ByHeather MacAvelia·Last verified Jun 24, 2026

Quiq

Name: Quiq
Author: Quiq

★3.6/ 5

by Quiq

Independently Reviewed

Visit quiq.com →

Enterprise agentic AI platform for customer experience with autonomous AI agents across voice, chat, SMS, and messaging. Accor Hotels, Panasonic, Terminix, Roku. Custom enterprise pricing.

From

Custom

custom ↗

GitHub

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Stars

4.7 / 5

45 reviews ↗

MCP

Compatible

Quiq is the enterprise agentic AI platform for customer experience, deploying autonomous AI agents that resolve customer queries across voice, chat, SMS, web messaging, and social channels. Founded in 2015, Quiq serves leading enterprises including Accor Hotels, Panasonic, and Terminix, with documented outcomes including 60% automated resolution rates, 67% lower cost per contact, and 4.9/4.7 customer satisfaction ratings across deployed customers. Pricing is enterprise-only with no public rates. Public benchmarks place Quiq deployments in the $100,000-$500,000+ per year range depending on company size, channels, and AI conversation volume. The platform positions as agentic AI infrastructure rather than a traditional contact center: Quiq AI Studio lets enterprises build custom AI agents with knowledge bases, integrations, and conversation flows tailored to their specific business, then deploy them across channels with consistent quality and enterprise guardrails. The Quiq platform has five AI product lines. AI Agents resolve customer questions across every channel autonomously. AI Assistants coach and assist human agents in real time. Voice AI Agents deliver natural voice conversations at scale. AI Workflows extend agentic AI to any business workflow. AI Analysts turn conversation data into instant insights. All five operate from a unified platform with end-to-end connectivity, meaning AI agents and human agents share context without integration overhead. Quiq's differentiation versus Sierra, Decagon, and Intercom Fin is the cross-channel consistency combined with enterprise control: the same AI agent handles voice, SMS, and chat with context preservation, addressing channel fragmentation that competitors starting in web chat handle less elegantly when extended to voice. The AI Studio agent-builder lets enterprises customize extensively with knowledge bases, guardrails, step-by-step visibility, and simulation testing before production deployment. Data governance is explicit: contractual agreements with all LLM providers prohibit use of customer data for model training. Quiq is not the right fit for SMBs or mid-market teams without the budget for enterprise AI procurement: Intercom Fin ($0.99/resolution on plans from $29/seat/month) and Tidio (from $29/month) provide accessible AI customer service at transparent pricing. Teams prioritizing published resolution rate benchmarks should note that Quiq does not publish a platform-average rate: documented outcomes are customer-specific case studies rather than platform benchmarks. Q2 2026 state: Quiq homepage rebranded as "Agentic AI Agents for the Enterprise" with five product lines: AI Agents, AI Assistants, Voice AI Agents, AI Workflows, and AI Analysts. Security page confirms no model training via contractual LLM agreements, SOC 2 Type II, HIPAA, GDPR, and CCPA compliance. PCI DSS not listed on security page as of May 2026.

Pricing

custom

View pricing ↗

Segment

enterprise

Setup

moderate

Verified

Jun 24, 2026

Transparency

Quote Only

Contract

Annual Only

Data training

Not Trained

Autonomy

Human Optional

Capabilities

ticket-resolutionmultilingualconversation-intelligenceecommerce-support

Pros & Limitations

Editorial assessment

Pros

✓Cross-channel agentic AI consistency with documented outcomes: same AI agent handles voice, chat, SMS, and messaging with context preservation, with 60% automated resolution and 67% lower cost per contact confirmed across enterprise customer deployments.
✓Explicit no-training data policy via contractual LLM agreements: Quiq contractually prohibits all LLM providers from using customer conversation data for model training, providing stronger data governance assurance than competitors with opt-out or not-disclosed policies.
✓Quiq AI Studio enables deep enterprise customization with guardrails: enterprises build agents with specialized knowledge bases, simulation testing, step-by-step visibility, and performance scoring before production deployment, supporting complex vertical use cases that pre-trained AI tools handle less well.

Limitations

⚠Custom enterprise pricing with no published rates requires a full sales process before any budget estimate is possible: makes cost comparison against Intercom Fin ($0.99/resolution) or Decagon (custom enterprise) difficult upfront for procurement teams under time pressure.
⚠Implementation complexity from deep customization: AI Studio's power comes from extensive configuration, meaning deployments require meaningful investment compared to pre-trained AI agents that deploy faster with less setup, particularly for teams without dedicated AI implementation resources.
⚠Smaller G2 review footprint at 45 reviews despite strong enterprise customer outcomes: lower peer review volume can be a procurement concern for risk-averse buyers requiring extensive third-party validation before committing to a custom enterprise contract.

Technical Details

Deployment

cloud

Avg setup time6-12 weeks (sales-led discovery, Quiq Studio agent customization, integration with CRM and commerce platforms, channel rollout)

Autonomous rateQuiq AI Agents autonomously resolve customer queries across voice, chat, SMS, and messaging. Documented customer outcomes include 60% automated resolution rates. Quiq does not publish a platform-average autonomous resolution benchmark.

Integrations

SalesforceZendeskOracleApple Messages

Security

SOC 2 Type IIGDPRHIPAACCPA