AI Agents & Chatbots Enterprise
AI concierge for high-stakes support in fintech, healthcare, and marketplaces that follows your procedures exactly.
Fintech, healthcare and marketplace companies where a wrong answer costs real money and want an agent that follows their procedures step by step across chat, email, voice, SMS and WhatsApp, with published outcome-based pricing, a trial, a self-serve start and SOC 2, HIPAA, GDPR and ISO 27001 coverage.
You are a small team: the Start plan is $2,100 a month plus $0.99 per resolution, billed annually, which is a real floor. Residency is US unless you are on the Signature plan.
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.
Outcomes named customers have reported, as published by the vendor or the customer.
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Paid annually, $USchecked September 2026
Data residency USA USA Customchecked September 2026
Lorikeet works inside the tools your team already runs, like Zendesk, Intercom, Salesforce and HubSpot, and resolves issues by taking action through your own APIs.checked September 2026
When Lorikeet hands a ticket over to a human, the investigation’s already been donechecked September 2026
resolves issues by taking action through your own APIs.checked September 2026
Start free trialchecked September 2026
Start free trialchecked September 2026
Paid annually, $USchecked September 2026
Lorikeet raised US$35 million (A$54 million) in a Series A funding round led by QED Investorschecked September 2026
AI customer support startup Lorikeet has now raised $75 million in just 10 monthschecked September 2026
Lorikeet raised US$35 million (A$54 million) in a Series A funding round led by QED Investorschecked September 2026
start $2,100 /mo paid annuallychecked September 2026
SOC 2 Type II, ISO 27001:2022, HIPAA and GDPR, all independently verified and published on our public Trust Center at trust.lorikeetcx.ai, where reports can be downloaded under NDA.checked September 2026
Updated October 2026
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