Comparing PolyAI and Quiq? Both are Enterprise and Voice & Phone AI tools in the directory, which is why buyers put them on the same shortlist. Below is a side-by-side look at how they price, what they integrate with, and when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.
| Attribute | PolyAI | Quiq |
|---|---|---|
| Pricing | Per resolution · Custom (per-minute) | Per resolution · Custom (per-conversation) |
| Founded | 2017 | 2015 |
| Categories | Contact Center & CCaaS Enterprise Voice & Phone AI | AI Agents & Chatbots Enterprise Voice & Phone AI |
| Integrations | Salesforce HubSpot Zendesk Microsoft Dynamics OpenTable Zapier | Salesforce Zendesk Microsoft Dynamics 365 Kustomer Five9 Genesys Amazon Connect Shopify |
PolyAI answers the phone. While most of this directory started with chat and added voice later, PolyAI has been voice-first since three Cambridge machine-learning PhDs, Nikola Mrkšić, Pei-Hao Su, and Tsung-Hsien Wen, founded it in London in 2017 out of the university's Machine Intelligence Lab. Its agents are known for sounding genuinely human and for surviving the things that break lesser systems: interruptions, accents, background noise, and callers who change their mind mid-sentence. Restaurants, hotels, banks, and utilities use it to answer every call instantly, day and night, with customers like PG&E, UniCredit, Golden Nugget, and Fogo de Chao on the roster.
The platform matured into what the company calls an agentic dialog platform: Agent Studio for building and managing agents without code, a developer kit for deeper work, and Raven, a proprietary conversation model trained on more than a billion enterprise conversations. Compliance boxes (SOC 2, HIPAA, PCI) are ticked, which matters because taking payments and health information over the phone is exactly where voice AI earns its keep.
Investors have noticed the wedge. In December 2025 PolyAI raised an $86 million Series D at a valuation around $750 million, with NVIDIA's venture arm participating, bringing total funding past $200 million. Commercially it bills on usage, priced per minute of conversation, with rates scoped to your call volume rather than published on the site.
Choose PolyAI when the phone is your problem. If most of your support pain is hold music, missed calls, and staffing the night shift, a voice-native specialist will beat a chat-first platform's bolted-on telephony, and PolyAI is one of the most proven voice specialists in the market.
Read the full PolyAI listing → · See PolyAI alternatives →
Quiq is an agentic AI platform for enterprise customer experience. Its AI Agents resolve customer questions end to end across messaging channels, its Voice AI handles natural phone conversations, and its AI Assistants coach human agents in real time when a conversation needs a person. Everything runs through a digital contact center workspace, with an AI Studio for building, testing, and monitoring agents. In July 2026 Quiq added Verified Intelligence, a governance layer of guardrails, simulations, and step by step visibility into agent decisions.
CEO Mike Myer founded Quiq in Bozeman, Montana in 2015, which makes it one of the longer running players in AI for CX. The company raised a $25 million Series C led by Baird Capital in 2022, and in May 2026 it rebranded around the shift from isolated AI pilots to production scale deployments, launching Voice AI at the same time. Customers include Roku, IHG Hotels and Resorts, Brex, Panasonic, Lululemon, Terminix, and Brinks Home.
Quiq publishes no prices anywhere on its site. The model is usage based: you pay for the conversations you actually use rather than for seats or feature tiers, so costs scale with volume and can be forecast from it, but every deal starts with a sales conversation and a custom quote. There is no free tier and no self serve signup, and professional managed services, where Quiq's own team builds and tunes your agents, cost extra.
Choose Quiq if you are a consumer brand with real conversation volume that wants one vendor covering autonomous AI agents, voice, and human agent assist, with governance tooling strong enough to satisfy a cautious legal team. It is squarely an enterprise sale with enterprise onboarding, so a small support team that wants self serve signup, a published price list, or a quick weekend deployment should look at lighter helpdesk native AI products instead.
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