Comparing Lorikeet 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 | Lorikeet | Quiq |
|---|---|---|
| Pricing | Per resolution · $1,500/mo + $0.95/resolution | Per resolution · Custom (per-conversation) |
| Founded | 2023 | 2015 |
| Categories | AI Agents & Chatbots Enterprise | AI Agents & Chatbots Enterprise Voice & Phone AI |
| Integrations | Zendesk Intercom Salesforce Twilio Flex Front Stripe | Salesforce Zendesk Microsoft Dynamics 365 Kustomer Five9 Genesys Amazon Connect Shopify |
Lorikeet builds AI agents for companies where a wrong answer costs real money, or worse. Founded in Sydney in mid-2023 by Steve Hind, formerly of Stripe, and Jamie Hall, a former Google AI engineer, it deliberately courts the customers most vendors disclaim: fintechs, healthcare companies, and marketplaces whose support conversations involve moving money and medical questions. Its answer to that risk is workflow-first design. The agent follows your standard operating procedures step by step, takes real actions through integrations, and escalates precisely where the procedure says to, rather than improvising when a conversation gets unusual.
The platform pairs the customer-facing Concierge agent, which keeps a memory of each customer, with a Coach agent that scores tickets, and orchestrates multi-agent workflows across voice, chat, and email. Customers include Airwallex, Linktree, Eucalyptus, Magic Eden, and Flex, and the investor story is remarkable for a two-year-old company: a $35 million Series A led by QED in 2025 brought funding past $75 million, with backing from all three of Australia's biggest venture firms plus Canva's co-founders, reportedly the first startup since Canva to manage that.
Pricing is published, rare at this tier, and outcome-based with a twist: Start is $1,500 a month plus $0.95 per resolution, Scale is $4,000 plus $0.80, there are no implementation fees, and you can refuse to pay for resolutions you are unhappy with.
Choose Lorikeet when your support is high-stakes and process-bound: if your team works from runbooks and a compliance officer reviews the transcripts, an agent built to follow procedures exactly is worth paying for. Teams with simple FAQ queues will find cheaper fits elsewhere.
Read the full Lorikeet listing → · See Lorikeet 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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