LorikeetA representative verified their company email and completed GTM Report’s profile fact-check. Not a ranking, endorsement, or paid placement.
For customer support leaders at fintech, healthtech, and insurance companies, Lorikeet is an AI customer concierge that follows company playbooks and takes actions inside existing systems to resolve complex cases across phone, messaging, email, and chat.
Presence & Market Position
#76 of 80
AI-Native GTM Challengers
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Lorikeet is positioning itself as a customer concierge for businesses where support requires verified actions and careful handling of regulated cases. Its product story connects customer service with revenue, spanning human customers and personal agents acting on their behalf. Its quieter footprint so far centers on founder discussions about early customer needs and building from Australia, alongside interest in voice experiences for regulated support. Recent company releases broaden that story through B2A access for visiting agents and workforce management for human support teams, while customer examples emphasize complex workflows across existing systems.
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Business Profile
Lorikeet was founded in 2023 and has raised more than $50M as of August 2025 across a seed round, a follow-on, and a Series A led by QED Investors, with backing from Square Peg, Blackbird, Airtree, and Skip Capital. The company has expanded from its original Australian base with a London office opened in early 2026 for EMEA coverage, and grew from an initial chat-first agent to voice-capable support with a late-2025 Voice 2.0 release. Lorikeet emphasizes serving fintech and healthtech customers with complex, regulated support cases that it says mainstream legacy platforms are not built to handle.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Lorikeet has built out a public API, an SDK and its own MCP server, giving customers read and write access to workflows, the knowledge base, tickets, tools, simulations and guardrails from Claude Code, ChatGPT or Codex, with an audit trail and role-based access control. It has repositioned its core product as self-configuring and agent-first around that MCP layer, and is now extending agent support outward to serve visiting personal AI agents directly.
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