Comparing Ada 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 | Ada | Quiq |
|---|---|---|
| Pricing | Paid · Custom | Per resolution · Custom (per-conversation) |
| Founded | 2016 | 2015 |
| Categories | AI Agents & Chatbots Enterprise | AI Agents & Chatbots Enterprise Voice & Phone AI |
| Integrations | Zendesk Salesforce ServiceNow Shopify Twilio WhatsApp | Salesforce Zendesk Microsoft Dynamics 365 Kustomer Five9 Genesys Amazon Connect Shopify |
Ada is an AI agent platform built for brands whose support queues are measured in the millions. The pitch is simple: onboard the agent on your knowledge and policies, then measure and coach it exactly the way you would manage a star human employee, using built-in testing and analytics to push its automated resolution rate higher every quarter. Ada handles chat, email, SMS, and voice in more than fifty languages, and its generative actions let it actually resolve issues in your back-end systems rather than just deflecting them with a canned reply.
There is a great origin story here. Before writing a line of code, Ada's founders spent roughly a year working as frontline support agents at seven different companies, because they wanted to feel the job before automating it. That empathy shows up in a product obsessed with resolution quality, not vanity deflection numbers. The company even shares its name with Ada Lovelace, widely considered the first computer programmer, which is a fitting match for software meant to think.
Founded in Toronto in 2016 by Mike Murchison and David Hariri, Ada has since powered billions of automated customer interactions for names like Meta, Verizon, Square, Shopify, Canva, and YETI. It is firmly an enterprise product: pricing is quote-based and annual, aimed at organizations fielding hundreds of thousands of conversations a year, so this is not a tool you swipe a credit card for on a Tuesday afternoon.
What you get for that commitment is a mature, measurable platform with a long track record and a coaching loop designed to keep getting better over time. If your support volume is huge, your brand stakes are high, and you want an AI agent you can manage like a real team rather than set and forget, Ada belongs firmly at the top of your shortlist.
Read the full Ada listing → · See Ada 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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