Sold by: Giga
Giga deploys enterprise AI agents that talk like a human and handle millions of customer conversations across voice and chat. Trusted by companies like DoorDash, Postman, Toast, Capital.com, Rio, Afriex, Remedy Meds, and Flex, Giga resolves complex support issues, not just FAQs, with over 90% resolution accuracy in production, 90+ supported languages, and agents live in as little as two weeks. Build, govern, and continuously improve agents with Agent Canvas, Voice Experience, and Smart Insights.
4.5
Overview
Giga builds enterprise AI agents that talk like a human and handle millions of customer conversations across voice and chat. Trusted by companies like DoorDash, Postman, Toast, and Capital.com, Giga deploys production-grade support agents that resolve complex issues rather than just answer FAQs, and can go live in as little as two weeks.
Built to handle complexity: 90% deflection on real support volume 90+ supported languages Over 90% resolution accuracy in production
Key capabilities Agent Canvas. Build, configure, and govern your AI agents end to end. Ground agents in your brand standards, compliance rules, and workflows, define guardrails in plain language, map conversation and escalation logic, simulate edge cases, and deploy once quality and compliance checks pass.
Voice Experience. Emotionally aware voice agents that understand tone, intent, and context, with ultra-low latency and the ability to handle accents, interruptions, and rapid back-and-forth so every conversation feels natural.
Smart Insights. Turn conversations into action. Giga surfaces patterns, uncovers root causes, and recommends ready-to-implement policy improvements tied to the metrics you care about, like resolution rate, escalation rate, and customer satisfaction.
Omni-channel. Meet customers across the channels they already use with consistent, on-policy support.
Browser Agent. Extend automation into the systems and tools your agents need to complete real tasks.
Hallucination Correction. Built-in safeguards that keep agent responses accurate and grounded.
Highlights
- Human-like AI agents that resolve, not deflect. Giga handles complex voice and chat support across 90+ languages with over 90% resolution accuracy in production.
- Build and govern agents with Agent Canvas. Ground agents in your policies and brand, set guardrails in plain language, simulate edge cases, then launch and continuously improve from real conversations.
- Enterprise-ready and fast to deploy. Agents go live in as little as two weeks, backed by SOC 2 Type II, ISO 27001, and ISO 42001 compliance with independently audited security and AI governance controls.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
Call | Charged per call processed by the Giga AI agent | $1.00 |
Dimensions summary
Giga uses a single usage-based pricing dimension. You pay per call processed by the Giga AI support agent. There are no tiers, seats, or fixed subscription levels. Your cost scales directly with volume: the more calls the agent handles, the more you pay. This ties spending to actual usage, so charges rise and fall with how many calls the agent processes over the billing period.
Top-of-mind questions for buyers
A call is one interaction processed by the Giga AI agent. This covers conversations the agent handles across channels like voice, chat, and email. Each processed interaction meters as a single unit. Your charges reflect the number of calls the agent works through.
Charges accrue only for calls the agent actually processes. When volume rises, your total goes up in step. When volume falls, your total drops. There are no fixed tiers or committed minimums that change the per-call basis. Cost tracks directly with processed calls each billing period.
This is a usage-based model with no upfront commitment. You pay per call the agent processes, so there is no fixed subscription or seat count. Charges appear based on actual call activity during the billing period. This suits workloads where call volume varies over time.
giga.ai
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All fees are non-cancellable and non-refundable except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Giga provides customer support via email and Slack, including onboarding assistance, product guidance, and issue resolution. Our team also works hands-on with you to build out and configure your AI agents, so you reach production quickly and with the right setup from day one. If you have any questions or concerns, contact us: support@giga.ai
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Information Technology and Services
Seamless Context Continuity and Fast Voice That Drives Requests to Completion
Reviewed on Sep 29, 2026
Review provided by G2
What do you like best about the product?
I work in customer support operations, where customers often start in chat or email and then later call in. What I appreciate most is the continuity: the context from an earlier interaction carries forward, so the AI agent—or the human who takes over—doesn’t have to start from scratch. The voice experience feels fast enough for a real conversation, and the system is designed to actually complete the request (status checks, simple account changes, and clear next steps), rather than just sending a polite holding message.
What do you dislike about the product?
Odd or policy-heavy situations still need clear, tight rules and a clean handoff. When escalation criteria are vague, people get bounced around or the agent stops short of what’s needed. It’s worth investing in those definitions early, instead of discovering the gaps once you’re already in production.
What problems is the product solving and how is that benefiting you?
Volume was high, and a lot of it fell into the same categories of issues—status checks, simple changes, and straightforward account actions—yet it all landed in the same queue as true exceptions. Customers often ended up waiting, only to have to repeat themselves when the channel changed.
By automating more of the easily resolvable path, we’ve reduced that repeat-and-wait pattern and left the team with a cleaner set of cases that actually require judgment. We care more about closing the loop than about whether “a bot answered something.”
