Redefining VC. Accelerating Growth.
From Sigal to Scale - Backing Defensible AI at the Application Layer
At V11, we invest in the application layer of AI — where technologies meet end-users and deliver real utility. This is where AI becomes sticky, defensible, and irreplaceable.
We focus on companies building AI copilots, vertical AI platforms, and physical AI applications — tools that embed into workflows, learn from usage, and create self-reinforcing feedback loops. These products don’t just scale — they defend themselves as they grow.
The best application-layer startups combine network effects, data moats, and deep user integration. That’s where long-term value compounds — and that’s where we invest.
Our Differentiated Edge
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We invest where AI becomes utility — copilots, assistants, and specialized tools embedded in real workflows.
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We prioritize companies with strong retention, proprietary datasets, network effects, and product-led distribution.
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Through our accelerator platform, we work closely with early-stage founders — giving us privileged insight into how great teams operate before they scale.
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By combining insights from our investment arm and accelerator, we’re building a proprietary signal engine — using execution data, and founder behaviors to inform future decisions.
Signals from Product. Conviction from Data.
Signals from Product. Conviction from Data.
Growth-Engineered, Insight-Led
At V11, we don’t just invest — we support scale.
Through our accelerator platform, we equip founders with strategic guidance, expert frameworks, and investor-readiness tools to help them grow faster and smarter. While we invest at the later stage, our early involvement through the platform gives us a front-row seat to execution quality — before others catch on.
We're actively building a data-driven engine that will use platform insights, behavioral signals, and market intelligence to sharpen our investment decisions over time.
The Next Generation of Investing Starts Now
We are building with those who see the future before others do.
Building the future of AI/SaaS? Tell us what you're working on.