The Sell-First Founder

Sukhpal bootstrapped Reetail (e-commerce builder), sold it in 2024, and now he's building Engyne - an AI tool helping creators tell their stories and grow their audience.

His approach is simple but powerful: sell before you build. Validate demand first, then write code. After 8+ years building B2B and B2C products, he's cracked the code on storytelling that drives traction.

Most founders build perfect products that nobody buys. Sukhpal will show you how to flip that script.

Speed as a Business Model

Moe‘s building TISC - the fastest search engine for workflows where milliseconds matter. Think NFL coaches calling plays in real-time or support agents getting answers in under a second.

He co-founded TISC in May 2024, raised US$2.1M pre-seed from N49P and Panache Ventures, and is already testing with a dozen NCAA teams.

His thesis: in high-stakes environments where there's too much data, too little time, and an adversary working against you, speed isn't a feature. It's the product.

The 23-year-old Waterloo dropout bringing AI to the NCAA sideline. → Read his Globe and Mail story

The AI Exit You Need to Hear About

Lee built zofiQ, an agentic AI platform for IT service providers. ConnectWise (backed by Thoma Bravo) acquired it. Now he's their SVP Product AI Platform, scaling what he built globally.

Here's what matters: Lee knows how to take AI from demo to deployment to exit. He'll walk through the real decisions that made the difference - product, ops, finance, and how to position for acquisition when the time comes.

If you're building in AI, you need to hear this story.

Three stage talks. One intimate fireside. 

Monday, March 2 | 6PM - 9PM | MaRS Discovery District

How to sell, how to raise, how to scale, how to exit. Four founders. One night. The playbooks you need to hear.

If you're building something that matters, you need to be in this room.

Toronto Startup Just Raised $169M to Challenge Nvidia

Toronto-based Taalas raised $169M - $219M total - from Quiet Capital, Fidelity, and chip industry veteran Pierre Lamond to build AI chips that run faster and cheaper than conventional approaches.

Their edge: custom chips built for specific AI models, fabricated in 2 months vs. Nvidia's 6.

This is the kind of deep tech bet Canadian tech needs more of.

Global Regulators Warn AI Companies

February 23: Privacy regulators worldwide issued a joint statement on AI-generated images/videos of real people without consent.

The problem: Non-consensual intimate imagery, deepfakes, cyber-bullying, child exploitation - enabled by AI in social platforms.

What's required:
- Prevent harmful content at generation
- Be transparent about capabilities
- Fast removal mechanisms
- Enhanced child protections

Why it matters: Criminal offence in many jurisdictions. Coordinated enforcement coming.

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