Problem

Enterprise support teams must resolve high-volume, complex customer issues across multiple internal and legacy systems, often during live chat or voice interactions. Conventional automation can require APIs, brittle scripts, and months of integration work, while human agents must log into tools, navigate workflows, and take action manually. The resulting pain is slower resolution, more escalations, and less efficient support operations. Giga’s clearest use case is handling live customer issues—such as delivery problems, refunds, or compliance decisions—end to end inside the systems support teams already use.

Product / Service

Giga provides AI agents for enterprise support that understand a customer’s request, determine the required steps, and execute them directly in a secure cloud browser. The agent can sign into browser-based or legacy systems, click through interfaces, validate inputs, and complete workflows without requiring API integrations. It supports live chat and voice as well as self-serve experiences embedded inside a company’s product.

The delivery model emphasizes rapid deployment—days rather than quarters—alongside enterprise controls. Companies can define policies, escalation rules, workflows, and tool connections; test behavior; and monitor outcomes. Actions are visible, policy-governed, logged, and auditable, allowing Giga to combine human-like execution with oversight and compliance.

Market

Giga competes in enterprise customer-support automation and the broader market for AI agents that can execute workflows, rather than merely generate conversational replies. Its positioning combines omnichannel support agents with a browser-based execution layer that works across existing and legacy systems. The supplied company materials do not name direct competitors, so a specific competitor set cannot be established from the available evidence; the closest comparison categories are AI customer-service platforms and browser-use or computer-use agents.

The company shows meaningful customer and product traction rather than appearing purely pre-revenue: it says its agents handle millions of conversations, support 99 languages, and maintain more than 90% resolution accuracy in production. DoorDash is presented as a customer, with Giga citing fewer escalations, faster resolution paths, and more efficient workflows at DoorDash’s global scale. Giga also names enterprise customers including Postman, Rio, Capital.com, Afriex, Toast, Remedy Meds, and Flex, although the available materials do not disclose revenue, funding, or contract values.