For support leaders at fintech and healthtech firms, Lorikeet is an AI customer support agent purpose-built for complex cases, fully resolving them across every channel a team runs.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Lorikeet positions itself as a purpose-built AI concierge for support leaders at complex, regulated companies — fintech and healthtech firms that need cases fully resolved across phone, chat, email, SMS, and WhatsApp rather than simply deflected. The product is built around following defined procedures and escalating with full context when a case falls outside what it can close, a stance aimed at compliance and CX teams operating under scrutiny. Its customer base already includes consumer fintech and marketplace names such as Linktree, Magic Eden, and Flex. Public conversation about the company is still early, concentrated around its launch and category positioning rather than a wide practitioner discourse.
Agency
Attio
Fin (Intercom)
Granola
WarmlyLinktree, Magic Eden, Flex, Eucalyptus, Breeze, Arbor, Summ, Amber
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Business Profile
Lorikeet is an Australian AI customer-support company founded in 2023, positioned around resolving complex, compliance-heavy support cases rather than deflecting simple ones. It remains independent, with roughly $50M raised across seed and Series A rounds from investors including Square Peg Capital, QED Investors, Blackbird, and Skip Capital. The team has grown to about 92 people. Recent momentum has centered on landing customers in fintech and healthtech — sectors where case complexity and compliance requirements make simple chatbot deflection unworkable — including names like Linktree, Magic Eden, and Flex.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Lorikeet has shipped an MCP integration that lets its support agents connect to external tools such as Notion and Linear without custom integration work, pulling in context and executing approved actions through those platforms' own MCP servers. Its core support product already runs on an agent architecture that follows defined procedures across multiple channels and escalates to a human with context when needed. No public API or SDK surface is on file beyond this MCP connection.
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