Last updated: 2026-08-12
Giga is an AI support agent platform, backed by a $61M Series A in November 2025, that DoorDash uses to resolve over 90% of support tickets across a 30-day measurement window ending October 2025. It builds agents via a conversational tool called Scout and covers voice, chat, email, SMS, and WhatsApp in 99 languages.
About Giga
Giga is an AI support agent platform built by Giga AI Inc., a San Francisco startup founded in 2023 by Varun Vummadi and Esha Dinne that went through Y Combinator's Summer 2023 batch. The company raised a $61 million Series A in November 2025 led by Redpoint Ventures, following a $3.6 million seed round, bringing total funding to roughly $65 million. Giga sells autonomous support agents to enterprises handling high call and ticket volumes, with DoorDash reporting a resolution rate above 90 percent across a 30 day measurement window from September 20 to October 20, 2025, on hundreds of thousands of daily support requests. A conversational setup tool named Scout reads through a company's existing rules and support history to draft a starting agent, which teams then refine in a drag-and-drop workspace and hand off to an analytics layer that keeps watching live traffic for coaching opportunities. A separate capability, Browser Agent, drives a company's own internal admin tools directly, clicking and typing the way a person would, so a new workflow can go live without a backend integration project first. A terminal based CLI, distributed as the giga-sdk package on PyPI, lets engineering teams ship, test, and roll back agents like production software, with customers reportedly running it against agents that resolve over 100,000 tickets a day. Giga targets enterprise support and operations teams across eight primary verticals: fintech, banking, technology, retail, telecom, healthcare, freight and logistics, and hospitality, with additional industry pages covering automotive, aviation, insurance, manufacturing, utilities, and health and wellness. It supports voice, chat, email, SMS, WhatsApp, and iMessage from a single agent configuration, positioning it against both voice-first vendors and text-only helpdesk incumbents. Confirmed enterprise customers include DoorDash, Postman, Capital.com, and Toast. Giga does not publish pricing. Deals are negotiated directly with sales and, based on the company's funding stage and enterprise customer base, third party estimates place annual contracts in the six figure range, similar to Decagon and Sierra rather than lower cost self-serve tools like Ada or Intercom Fin. The platform is web based and carries certifications across the SOC 2, ISO 27001, and ISO 42001 frameworks, with its public trust center also referencing HIPAA and GDPR coverage. Giga's roadmap centers on closing the gap between its current resolution rates and a stated 98 percent target with DoorDash, and the company continues to expand its industry and comparison content, including dedicated pages contrasting Giga against Zendesk, Ada, Decagon, Sierra, Intercom Fin, Cresta, Forethought, and Salesforce Agentforce.
Pricing
No public pricing. Giga sells custom enterprise contracts negotiated through sales demos; third-party estimates place annual contracts in the six-figure range, comparable to Decagon and Sierra.
Key Features
- Agent Canvas: A visual builder where teams map conversation flows, escalation paths, and compliance rules in plain language instead of code.
- Scout onboarding: A conversational setup flow that ingests a company's policies, knowledge base, and past support tickets to auto-generate a working agent.
- Browser Agent: Lets the AI log into a company's existing internal tools and complete tasks like a human agent, so teams can start resolving tickets in days without building API integrations first.
- Smart Insights: Analyzes live conversation data to surface root causes and recommend policy changes tied to resolution rate, escalation rate, and CSAT.
- Giga CLI (giga-sdk): A terminal tool on PyPI for shipping, testing, and rolling back agents like production software, including CI-gated deployments and GitHub-synced knowledge bases.
- Omnichannel voice and text: Runs a single agent configuration across voice, chat, email, SMS, WhatsApp, and iMessage in 99 languages, with sub-second voice response latency.
Pros
- DoorDash's public case study reports a resolution rate above 90% across a 30-day window (Sep 20 to Oct 20, 2025), with both companies targeting 98%.
- Browser Agent removes the upfront API integration requirement, letting an agent operate a company's existing internal tools directly instead of waiting on months of backend work.
- Covers six channels (voice, chat, email, SMS, WhatsApp, iMessage) from one agent configuration, wider coverage than voice-only or chat-only rivals.
- Holds SOC 2 Type II, ISO 27001, and ISO 42001 certifications, which matters for the regulated verticals (banking, healthcare, insurance) it explicitly targets.
Cons
- Pricing is not published; third-party estimates put annual contracts in the six-figure range, likely out of reach for teams handling well under 10,000 monthly conversations.
- No G2 or Trustpilot reviews were found as of August 2026, so independent validation is limited to vendor-published case studies and third-party blog reviews.
- Founded in 2023, so it lacks the multi-year enterprise track record that procurement teams often require compared to more established incumbents like Zendesk.
- Full Agent Canvas builds still involve a sales cycle and setup period; independent reviewers cite roughly two weeks or more for a complete deployment.
Frequently Asked Questions
How much does Giga cost in 2026?
Giga does not publish pricing. Contracts are negotiated directly with sales after a demo, and third-party estimates place annual costs in the six-figure range, similar to enterprise peers like Decagon and Sierra. There is no self-serve checkout.
Is Giga free to use?
No. Giga has no free tier and no published trial pricing. Prospective customers go through a sales-led demo and pilot process before receiving a quote, which independent reviewers describe as taking two weeks or more to fully deploy.
What are the best alternatives to Giga?
Decagon and Sierra are the closest enterprise-scale peers if you need heavier build-your-own agent control. Ada is a cheaper standalone option for teams without Giga's voice-first, high-volume requirements. Zendesk suits teams that want AI bolted onto an existing full helpdesk suite instead of an AI-first replacement.
How does Giga compare to Decagon in 2026?
Both target enterprise support teams, but Decagon emphasizes giving CX teams direct workflow control after an initial engineering setup, while Giga leans on its Browser Agent to start resolving tickets without building API integrations first. Neither publishes pricing publicly, so cost comparisons rely on third-party estimates rather than list prices.
How do you get started with Giga?
You request a demo through giga.ai, where the Scout tool ingests your existing policies, knowledge base, and past support tickets to draft a first agent inside Agent Canvas. Engineering teams can then manage, test, and roll back that agent from the terminal using the giga-sdk CLI package.
Top Alternatives
- Decagon: Pick Decagon if you want more CX-team-driven workflow control after an engineering setup; pick Giga if you want its Browser Agent's no-integration launch path.
- Sierra: Pick Sierra if you need a founder-led, funding-heavy agent operating system across many channels; pick Giga if voice-first CX with DoorDash-scale case data matters more to you.
- Ada: Pick Ada if you want a lower entry price for a standalone support bot; pick Giga if you need enterprise voice AI and are prepared for a six-figure contract.
- Zendesk: Pick Zendesk if you want an established, full helpdesk suite with add-on AI; pick Giga if you want an AI-first agent to replace, not bolt onto, your ticketing workflow.