Giga

Giga is an enterprise AI agent platform for customer support, built by Giga AI, Inc., the San Francisco company formerly known as GigaML. Rather than selling a chatbot widget, Giga sells agents that finish work: they read the customer's request, look up the order, account or booking in your own systems, take the action, and only hand off to a person when a policy says they must. One agent covers chat, voice and email, so a customer can begin in a messaging thread and continue on a call without repeating themselves.

The product is organized as a loop of three stages the company calls Build, Observe and Improve. Build is where policies, knowledge, brand voice and tools are configured. Instructions are written as readable scenarios, and every connected API has to be explicitly granted to an agent, so an integration that exists in your stack does not silently become something the agent can call. Observe turns a metric into evidence: open the conversations behind a resolution rate, read the transcript, see which tool calls ran, check evaluation fields such as hallucination risk and sentiment, and find where the customer's intent diverged from the agent's action.

Improve is handled by Scout, Giga's agent-building agent. You give Scout a KPI, such as resolution rate, CSAT or transfer rate, plus a target and how often to recompute it. Scout groups flagged conversations into opportunities, proposes specific policy or scenario changes grounded in that evidence, projects the lift on your metric, and can test a change on a slice of traffic before you publish. Scout also works inside Slack, so a team can ask it a question in a thread and approve the fix without leaving the channel.

Around that core sit several products. Agent Canvas is the visual builder for a first multimodal agent, holding scenarios, supporting documents, personalization and evaluation in one editor. The CLI ships and operates agents from a terminal through the giga-sdk, including log inspection filtered by conversation and time window. The Browser Agent executes workflows inside browser-based systems that have no API, signing in like a person and completing the task in an isolated cloud browser while the call is live. Voice Experience covers 90+ languages with dynamic interruption handling and emotion detection, and Insights packages the analytics and suggestion layer.

Deployment is the commercial argument. Giga says a first agent runs in about ten minutes and most teams are in production in under two weeks, using existing transcripts and policy documents as raw material. DoorDash is the reference customer, reporting a Did We Resolve rate above 90% while handling delivery issues end to end. The platform sells to enterprises, with SOC 2 Type II, ISO 27001, ISO 42001 and PCI DSS 4.0.1 attestations published in its trust center.