Giga
Enterprise AI voice agents that autonomously improve your support metrics
Giga is the pick for enterprises that want AI agents to do more than answer—they want measurable metric improvement on high-volume, complex voice support. Its autonomous optimization and native 99-language support are standout features, validated by DoorDash's adoption. However, it's overkill for small businesses and requires commitment to setup and tuning. If you need a simple, text-only chatbot, consider alternatives like Intercom or Zendesk.
Verified 6d ago · liveness 58/100 · cite: rightaichoice.com/tools/giga
- Large enterprises with high-volume, complex customer support needing voice AI
- Companies in regulated industries like fintech, healthcare, and banking
- Global organizations requiring native multilingual voice agents
- Teams that want to autonomously improve support metrics like resolution rate
- Small businesses with low support volume due to enterprise-level focus
- Teams wanting a simple, out-of-the-box text chatbot
- Users seeking a text-only AI assistant—Giga is voice-first
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Giga if you are a small business with low support volume, or if you need a simple text-only chatbot without the complexity of voice-first, metrics-driven automation.
Pricing is not public and likely requires a custom quote, which may include setup fees or minimum contracts.
Giga's pricing is enterprise-grade, not publicly listed, and likely custom-quoted. It fits large organizations with high call volume and budget for support transformation, but for smaller teams, cheaper alternatives like Intercom or Zendesk offer transparent per-seat pricing. If you need voice AI with autonomous KPI improvement, Giga's ROI can justify the cost, but for basic text support, you'll find cheaper options.
In short
Giga — Enterprise AI voice agents that autonomously improve your support metrics. Best for Large enterprises with high-volume, complex customer support needing voice AI, Companies in regulated industries like fintech, healthcare, and banking, Global organizations requiring native multilingual voice agents. Contact Sales pricing.
What's new in Giga
Checked 6 days agoAcross the latest 3 updates: 3 feature updates.
Scheduled callbacks for Giga voice agents
Giga voice agents can now schedule callbacks at customer convenience, improving first-contact resolution and customer satisfaction.
Scout, now in Slack
Scout's natural-language insights are now available directly in Slack, providing contextual explanations for dashboard metrics.
Introducing the Giga CLI
A new CLI tool lets developers interact with Giga agents from the terminal, enabling scripted workflows and deeper customization.
What people actually say about Giga — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
63 mentions across 3 sources (Hacker News, App Store, Lemmy) · researched Jul 3, 2026.
- +SOC 2 Type II, ISO 42001, and ISO 27001 certified for security.
- +Supports 90+ languages and omnichannel (phone, chat, email).
- +No-code Agent Canvas for building custom agents quickly.
- +Auto-policy writing from transcripts via Copilot feature.
- +Smart Insights for root cause analysis and policy improvement.
- −No independent user feedback available in community sources.
- −Pricing is hidden behind 'contact' – no transparency.
- −Integration list is empty – unclear compatibility with existing tools.
- −Platform support (desktop, mobile) not specified.
- −Accuracy claims (90%) unverified by third-party reviews.
- • No pricing transparency – costs likely scale with conversation volume.
- • Enterprise contract may include minimum commitment or onboarding fees.
Viability Score
How well maintained and how widely used is Giga? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Autonomous voice agents that improve metrics
- Agent Canvas no-code agent builder
- Scout natural-language interface for segmentation
- Scout in Slack for metric explanations
- Real-time hallucination correction with no latency cost
- Native 99-language support with mid-call switching
- Giga CLI for terminal-based interaction
- Gigatoken high-speed tokenizer (~1000x faster)
- Omnichannel support (voice, chat, email)
- Automatic metric improvement with experiments
- Deep integrations with contact center platforms
- Real-time speech-to-text and transcription
- Customizable AI agent training on policies and tickets
- Performance monitoring dashboards
- Regulatory compliance (SOC 2, ISO 42001, ISO 27001)
About Giga
Giga is an enterprise-grade AI support platform that deploys autonomous voice agents to handle high-volume, complex customer conversations. Instead of just resolving tickets, Giga is engineered to continuously improve your key support metrics—resolution rate, CSAT, escalations—by running iterative experiments on live traffic. It's built for large organizations that need more than a basic chatbot; it handles the messy, multi-step interactions that define real-world support, from delivery issues to compliance decisions. At the core is the Agent Canvas, a no-code builder that lets you design custom agents that ingest your policies, knowledge, and past tickets to act like a veteran team member. You can set rules for when the agent answers, asks questions, or hands off to a human. Scout is a natural-language interface that helps you segment conversations, audit emotional arcs, and spot coaching moments—no complex filters needed. Scout is now also available in Slack, providing contextual explanations for dashboard metrics. Giga goes beyond conversation handling with autonomous improvement. The platform identifies gaps in your objectives, generates ranked opportunities, validates changes on a slice of traffic, and scales winners to 100% when the data is clear. It also offers real-time hallucination correction with zero latency penalty, native multilingual support across 99 languages, and a new CLI for terminal-based interaction. Trusted by DoorDash, Giga is SOC 2 Type II, ISO 42001, and ISO 27001 certified, making it suitable for regulated industries like fintech, healthcare, and banking. If you need a voice-first, customizable, and metrics-driven AI support agent for enterprise scale, Giga is built for you—not for teams looking for a simple out-of-the-box chatbot.
