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Giga vs. Ada

Giga outperforms Ada on resolution, voice, and control.

Ada answers and routes. Giga resolves the whole request, real actions in your live systems, on voice and chat, from one policy graph.

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DoorDashCapital.comToastFlexRemedy MedsPostman
The honest comparison

When the workflow needs real action, Ada routes it away.

Resolution model
Giga · Resolves end to end; reads & writes your live systems, browser agents where no API exists
Ada · Reasoning + Playbooks answer and route; actions depend on your connectors
Voice
Giga · ~400ms, accent/noise-robust, 90+ languages, mid-call language switch
Ada · Voice is newer and runs on third-party telephony
Time to production
Giga · First agent in ~10 min; production in under 2 weeks
Ada · No-code, but playbook + knowledge tuning is a full configuration cycle
Control & ownership
Giga · Full agent canvas; eng & product edit every policy/action and ship same-day
Ada · CX-team no-code console; limited deep control of agent logic
Hallucination safety
Giga · Dedicated correction agent runs mid-response; 4x lower than frontier models
Ada · Model orchestration + guardrails; no real-time correction
Optimizes toward
Giga · Any KPI you set: resolution, revenue, CSAT, TTV, or even custom metrics
Ada · Tone/response tuning; deflection-oriented metrics
Pricing
Giga · Outcome-based, scoped to the number you want to move
Ada · Priced per resolution

From enterprise evaluations and teams who ran both. Bring your scenario, we’ll show you live.

Industry leading metrics

Real numbers, in production.

  • RESOLUTION

    Over 90% resolved

    Resolved in your systems, not deflected to an article. 10–25% Containment lift in the first 120 days

    EACH DOT = 1% OF CONVERSATIONS
    90% Resolved10% To Human Agent
  • RESPONSE TIME

    Answers in under a second

    400ms voice response, noise- and accent-robust, in 90+ languages.

    TIME TO FIRST RESPONSE
    5.0sBefore
    instantHOLD TIME ELIMINATED
    0.4sAfter
  • ACCURACY

    4x lower hallucination rate

    A dedicated correction agent pulls drift back mid-response, no other platform ships it.

    HALLUCINATION RATE VS. FRONTIER MODELS
    4xBefore
    −75%DRIFT CORRECTED
    1xAfter
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Customers

Teams run the eval. They pick Giga.

Their hardest cases, multi-party and real-time, with payments and refunds in scope.

DoorDashMarketplace
“Partnerships like this are critical to delivering better outcomes for consumers on a global scale.”
Andy Fang, Co-Founder at DoorDash
Andy FangCo-Founder, DoorDash
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A DoorDash order handed off at a customer’s door
  • FlexFlexConsumer finance

    Chose Giga head to head on voice, then expanded into chat, +20 points of resolution in two weeks.

  • ToastRestaurant & retail

    Voice agents that resolve complex issues in real time, with clean handoff to your team when needed.

  • Remedy MedsTelehealth

    Confirms, books, and rebooks appointments, and reaches out to keep patients on their care.

FAQs

Frequently asked questions

Still have questions? Talk to our team

Run it head to head. Ada’s voice runs on third-party telephony and is newer; Giga’s voice is ~400ms, accent-robust, in 90+ languages, and resolves in your systems rather than routing the caller onward. Bring your hardest call and we’ll show you live.

Your team still owns Giga, on a full canvas where they edit every policy and action and ship the same day, with an FDE partner when they want one. You get self-serve ownership without the customization ceiling.

Yes. Giga reads and writes your live systems in real time, including browser agents where no API exists. It resolves the request instead of answering and handing it back.

BOOK A DEMO

Bring your hardest workflow. We’ll resolve it live.

Name the KPI you want to move, and we’ll show you Giga resolve it in your real systems, on voice and chat, from one policy graph.

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Comparisons based on independent testing conducted by Giga customers.

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