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Episode Details
EPISODE INFO
- Released
- November 6, 2025
- Duration
- 35m
- Channel
- YC Root Access
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Giga is building the next generation of customer support — real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world’s largest enterprises. The company recently raised $61M to power its growth, combining contextual reasoning, secure orchestration, and sub-second response times to deliver human-quality conversations at scale. In this interview with YC's Harj Taggar, co-founders Varun and Esha share how they’re reimagining enterprise support from the ground up, what it takes to build AI for high-compliance industries, and why emotionally intelligent agents are the future of customer experience. Learn more about Giga: https://giga.ai Chapters: 00:00 – Intro & Origins of Giga 00:40 – The Problem with Customer Support Today 02:25 – What Giga Does and Who It Serves 05:10 – Building Emotionally Intelligent AI Agents 08:15 – Real-Time Responses at Enterprise Scale 11:45 – Designing for Compliance and Security 15:00 – Human-Quality Conversations at Machine Speed 18:20 – Lessons from Early Customer Deployments 22:10 – Raising $61M to Power the Next Generation of Support 26:45 – What It Takes to Build for the Enterprise 30:15 – The Future of Customer Experience 33:40 – Advice for Founders Building in AI
SPEAKERS
Harj Taggar
hostPartner at Y Combinator and interviewer/investor speaking with the Giga co-founders.
Esha
guestCo-founder of Giga, discussing the product/technical approach and the company’s YC origin story.
Varun
guestCo-founder of Giga, describing enterprise support AI agents, customer wins, fundraising, and hiring/culture.
EPISODE SUMMARY
In this episode of YC Root Access, featuring Harj Taggar and Esha, Giga: The AI Platform for Enterprise Support explores Giga builds productized AI support agents scaling complex enterprise calls Giga won large enterprise customers like DoorDash by shipping a product that goes live in about a week rather than relying on slow, forward-deployed consulting implementations.
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