W Ventures Conviction early • Endurance over time

Backing founders who
create the path.

W Ventures invests in founders whose companies may begin as products, but have the potential to become infrastructure, habit or default behavior.
What W means
Weight over noise
A preference for depth over hype, substance over speed, and companies that matter long after cycles pass.
Investment style
Optimize for belief over access
W Ventures is built around concentrated early bets on exceptional founders with the potential to define a category, not simply participate in one.
Operator edge
Closer to the work than most capital
Our edge comes from operating experience across product, platforma nd global technology markets, which means sharper questions, faster pattern recognition and more practical support.
Wei Zheng

Wei Zheng

Founder and solo GP of W Ventures.

“W” stands for Wings, Ways, and the belief that the most important companies don’t follow predefined paths — they create them. W Ventures is built on the idea that a small number of exceptional founders will define the future of AI and reshape how the world operates.

Wei brings a rare, full-spectrum perspective: she has invested from within leading global technology platforms, backed founders independently as an angel, and built products herself from day one. Few investors operate with conviction across both sides of the table.

Her experience spans global markets, across both developed and emerging ecosystems — giving her an edge in identifying breakout companies before they become consensus.

At W Ventures, she backs founders early, often before the world sees it — partnering with intensity, clarity, and long-term conviction. The focus is simple: support those building enduring AI companies that will matter a decade from now.

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Portfolio

Companies building the next technology platform shifts.

W Ventures partners with frontier teams working on durable technical advantages, category-defining markets, and long-term compounding impact.

AMI Labs

Frontier AI

Advanced Machine Intelligence is building world-model-based AI systems that understand the real world, maintain persistent memory, reason, plan, and remain controllable.

Its action-conditioned models are designed to predict consequences and support real-world automation across industrial, robotics, wearables, and healthcare use cases.

  • World models
  • Real-world AI
  • Paris · New York · Montreal · Singapore
Visit AMI Labs →