Giga

Giga builds enterprise voice and chat AI agents that resolve customer support and operational workflows autonomously, aiming to sound and reason like a capable human agent rather than a scripted bot. Founded in 2023 in San Francisco as Giga ML by Varun Vummadi and Esha Manideep Dinne, both IIT Kharagpur alumni and Forbes 30 Under 30 honorees, the company began by helping enterprises run large language models on their own infrastructure, then moved up the stack into ready to use support agents. It raised about sixty five million dollars, including a sixty one million dollar Series A in November 2025 led by Redpoint Ventures with Y Combinator and Nexus Venture Partners, and counts DoorDash and Zepto among its customers.

The agents run across voice, chat, and SMS in more than ninety languages, detect and switch language mid call, remember customer preferences, and answer with roughly four hundred millisecond latency so a call feels immediate. Teams build and govern them in Agent Canvas, defining brand voice, policies, workflows, guardrails, and escalation paths in plain language, then simulate edge cases and run quality and compliance checks before deploying. Smart Insights reads across thousands of conversations to surface patterns and root causes and recommend policy changes, and the platform can ingest a company's transcripts and policies to stand up an agent in under two weeks. Giga reports resolution rates above ninety percent in production.

For regulated industries like healthcare and finance, Giga deploys its entire system on the customer's own cloud using optimized open source models, so sensitive data never leaves the client environment, backed by SOC 2, HIPAA, GDPR, and ISO 27001 compliance. Because it runs its own tuned models, it claims roughly three times faster inference at about seventy percent lower cost than standard commercial APIs. For a large business drowning in repetitive calls and tickets that wants human quality voice automation it can deploy privately and fast, Giga is a strong option; a small team wanting a quick web chat widget will find it built for heavier enterprise support.