Voice that coordinates like your best agent

Voice that coordinates and resolves like your best agent.

Voice that coordinates like your best agent.

Navigate complex support scenarios with precise and empathetic AI that accesses live data, coordinates with third-parties, and solves high-stakes issues.

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Proudly supporting

Voice support. Dialled in.

Build voice experiences with precision control over the five attributes that support exceptional support conversations.

Build voice experiences with precision control over the five attributes that support exceptional support conversations.

Try it for yourself.

Experience voice in action. Call and chat with a live Lorikeet agent. Or listen to calls to hear what's possible.

Experience voice in action. Call and chat with a live Lorikeet agent. Or listen to calls to hear what's possible.

Built for fintech, healthtech
and complex regulated use cases

Built for fintech, healthtech and complex regulated use cases

Multi-agent coordination at scale

Multi-agent coordination at scale

Action taking through team of agent architecture - voice able to interact with any third party to take action without APIs
Action taking through team of agent architecture - voice able to interact with any third party to take action without APIs
Model switching to ensure low latency and high precision
Model switching to ensure low latency and high precision
Full customer data context across channels and conversations
Full customer data context across channels and conversations

Built for fintech, healthtech
and complex regulated use cases

Built for fintech, healthtech and complex regulated use cases

Multi-agent coordination at scale

Multi-agent coordination at scale

Lorikeet Voice 2.0 deployed to support high stress financial aid

In just two days, Voice 2.0 was live and supporting 300,000 families during federal SNAP disruption, handling 60,000+ emergency calls in English, Spanish, and Mandarin. Multilingual voice AI eliminated wait times and language barriers when vulnerable communities needed food assistance most.