According to Fortune, Giga just raised $61 million to expand its enterprise voice AI platform, with food delivery giant DoorDash already as a customer. Founded by IIT Kharagpur graduates and Forbes 30 Under 30 alums Varun Vummadi and Esha Manideep, the company is targeting Fortune 100 enterprises with its fresh funding. The voice AI market is projected to explode from $3.14 billion this year to $47.5 billion by 2034, putting Giga in a crowded space competing with both startups and tech giants. Giga’s system can perform multiple real-time actions in under half a second and claims to deploy enterprise-scale AI support in less than two weeks. The company is already working with several financial services clients and plans to expand into more regulated industries like healthcare and finance.
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Speed as competitive edge
Here’s the thing that really stands out about Giga’s approach – they’re selling speed. Vummadi says they can deploy enterprise-scale AI support in under two weeks. That’s basically the tech equivalent of moving at light speed compared to typical enterprise software implementations. Their pitch is simple: upload your existing support transcripts and policies, and they automatically build everything into their system. No months-long consulting engagements, no endless configuration meetings. Just upload and go.
And they’re not just fast to deploy – their system operates in real-time, handling listening, understanding, decision-making, database checks, and speaking back all in under half a second. At DoorDash, their system maintains live connections with Dashers, calls consumers to verify addresses, and handles policy compliance automatically. That’s the kind of practical automation that actually moves the needle for businesses.
The accent problem
Now let’s talk about the elephant in the room – voice AI has historically been pretty terrible with accents and non-standard speech patterns. Most systems are trained on “standard” American or British English datasets, which means anyone with a regional accent, elderly users, or people with speech impediments often get completely misunderstood. This isn’t just an inconvenience – it’s becoming a real problem as these systems get deployed in critical areas like healthcare and government services.
Giga’s approach to this is interesting. Instead of trying to perfect accent recognition, they’re pushing multilingual capabilities. Vummadi says they’ve seen accent issues “go away if people speak in their native language.” Basically, if the system can’t understand your accent in English, it might understand you perfectly in your native tongue. They’re working with open-source and multilingual LLMs to make this happen, and they store user preferences over time so interactions get better. It’s a clever workaround to a problem that’s plagued voice AI for years.
Regulated industries play
What’s really smart about Giga’s strategy is their focus on regulated industries like finance and healthcare. They deploy their entire system on the client’s own cloud infrastructure using open-source models, which means Giga never touches the actual client data. For financial services clients, they’re already automating compliance processes like flagging unusual transactions and maintaining the paper trail regulators require.
Think about that for a second – an AI that can cross-reference details against external databases like Zillow to verify property sales and prevent fraud. That’s moving way beyond simple customer support into core business operations. It’s no wonder Redpoint Ventures’ Satish Dharmaraj is excited about Giga building “a foundational AI layer for customer voice” rather than just another support bot.
Voice AI’s moment
The voice AI landscape in 2025 is getting increasingly sophisticated, but the real test is whether these systems can handle the messy reality of human conversation. Giga’s $61 million raise suggests investors believe they’ve cracked part of the code. But the question remains: can any AI system truly handle the emotional nuance and unpredictable nature of customer interactions?
DoorDash’s co-founder Andy Fang says Giga has already delivered “measurable improvements, including fewer escalations, faster resolution paths, and more efficient workflows.” That’s the kind of results that get enterprise buyers excited. If Giga can continue delivering those kinds of outcomes while expanding into healthcare and finance, they might just have a shot at standing out in this crowded market. The race is on to see who can build voice AI that doesn’t just work – but works for everyone.
