AI Agents & Chatbots Enterprise
AI concierge for high-stakes support in fintech, healthcare, and marketplaces that follows your procedures exactly.
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.
See the best Lorikeet alternatives →
Updated August 2026
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