Series A Announcement: Giga Raises $61M to Transform Customer Support with Self-Improving AI

Customer support is broken. Anyone who has spent an hour on hold, been transferred six times, or received a scripted response that missed the point knows this viscerally. Seventy percent of customers report frustration with traditional IVR systems, while support volumes continue to climb.

Today, Giga announced $61 million in Series A funding led by Redpoint Ventures, with participation from Y Combinator and Nexus Venture Partners, to rebuild customer support infrastructure from the ground up—with AI agents that understand context, emotion, and complexity.

From Dorm Room to Enterprise Scale

Giga's story began in a college dorm at IIT Kharagpur, where Varun Vummadi and Esha Manideep started fine-tuning large language models for enterprises. Through customer conversations, they discovered the real opportunity: customer support was desperate for transformation but resistant to existing AI chatbots.

After joining Y Combinator's Winter 2024 batch, the team—both now Forbes 30 Under 30 honorees—refined their vision into something different: not just another chatbot, but AI agents that reason, act, and resolve issues end-to-end. The $61M Series A, which values Giga at an estimated $200-300M post-money, validates this approach at a crucial inflection point in enterprise AI.

The Problem: Support That Fails at the Edge

Traditional support systems are built around scripts, IVRs, and handoffs. They fail precisely where customers need help most:

The result: slow resolution, high costs, and inconsistent experiences that erode customer trust.

The Solution: Three Pillars of Intelligent Support

Giga's platform is built on three core capabilities that set it apart:

1. Self-Improving AI Agents

Giga's agents continuously improve themselves, automatically increasing resolution rates from around 60% to up to 98% without manual intervention. Agents learn from every interaction, adapting to new scenarios and optimizing their own performance in real-time—it's not just automation, it's evolution.

2. Deployment in Days, Not Months

While competitors take quarters to deploy, Giga customers go live in under two weeks. This speed comes from pre-built integrations and workflows that minimize engineering lift, with calibrated rollouts by channel or category to de-risk activation.

3. World-Class Voice Experience

Support for 99 languages—not just translation, but actual understanding across accents, slang, emotional nuance, and cultural context. With ultra-low latency voice processing, Giga's agents handle the real-world complexity of global support at scale.

Production at Scale: The DoorDash Partnership

Giga's agents are live in production for DoorDash's Dasher support—a critical segment of operations at a company processing over 10 billion lifetime orders across 500,000+ merchants, 8+ million Dashers, and nearly 50 million monthly consumers in 40+ countries.

In production, Giga's agents achieved over 90% "Did We Resolve" (DWR) rates across 99 languages. This demonstrates the platform's ability to handle complex, multilingual support scenarios at enterprise scale in real-world conditions.

A representative use case shows the power: when a geofence mismatch occurs (the delivery address doesn't match the location), the AI agent detects the issue, verifies the correct address with the consumer, and guides the Dasher through compliant rerouting or completion procedures—transforming what was once multi-minute coordination into an automated real-time reasoning loop.

Why Now: The Perfect Convergence

Three forces make this the right moment for Giga's approach:

AI Infrastructure Has Matured

Modern LLMs can handle the reasoning required for complex support scenarios, but only if properly architected—which is where Giga's proprietary fine-tuning and voice AI capabilities make the difference.

Economic Pressure is Intense

Companies face growing support volumes while struggling to scale teams. Giga delivers the potential to reduce call center costs by 50-70% while improving resolution quality.

Enterprises Are Ready

After years of chatbot disappointment, companies understand that real AI support requires more than scripted responses. They're ready to deploy agents that handle complexity—as long as those agents deploy quickly and prove ROI in weeks.

What's Next

With Series A funding, Giga is expanding the platform to accelerate three areas:

The long-term vision extends beyond support. Giga aims to build an enterprise operations platform to transform every enterprise company globally—starting with the highest-impact, highest-volume workflows where intelligence and action create measurable value.

The Access Fund Perspective

Our investment in Giga reflects our conviction that AI will fundamentally transform enterprise operations, starting with customer support.

Why We Invested

1. Exceptional Founding Team

Varun and Esha bring both technical depth from IIT Kharagpur and the execution speed demonstrated through their Forbes 30 Under 30 recognition. Their ability to go from dorm room to DoorDash production in under two years is remarkable.

2. Proven Execution at Scale

The DoorDash deployment proves Giga can handle enterprise complexity at global scale. Over 90% resolution rates in production validate the technology works in the real world, not just demos.

3. Sustainable Competitive Advantage

Self-improving AI creates a compounding moat—each customer interaction makes the system better, widening the gap with competitors still relying on manual tuning.

4. Market Timing

Enterprises are finally ready to deploy AI that actually works. After years of chatbot disappointment, the market understands the difference between scripts and true intelligence.

Investment Thesis Validation

This funding round validates several key aspects of our investment thesis:

Enterprise AI Adoption

Giga's rapid deployment at DoorDash demonstrates that enterprises are ready to adopt AI solutions that deliver measurable value quickly.

Self-Improving Systems Create Moats

The platform's ability to continuously improve creates natural competitive advantages that compound over time.

Infrastructure Timing is Critical

Investing in AI infrastructure before the market fully recognizes its importance allows us to capture significant value as the ecosystem develops.

Built for Execution

From a college dorm to powering DoorDash's 10 billion orders. From around 60% to up to 98% resolution rates. From theory to battle-tested reality at global scale.

Giga isn't just improving customer support—they're rebuilding it for the AI era. And with $61M in new funding and proven traction at enterprise scale, they're positioned to lead that transformation.