Lorikeet builds an AI-powered customer support platform designed for businesses operating in complex and regulated environments. Its core product is a suite of AI agents that work across voice, chat, and email channels, handling customer issues end-to-end rather than routing users to self-service options. The platform is built around a flexible architecture that allows agents to look up data, take actions in backend systems, and make decisions on high-stakes cases - the kind of problems that simpler automation tools typically deflect rather than resolve.
The company focuses on industries where compliance and precision matter: financial services, healthcare, and energy are among its primary target sectors, alongside fintechs, healthtechs, crypto marketplaces, delivery services, and other businesses with demanding support requirements. Its customers operate globally, and the platform is designed to scale support capacity without sacrificing response quality.
Technically, Lorikeet's work spans AI agent design, conversational interfaces, systems integration, and decision automation for regulated use cases. Engineers and product teams at Lorikeet work on problems at the intersection of AI reliability, compliance-aware automation, and real-world operational complexity - building agents that are expected to act, not just respond.