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AI Startup Giga Secures $61M Series A to Scale Enterprise Support Agents

Munish Gupta Munish Gupta
|
Published on November 12, 2025

AI startup Giga has raised US$61 million in Series A funding led by Redpoint Ventures to expand its intelligent voice and chat agents for enterprise customer support, aiming to enhance efficiency, reduce escalations, and transform large-scale service operations globally.

Giga secures 61M dollar in new funding

Redpoint Ventures led a Series A funding round for fast-expanding Artificial Intelligence (AI) startup Giga, which is transforming corporate consumer support, for US $61 million.

Founded in 2024 by Varun Vummadi (CEO) and Esha Manideep (CTO), Giga seeks high-compliance, high-volume customer-support operations, sectors like e-commerce, telecom, health-tech, and financial services. Designed to manage sophisticated support processes at enterprise scale, Giga creates voice- and chat-based ‘intelligent agent’ products. Emphasised in their offer are:

Able to discern tone, intent, and context, multilingual emotionally aware dialogues. Rapid deployment: their platform provides support agents to go live in less than two weeks, a far quicker turnaround than is usual for corporate software installations. Early deployments, according to high-resolution and deflection data, reveal call-centre escalations significantly declining and resolution rates increasing toward 90-plus per cent.

REAL ALSO: Lumen Commits $200M+ to Palantir Software in Pivotal AI Infrastructure Alliance

With the $61 million infusion, AI firm Giga will be able to grow its technical team, grow its go-to-market efforts, and implement its system for more worldwide consumers. For Redpoint and other investors, the attractiveness comes from supporting a business that establishes itself not just as another chatbot supplier but as a fundamental ‘voice AI infrastructure’ supplier for corporate assistance.

Giga AI

Every year, businesses invest billions in customer service activities but often have trouble managing large call volumes, protracted wait times, and erratic user experiences. Giga argues that machine-driven agents can alter the economics and quality of support when designed with situational awareness and voice subtlety.

Important success aspects will include maintaining low latency and great accuracy in many languages and accents, and making sure sensitive settings have data security and compliance. It also consists of showing significant return on investment in customer happiness, cost savings, and resolution rates. Giga might become a significant player in automating business support processes if executed properly; its recent funding round places it quite toward that objective.

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