Lorikeet
Lorikeet leverages best-in-class AI and a powerful workflow engine to deliver high quality and scalable support automation at a fraction of the cost of manual solutions. We can solve tickets that involve looking up data, taking actions in your systems, and making complex decisions. We work with high growth, innovative companies in fields like FinTech and HealthTech who care about the quality of their customer experience.
- Location
- Sydney, Australia, Australia
- Founded
- 2020
- Category
- AI
- Funding
- VC-backed
- Team
- 11β50
Frequently asked questions
What does Lorikeet do?
Lorikeet leverages best-in-class AI and a powerful workflow engine to deliver high quality and scalable support automation at a fraction of the cost of manual solutions. We can solve tickets that involve looking up data, taking actions in your systems, and making complex decisions. We work with high growth, innovative companies in fields like FinTech and HealthTech who care about the quality of their customer experience.
Where is Lorikeet based?
Lorikeet is based in Sydney, Australia, Australia.
When was Lorikeet founded?
Lorikeet was founded in 2020.
How much has Lorikeet raised?
Lorikeet is vc-backed. Funding details have not been disclosed.
How Lorikeet would pitch themselves
β Auto-generated01Target customer
Companies + developers adopting AI in their stack β from indie builders to enterprise ML teams working on ai-powered customer support platform.
02Problem they solve
Lorikeet leverages best-in-class AI and a powerful workflow engine to deliver high quality and scalable support automation at a fraction of the cost of manual solutions. We can solve tickets that involve looking up data⦠The category has historically been served by tools that miss the modern workflow this product is built around.
03Key differentiator
Lorikeet differentiates on ai-powered customer support platform β focusing on a specific edge in this category vs. broader incumbents.
04Go-to-market strategy
Series-A scaling stage β building outbound sales motion, hiring first AEs, layering on customer success. Mix of PLG (where the product allows) + direct sales for higher-ACV deals.