Giga Raises $61 Million in Series A to Scale Enterprise Voice AI

San Francisco–based Giga , a startup building voice-based AI agents for enterprise customer support, has raised $61 million in Series A funding led by Redpoint Ventures , with participation from Y Combinator and Nexus Venture Partners . Founded by Varun Vummadi and Esha Manideep , both IIT Kharagpur graduates and Forbes 30 Under 30 honorees , Giga creates AI systems capable of handling live voice interactions for businesses at scale. The company already works with DoorDash and plans to expand into Fortune 100 enterprises while increasing its engineering and deployment teams. “The funding will help us scale usage within large enterprises and grow our team,” said Varun Vummadi, cofounder and CEO of Giga. Automating Voice Workflows at Scale The voice AI sector has become a competitive space, with startups like ElevenLabs and Vapi alongside technology giants such as Amazon and Microsoft . The market is expected to expand from $3.14 billion in 2024 to $47.5 billion by 2034, as companies adopt automation to handle growing customer-service volumes. Giga’s platform enables enterprises to automate routine voice interactions such as order updates, policy checks, or scheduling requests. “It’s about giving time back,” said Vummadi. “Even in chat or calls, people go through ridiculous flows. We want to simplify the process so issues get resolved easily and quickly.” The startup’s deployment model allows companies to upload transcripts and policy documents, which are automatically processed to train Giga’s AI systems. “We’re very product-based,” Vummadi added. “Companies can upload existing transcripts and policies, and we automatically build this into our system, so the time to value is dramatically low.” Real-Time Orchestration and Enterprise Deployment Giga has developed a real-time orchestration layer that manages simultaneous tasks like listening, comprehension, database access, and response delivery, all within half a second. This infrastructure allows the AI to manage end-to-end customer calls without human assistance. At DoorDash, Giga’s system supports operations across languages and platforms. “Giga leveraged usage data to deliver measurable improvements, including fewer escalations, faster resolution paths, and more efficient workflows,” said DoorDash cofounder Andy Fang . “As we continue to grow across more than 40 countries and serve nearly 50 million people each month, partnerships like this are critical to delivering better outcomes for consumers on a global scale.” By focusing on speed and integration, Giga makes its technology an extension of enterprise systems rather than a standalone support bot. Its AI agents operate within existing customer service workflows, ensuring continuity and faster implementation. Tackling Language Bias and Expanding into Regulated Sectors Automated voice systems often face challenges with regional accents and speech diversity. Giga says it is working to address these through multilingual large language models and adaptive preference storage. “We have seen a lot of accent issues go away if people speak in their native language,” said Vummadi. “Multilingual is a very powerful asset. We also store user preferences over time, so every interaction gets better.” The company is also preparing to expand into regulated industries such as finance and healthcare. For these sectors, Giga deploys its technology directly on clients’ own cloud infrastructure using open-source models, ensuring that no customer data is accessed externally. In financial services, Giga’s AI is already being used to automate compliance-related processes. When a transaction deviates from typical behavior, the AI can reach out to confirm its source and log details required by regulators. “Those processes will be automated using AI, basically like a human reaching out,” said Vummadi, adding that the system can cross-check data against platforms like Zillow to verify property details and prevent fraud.

Giga Raises $61 Million in Series A to Scale Enterprise Voice AI

Automating Voice Workflows at Scale

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