Problem

Complex and regulated companies often face customer-support problems that are too consequential for FAQ bots but too numerous and expensive for human teams to handle quickly. Fintechs and healthtechs must resolve multi-step issues across fragmented systems, while coping with unpredictable volume spikes, long response times, compliance requirements, and the cost of scaling headcount. Lorikeet targets this gap: its customers use it to handle complex support interactions end to end rather than simply deflecting customers to a help article or human queue.

The clearest use case is high-stakes financial servicing, such as a lost, stolen, or missing debit card. Lorikeet can determine eligibility, update a customer’s address, and dispatch a replacement card without human intervention. The economic payoff is faster resolution and greater support capacity without proportionally expanding the service team; customer examples report cutting response times from roughly 30 minutes to under one minute and from 20 hours to 90 seconds.

Product / Service

Lorikeet is an omnichannel AI customer concierge for complex companies. It operates across phone, SMS, chat, email, and WhatsApp, follows a company’s standard operating procedures, connects to its existing systems, and executes workflows such as rescheduling appointments, changing medication-delivery dates, processing payments, or updating insurance policies. When it cannot safely complete a case, it escalates to a human with the investigation and relevant context already assembled, allowing the agent to act quickly.

The platform is differentiated by action-taking capability and operational controls rather than conversational fluency alone. Granular permissions and dynamic gating restrict risky actions and make execution auditable, while Lorikeet supports integrations with systems such as Zendesk, Intercom, HubSpot, Front, and Salesforce. Its commercial model is outcome-aligned: customers pay only for successfully resolved tickets, with published Start and Scale plans priced at $1,500 and $4,000 per month and enterprise pricing available for larger or more complex deployments.

Market

Lorikeet competes in AI customer-support and customer-experience software, positioning itself as an AI customer concierge for high-volume, complex, and regulated workflows. Its named competitive set includes Sierra, Intercom’s Fin AI, and Decagon, while the broader market includes established customer-service platforms such as Zendesk and Intercom. Lorikeet’s stated differentiation is configurability, compliance, omnichannel execution, and the ability to take consequential actions instead of handling only low-complexity questions.

Lorikeet is commercial and has demonstrated meaningful early traction rather than being pre-revenue. In August 2025, it announced a $35 million Series A, more than $50 million in total funding, 10x revenue growth since its public launch in October, and customers including Airwallex, Linktree, Flex, and Eucalyptus. Its later customer stories report outcomes such as 30% to 60% end-to-end resolution for Carmoola, 97% faster response handling for Summ, and patient responses within 90 seconds for Eucalyptus, indicating adoption across fintech, healthtech, and other high-volume support environments.