Comparing Decagon and Quiq? Both are AI Agents & Chatbots and Enterprise 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 | Decagon | Quiq |
|---|---|---|
| Pricing | Per resolution · Custom | Per resolution · Custom (per-conversation) |
| Founded | 2023 | 2015 |
| Categories | AI Agents & Chatbots Enterprise | AI Agents & Chatbots Enterprise Voice & Phone AI |
| Integrations | Zendesk Salesforce Intercom Shopify Stripe Kustomer | Salesforce Zendesk Microsoft Dynamics 365 Kustomer Five9 Genesys Amazon Connect Shopify |
Decagon builds what it calls an AI concierge: autonomous agents that resolve customer issues across chat, email, voice, and SMS, all sharing one brain and one memory of your customer. Instead of trapping your logic in brittle decision trees, Decagon uses Agent Operating Procedures, plain-language playbooks that describe how you want issues handled. Its voice agents answer with sub-second latency, handle interruptions gracefully, and can dial out as well as pick up, which makes them feel far closer to a competent human than to a phone tree.
The company's rise has been ridiculous in the best possible way. Founded in 2023 by Jesse Zhang and Ashwin Sreenivas, alumni of Google, Palantir, Citadel, and Scale AI, Decagon went from a standing start to a multi-billion-dollar valuation in roughly two and a half years, with its worth reportedly tripling in a single seven-month stretch as investors piled in. The name itself is a quiet math joke, nodding to the ten-sided polygon.
What keeps the logos coming is deployment quality. Decagon leans into white-glove onboarding, exposes full conversation logs so teams can audit and improve every answer, and routes genuinely hard cases to humans cleanly rather than bluffing. Its customer roster reads like a tour of the modern internet: Notion, Duolingo, Rippling, Eventbrite, Substack, Chime, and Affirm among them, plus larger enterprises adopting its outbound and proactive agents.
Pricing is sales-led and usage-based, offered per conversation or per resolution with volume discounts, so it is squarely an enterprise purchase rather than a quick self-serve signup you try on a whim. For teams that want an AI agent that feels concierge-grade, keeps a persistent memory of each customer, and can be tuned in the plain language a support manager actually speaks day to day, Decagon has become one of the most talked-about names in the category.
Read the full Decagon listing → · See Decagon 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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