Yash Shah

Entrepreneur | AI/ML | Product

Vancouver, BC Canada

Hey, I’m Yash. I build AI-native products for complex, high stakes workflows where trust and accuracy matter, bringing together product judgment, engineering, and execution to deliver useful, reliable, and scalable systems.

Projects

Building AI-native products that deliver real business outcomes.

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Agent Studio

www.agentstudiohq.com

B2B AI solutions for SMB workflow automation

FounderActive

Focus: Workflow Automation
Traction: 5 SMB pilots
Year: 2026
Stage: Early Traction

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Autonomy Finance

www.autonomyfinance.ai

AI-augmented financial intelligence for advisors and clients

Co-Founder (Head of Product & AI)Exited

Focus: Personal Finance Intelligence
Funding: $1.5M pre-seed
Year: 2025
Stage: Alpha

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TakeStock

AI-native personal finance and market intelligence platform

FounderExited (Acquired by Autonomy Finance)

Focus: Personal Finance AI
Traction: 500+ beta users
Year: 2022-2025
Stage: Acquired

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Skills & Expertise

Turning AI ideas into production-ready products people pay for.

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Product Management & Strategy

Cross-Functional Leadership

Full-Stack Engineering

Agentic AI System Design & Architecture

UX & Product Design

Thoughts

Real lessons from building AI agents, products, teams, and judgment.

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AIApr 12, 2026

The AI Agent Understanding Gap

Most business owners are not afraid of AI itself. They are afraid of not understanding what the agent can see, change, store, and decide.

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AI SystemsMar 18, 2026

Why Proprietary Agent Frameworks Win

Generic agent tools are useful for experiments, but real businesses need orchestration, ownership, memory, permissions, and tools designed around their workflows.

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StartupsFeb 24, 2026

What TakeStock Taught Me About AI Technical Debt

AI technical debt does not always look like messy code. It often hides in prompts, evaluation gaps, unclear ownership, and workflows nobody can explain.

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LearningDec 16, 2025

Mountaineering and Founder Judgment

The mountains taught me that judgment is built before the summit attempt. Startups feel similar because the costliest mistakes usually begin before the crisis.

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