrastructure powering the next wave of Web3 innovation. 🔗 https://lnkd.in/ezFikYnG?

    View organization page for Space and Time

    14,759 followers

    We're thrilled to collaborate with Circle Ventures to bring USDC to Space and Time. Stablecoins are quickly becoming the default payment rails for the internet. Integrating USDC gives enterprises a familiar, stable way to use Space and Time. It's easier than ever to prove your data onchain. Developers can use USDC to pay for ZK-proven queries on SXT Chain, where the funds are automatically converted into SXT. Space and Time is now connected to the global stablecoin economy. We're excited to unlock a new generation of institutions, enterprises, and data-driven apps onchain.

  • Multi-agent AI systems may dominate the headlines, but as James Wu notes, most enterprises are still working to get one agent to run reliably. Reliability, latency, and debugging aren’t edge cases — they’re the day-to-day blockers that slow adoption. For founders, this is the opportunity: solving these fundamentals is what will unlock the next wave of enterprise AI.

    View profile for James Wu

    Partner at M12 - Microsoft's Venture Fund // Angel Investor

    Over the past year, the buzz in the AI community has shifted from a focus on static LLMs to the promise of autonomous AI agents. We've all seen the demos and read the papers on sophisticated, multi-agent systems designed to solve complex problems.   Our investment thesis was built around a simple concept: the agentic future will be more of a coordination problem - coordination of routing prompts to the appropriate models, distributing tasks to subagents and managing state across distributed sytems. The core challenge wasn't just building a good agent, but building the infrastructure that allows thousands of agents to reliably and securely work together. However, after speaking with enterprise customers, a consistent and sobering reality has emerged: they are still stuck on getting a single agent to work reliably. In fact, there are now debates whether multi-agent systems are even the correct approach to building intelligent systems.   The conversation around multi-agent systems is a step ahead of where most customers are today. For all the talk of sophisticated agentic teams, the real-world problems facing developers are much more fundamental: - Brittleness: A simple change in an external API or a subtle shift in a user interface can cause a well-designed agent to fail - Cost and Latency: Running an agent requires multiple calls to an LLM, which is expensive and slow. This makes it difficult to justify for many business-critical workflows - Auditability and Debugging: When an agent fails, it's incredibly difficult to figure out why. - The Hallucination Problem: The core LLM can still "hallucinate" or invent actions, leading to unpredictable and often catastrophic failures in a live environments.   This "single-agent" gap is a big speed bump to unlocking enterprise adoption and not multi-agent systems, at least not today. The potential of complex, multi-agent future is still very much alive. But to get there, we must first build the tools that make the basic building blocks useable. The future of AI infrastructure starts with one agent, then may hundreds to thousands. How have you experienced this gap in your own work? M12, Microsoft's Venture Fund Michelle Gonzalez Todd Graham Michael Stewart Peter Lenke, CFA Monica Lim Brian Zhao

  • At last week's #AccelerateTogether event, CVP and Global Head of M12 Michelle Gonzalez uncovered four themes reshaping the future of software. What stood out to us at M12 is how these shifts are already playing out across our portfolio: 🚀 Product engineers using AI to own the full build cycle are driving faster iterations in areas like dev tools and cloud infra 🤖 Early agent deployments are changing how startups think about ops efficiency and customer engagement 💸 The economics of software are evolving fast; we’re hearing real questions from founders about balancing comp with inference spend 🌐 Partnerships are becoming the unlock for scale, especially in enterprise AI adoption The bottom line for startups? The next wave of category leaders will be defined by how they embrace AI, rethink incentives, and partner smart.

    View profile for Michelle Gonzalez

    CVP and Global Head of M12, Microsoft's Venture Fund, Board Member

    Incredible energy at Microsoft Mountain View campus for our Accelerate Together event this week. Great to catch up with leaders from General Catalyst Accel Mayfield Greycroft, and Benchmark and others — including Marcie Vu Navin Chaddha, Quentin Clark Chetan Puttagunta Lakshmi Shankar + hear from Tim Bozarth Sam Schillace Jay Parikh and Annie Pearl Aparna Chennapragada, Vasu Jakkal— who led sessions as we dug into the structural shifts changing how products get built and deployed. Themes that stood out for me: • The rise of the Product Engineer and embracing a maker’s mindset with AI tools   • Deploying and managing agents and how software orgs are evolving • The new economics of software — including a hot take: "what % of an engineer’s comp should go to inference spend?"   • Impactful product and GTM partnerships from Replit, Cognition, LlamaIndex, and Icertis — leveraging Microsoft to reach enterprise customers Huge thanks to everyone who joined and made the conversations fun and engaging. QQ:  Where do you think inference should land as a % of eng comp? #AccelerateTogether #AI #Startups #EnterpriseAI #ProductEngineering #M12

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