


Dippy x Google: Planet Scale AI
Join us at Planet-Scale AI — a day of discussing frontier AI breakthroughs. Hosted at Google Toronto by Dippy, this gathering brings together the sharpest minds in AI research, product, and infra to explore what it really takes to build for billions.
Get inside the playbooks of teams shipping with cutting-edge models today, see why GCP is becoming the stack of choice, and plug into Toronto’s fast-growing AI builder scene. Skip the theory — come see what it takes to ship at scale.
About Dippy AI
Dippy is one of the world's leading AI companion apps with 8M+ users. The app has ranked #3 on the App Store in countries like Germany, been covered by publications like Wired magazine and the average DAU spends 1+ hour/day on the app.
Speakers
Hang Chu: CEO and Founder @ Viggle AI
Toronto-based Viggle AI is one of the fastest-scaling consumer AI startups on the planet with 35M+ users. Viggle has raised over CA$26M from a16z and is behind JST-1, a cutting-edge physics-aware 3D video foundation model that lets creators generate lifelike character animations from text prompts.
Rob Myers and James Woodman: CEO and COO @ Manifold Labs
Rob and James are the founders of Austin-based Manifold Labs. The duo is taking a first-principles approach to rethinking how intelligence is distributed, queried, and owned on the open web. Manifold has raised $10M+ in funding from investors including Ram Shriram (Founding Board Member @ Google) and Logan Kilpatrick (Product Lead @ Google's AI Studio).
James Altucher
James Altucher is a serial entrepreneur, bestselling author, and early-stage investor with over 20 startups under his belt. He’s the author of WSJ bestseller Choose Yourself and 25+ books on startups, investing, and unconventional thinking. James now hosts The James Altucher Show, where he interviews top performers across tech, investing, and media.
Our Sponsors
Ridges AI
Proudly based in Toronto, Ridges AI (Subnet 62 on Bittensor) builds open source AI agents that compete to solve real-world coding tasks—replacing human engineers end-to-end.
Their agents are evaluated on SWE-Bench and can earn $10,000+ per day in a live, tournament. Ridges is helping define the future of autonomous software engineering.