by Giga AI Inc.
AI support agent platform that resolved 90%+ of DoorDash's support tickets across voice, chat, and email in 99 languages.
Giga suits enterprise support teams (fintech, retail, logistics, healthcare) replacing Zendesk-style ticketing with an autonomous agent, not small teams on a budget. Its CLI-based workflow lets engineers manage agents like production code, and its Browser Agent can operate internal tools without API integration work, cutting deployment from months to days.
Browser Agent lets support workflows go live against a company's existing internal tools without waiting for API integration work, compressing deployment from months to days.
Real enterprise traction (DoorDash, Toast, Capital.com) and a $61M Series A give it credibility, but the underlying model is undisclosed and Browser Agent style no-integration automation is becoming a common pitch across the category, so the technical moat is moderate rather than durable.
Main trade-off
No public pricing and no third-party review presence (G2, Trustpilot) as of August 2026 make it hard for a buyer to evaluate cost or reputation without entering a sales process.
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.
DoorDash reports a resolution rate above 90% on Giga agents across a 30-day window ending October 20, 2025. Giga raised a $61M Series A in November 2025. One agent configuration serves six channels in 99 languages, and Scout drafts the first agent before teams refine it in Agent Canvas.
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 reads a company's rules, help center content and historical tickets, then drafts a working agent for the team to refine.
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.
Most users expect these and they are not currently supported.
| Tool | Price from | Free plan | Runs on | Rating |
|---|---|---|---|---|
| Quote | No | Web | 3.4 | |
| $95,000/mo | No | Web | 3.8 | |
| -- | Trial | Web | 3.3 | |
| $2,500/mo | No | Web · iOS · Android | 4.5 |
Proprietary
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.
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.
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.
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.
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.
Giga builds autonomous customer support agents for enterprises with high call and ticket volumes. The San Francisco company was founded in 2023 by Varun Vummadi and Esha Dinne, went through Y Combinator's Summer 2023 batch, and raised a $61 million Series A in November 2025 led by Redpoint Ventures after a $3.6 million seed round, roughly $65 million in total. DoorDash is the flagship reference: the DoorDash story on giga.ai reports a resolution rate over 90 percent across a 30 day window from September 20 to October 20, 2025, on hundreds of thousands of daily support requests.
Setup starts with Scout, which the vendor describes as the agent-building agent. It reads a company's rules and support history to draft a first agent, and teams refine it in Agent Canvas, which the homepage says can produce a first multimodal agent in under five minutes. Browser Agent drives a company's own browser-based admin tools by clicking and typing like a person, so a workflow can go live without an API project. A terminal CLI, shipped as the giga-sdk package on PyPI, lets engineers test, ship and roll back agents like production software. The homepage currently promotes Event Telemetry, which shows where a customer request went wrong.
Giga targets enterprise support and operations teams in fintech, banking, technology, retail, telecom, healthcare, freight and logistics, and hospitality. One agent configuration covers voice, chat, email, SMS, WhatsApp and iMessage. Named customers include DoorDash, Postman, Capital.com and Toast. Teams that want a chat-first product with self-serve signup will find a better fit in Chatbase or eesel, and teams that mainly need a voice layer can compare Retell AI, Vapi and Echowin. The wider field is covered in Hokai's best AI customer support tools guide, and Smart Match can narrow the list to your volume and channels.
No price list exists on the vendor site. Quotes come from sales, and third party estimates place annual deals in the six figure range, closer to Decagon and Sierra than to lower cost options such as Ada, Intercom or Solvea. It is web based, and the trust center shows four attestations: SOC 2 Type II, ISO 27001 (information security), ISO 42001 (AI management) and PCI DSS 4.0.1. HIPAA and GDPR coverage is also referenced.
For buyers weighing it against an incumbent helpdesk, Zendesk adds AI onto an existing ticketing suite, while Giga is built as an AI-first replacement. Other support agents worth shortlisting alongside it include Parahelp, Pylon, Sendbird, Duckie and Kapa.ai for technical documentation questions. Giga's own pages also compare it against Cresta, Forethought and Salesforce Agentforce.
Product facts on this page (pricing, plans, integrations, compliance) are read from Giga AI Inc.'s own pages and documentation. The verdict is Hokai's reading of them, not the vendor's claim.