Giga
Series A
Giga builds AI-powered voice and chat agents for enterprise customer support.
Giga builds AI-powered voice and chat agents for enterprise customer support.
Giga provides an AI-powered enterprise platform for voice and chat customer support agents. The platform includes Agent Canvas for policy design, Voice Experience for human-like real-time conversation, Browser Agent for executing actions in browser-only systems, Smart Insights for continuous improvement from production data, and Hallucination Correction for real-time accuracy verification without added latency.
The platform supports 90+ languages and is deployed by Fortune 100 enterprises including DoorDash, with the ability to go live in under two weeks compared to months for traditional solutions.
The voice AI market is projected to grow from $3.14 billion in 2024 to $47.5 billion by 2034. Giga is positioned at the intersection of enterprise customer support, real-time voice AI, and agentic automation, with a platform that can handle both voice and chat workflows while executing actions across multiple systems.
The company is expanding into regulated industries including healthcare and financial services, and is building an enterprise operations platform that extends beyond support into broader workflow automation. With its ultra-fast deployment and multilingual capabilities, Giga is targeting global enterprises that need to scale support operations across multiple markets.
Giga's key strengths include ultra-fast deployment of less than two weeks versus months for competitors, a unified real-time orchestration layer that manages listening, reasoning, and tool execution in under half a second, and the ability to handle complex multi-step workflows including browser-based actions. The platform also offers self-improving agents that automatically increase resolution rates from 60% to 98%.
The company provides on-premise deployment options for regulated industries with compliance certifications including PCI DSS, SOC 2, ISO 27001, HIPAA, and GDPR, and deploys using open-source models when clients require complete data control.