Behind the Verdict
Giga stands out in the crowded AI support space by focusing on measurable outcomes. Instead of just deploying a chatbot, Giga runs iterative experiments on live traffic to improve specific KPIs like resolution rate. This is a significant differentiator for enterprises that need to show ROI. The Agent Canvas no-code builder is genuinely flexible—you can ingest policies and past tickets to build a custom agent that matches your team's tone and rules. Scout is a powerful natural-language query layer that makes segmentation and auditing accessible without complex filters, and its Slack integration means your team gets insights where they already work. However, Giga's voice-first focus and enterprise positioning mean it's not for everyone. There's a learning curve to set up and fine-tune agents, and the pricing is opaque, likely requiring a sales conversation. For small teams with simple text-based support needs, lighter tools like Intercom or Zendesk are more practical. Giga shines when you have high call volume, complex multi-step interactions, and the data to train agents on. Its compliance certifications (SOC 2, ISO 42001, ISO 27001) make it a safe choice for regulated industries. The recent additions—Giga CLI and scheduled callbacks—show responsiveness to developer needs and customer convenience. Overall, if your support operation is large and voice-centric, Giga is worth a serious look; if not, it's probably overkill.
Researching Giga? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Giga actually fits — and what changes day-one when you adopt it.
After integrating Giga, you set a goal to improve Resolution Rate. The platform automatically runs experiments on live traffic, identifying top opportunities like reducing repeated agent requests. You monitor progress via the dashboard and see a 15.8% potential improvement.
Outcome: Within weeks, Resolution Rate trends toward your 70% goal, and you scale winning configurations to 100% traffic, reducing escalations and freeing human agents for complex cases.
You need to handle customer calls in 99 languages. Giga's native multilingual support lets each caller speak in their own language, and you use Scout to audit emotional arcs and segment conversations to find coaching moments.
Outcome: You maintain high CSAT across markets without hiring additional multilingual staff, and Scout's Slack integration gives you daily insights without leaving your workflow.
You use Giga CLI to interact with agents from the terminal, test edge cases in the sandbox, and review transcripts programmatically. You configure agent handoff rules and compliance policies.
Outcome: You ship a compliant voice agent that auto-escalates sensitive cases, maintaining audit trails and passing SOC 2 audits with confidence.
Use Cases
- Automate customer support for a food delivery platform handling millions of live orders per day.
- Deploy a voice agent for insurance claims processing that dynamically adapts to caller emotions.
- Create a multilingual support agent for a global e-commerce brand with 90+ language capabilities.
- Build a compliance-focused agent that auto-escalates sensitive cases while maintaining audit trails.
- Use Smart Insights to analyze support transcripts and recommend policy changes that improve CSAT scores.
- Simulate edge cases in a sandbox environment before launching a new support automation workflow.
Limitations
- Giga's pricing is not publicly disclosed and is likely enterprise-level, which can gate access for smaller businesses.
- The platform requires existing support transcripts and enterprise tools to leverage its full potential.
- Customization may involve a learning curve despite the no-code tools.
- Voice-first focus means it may not suit teams needing text-only support.
as of 2026-08-16
Verification history
We have re-verified Giga 4 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Giga's pricing actually pencils out — and where peers do it cheaper.
Giga's pricing is enterprise-grade, not publicly listed, and likely custom-quoted. It fits large organizations with high call volume and budget for support transformation, but for smaller teams, cheaper alternatives like Intercom or Zendesk offer transparent per-seat pricing. If you need voice AI with autonomous KPI improvement, Giga's ROI can justify the cost, but for basic text support, you'll find cheaper options.
Setup time & first value
How long it actually takes to get something useful out of Giga — broken out by persona, not the marketing-page minute.
For a standard voice agent, you can build your first one in under five minutes using the Agent Canvas and Scout. Full optimization with experiments may take a few weeks to gather enough traffic and validate changes. For enterprises with complex policies and integrations, expect a longer onboarding with dedicated support.
Switching to or from Giga
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From [Zendesk]: Import historical tickets and policies to train Giga agents, then gradually route calls to Giga while monitoring metrics.
- →From [Intercom]: Use Scout to analyze existing conversations for insights, then deploy Giga agents for voice support, keeping Intercom for text messaging.
- →From [in-house IVR]: Redesign your call flows in Agent Canvas, using existing prompts and logic as a starting point for the agent.
- ↗To [Zendesk]: Export transcripts and performance data for continuity, but you'll lose auto-improvement features.
- ↗To [Intercom]: If you need a lighter text-first solution, migrate chat transcripts and use Intercom's bot builder, but voice capabilities will be limited.
- ↗To [in-house solution]: Extract agent logic and FAQs, but you'll need to rebuild the experiment engine and multilingual support.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Giga
Common stack mates teams adopt alongside Giga, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Giga vs Presto Voice
Choose Presto Voice if you're a QSR chain focused on drive-thru automation and upselling; its proven integration with major brands and revenue lift make it the tailored choice. Opt for Giga if you need a scalable, multilingual, human-like voice agent for enterprise customer support with strong compliance and real-time correction capabilities.
Giga vs Truleo
These tools serve completely different markets. Truleo is purpose-built for law enforcement to connect siloed data and automate lead generation, while Giga is an enterprise AI voice agent platform for customer support. Choose Truleo if you're a police department needing jail call analysis and faster report writing; choose Giga if you run a large-scale support operation needing human-like voice agents with 90% deflection.
Giga vs B Rokratt
Choose Giga if you run a global enterprise needing high-deflection voice AI with multilingual, compliance-ready agents; the latest updates confirm real-time hallucination correction and dynamic language switching. Choose Bürokratt if you're an Estonian resident looking for free, secure access to e-government services — it's purpose-built and costless. There's no overlap: one is a paid enterprise platform, the other a free public service.
Alternatives to Giga
View allFrequently Asked Questions
Best-of guides
Used Giga? Help shape our editorial sentiment research.