Agentic Index
Giga vs Quiq (2026)
Both resolve customer conversations autonomously at enterprise scale and they differ on where the models run, at 11.5 and 11.5 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Quiq covers voice, chat, SMS, WhatsApp and email with governed decisioning and AI Assistants supporting human agents. Giga resolves voice and chat support autonomously in more than ninety languages, deployable on the customer's own cloud with open source models. Ninety plus languages and customer cloud deployment with open models is an unusual combination, and for a global regulated buyer it may be the only viable option here.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Giga and Quiq are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Giga if
- Ninety plus languages is the coverage your global support actually requires.
- Deploying on your own cloud with open source models is a sovereignty requirement.
- You want no dependency on a vendor's model choices or pricing changes.
Choose Quiq if
- Documented coverage is slightly broader and channel breadth including SMS and WhatsApp matters.
- Governed decisioning is the control model you need across channels.
- AI Assistants supporting your human agents is as valuable as autonomous resolution.
| At a glance | Giga | Quiq |
|---|---|---|
| Category | Voice agent | Customer support agent |
| Entry price | Not public; quoted through enterprise sales, scoped to interaction volume and deployment model | No public pricing; subscriptions are quoted through sales |
| Free / trial | Pilot and demo on request; no public free tier | No free tier or self serve trial is documented; the motion runs through demos |
| Pricing confidence | contact only | contact only |
| Feature | G Giga |
Q Quiq |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Full / Explicit |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Full / Explicit | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Partial | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | G Giga |
Q Quiq |
|---|---|---|
|
Entry price Lowest public entry point |
Not public; quoted through enterprise sales, scoped to interaction volume and deployment model | No public pricing; subscriptions are quoted through sales |
|
Pricing confidence How public the numbers are |
Contact only | Contact only |
|
Billing Primary billing axis |
interaction or resolution volume and deployment model | described by a third party marketplace profile as subscriptions based on users, messaging channels, and the level of AI and automation features; not confirmed on company pages |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
No free tierTrial
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Sales call | Sales call |
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