By automating more of the easily resolvable path, we’ve reduced that repeat-and-wait pattern and left the team with a cleaner set of cases that actually require judgment. We care more about closing the loop than about whether “a bot answered something.”
David g.
Giga Streamlines Order Tracking and Shipping Updates with Responsive Voice Support
Reviewed on Sep 29, 2026
Review provided by G2
What do you like best about the product?
At NPC Global we deal with a steady stream of retailer questions around order tracking, delivery windows for shipping supplies, and material availability across our network of facilities. What stands out with Giga is how cleanly the agents connect those conversations to the systems we already use and then complete the next action confirming a shipment, noting a delay, or arranging a replacement without forcing the customer to wait or repeat details. The voice channel in particular feels responsive and natural for our team’s volume.
What do you dislike about the product?
The initial configuration of certain edge-case policies (for example, multi-facility inventory checks or specific carrier exception rules) required more iterative testing than we expected. Once those were locked in the agents performed well, but the early setup phase could be smoother for teams with highly customized logistics workflows.
What problems is the product solving and how is that benefiting you?
Before this, peak periods (especially around major retail shipping seasons) created long queues and inconsistent hand-offs for routine status and exception cases. Giga absorbs a large share of those inquiries end-to-end, which has shortened resolution time and freed our account and support staff to focus on custom packaging design work, larger account coordination, and more complex supply-chain issues. The measurable lift in containment and the reduction in escalations have been the clearest operational benefits.
Capital Markets
Live Operational Visibility and Self-Improving Voice Agents That Hit KPIs
Reviewed on Sep 15, 2026
Review provided by G2
What do you like best about the product?
The live operational visibility and the continuous improvement loop. On any given day we can see 24 of our 27 agents active, resolving over 12,800 conversations in a 24-hour window at 94.3 % fully automated, with average CSAT at 4.8 and handle time down to 42 seconds. The voice agents in particular (Billing and Tech Support) consistently hit 96 %+ resolution with near-human quality. Being able to set a KPI and watch the system iterate toward it without constant manual tuning is the biggest differentiator.
What do you dislike about the product?
Initial mapping of some of our more specialized capital-markets workflows and audit/compliance requirements took extra configuration effort. Once live the platform has been stable and the agents continue to improve, but the early setup phase for regulated-data access and custom reporting fields required more back-and-forth than a simpler use case would. Advanced attribution of conversations by specific product line could also be richer out of the box.
What problems is the product solving and how is that benefiting you?
At DelphX we deal with a steady flow of client and counterparty inquiries around structured credit products, private placements, documentation status, and operational questions. Before Giga, these pulled senior time away from live structuring and deal work. Now the majority of routine and moderately complex conversations are handled end-to-end by the AI agents across voice and chat, with full continuity and system actions where permitted. The result is dramatically higher throughput, lower cost per resolution, and our small operations team can focus on exceptions and higher-value work while still delivering a professional, consistent experience to institutional clients.
Information Technology and Services
Scout Iterates to Hit Our KPIs with Smooth, Low-Latency Voice Conversations
Reviewed on Sep 11, 2026
Review provided by G2
What do you like best about the product?
The agents improve against the exact KPIs we set instead of staying locked at their initial performance. Once we defined resolution rate as the primary goal, Scout began iterating and the numbers moved in a measurable way without constant prompt rewriting. The voice latency is consistently low and the agents handle interruptions naturally, which makes longer, multi-party conversations feel smoother than other tools we tested.
What do you dislike about the product?
Very edge-case or highly customized policy scenarios still require extra testing and tighter guardrails before full autonomy. We spent additional time in the early weeks validating those specific workflows. The platform itself is capable, but the initial configuration effort for those outlier cases is higher than for standard FAQs.
What problems is the product solving and how is that benefiting you?
We were dealing with high volumes of repetitive yet policy-sensitive support interactions that still required human agents for consistency. Giga now resolves a large share of those cases end-to-end, including real actions inside our existing systems. This has reduced queue times during peak periods, lowered the escalation rate, and freed senior agents to focus on the genuinely complex cases that still need human judgment.
Adarsh B.
Giga’s KPI-Driven AI Agents That Improve and Act Across Business Systems
Reviewed on Sep 04, 2026
Review provided by G2
What do you like best about the product?
What I like most about Giga is that it goes beyond basic conversational AI. The platform enables AI agents to understand complex workflows, take action across business systems, and continue improving based on measurable business outcomes. I particularly appreciate the focus on autonomous improvement and KPI-driven performance, rather than simply automating conversations.
What do you dislike about the product?
What I dislike is that Giga seems geared more toward enterprise customer operations, which could limit its flexibility for broader use cases. Since it’s a relatively newer platform, organizations may also run into a learning curve and may need clearer information around integrations and pricing.
What problems is the product solving and how is that benefiting you?
Giga is solving the problem of repetitive, time-consuming business workflows by using AI agents that can understand requests, take actions, and improve over time. This benefits me by reducing manual effort, improving response times, and allowing teams to focus on higher-value work.