Real-time, multi-speaker voice AI for collaborative applications via WebSocket API.
Product memo
Developers building real-time voice AI applications use Sun to enable direct, collaborative voice interactions. It overcomes the limitations of single-user models by handling multiple speakers, natural interruptions, and preventing barge-ins. The platform provides a WebSocket API for integration, offering a more human-like conversational experience.
For who
Developers building real-time voice AI applications
Solves what
Enables seamless, collaborative voice interactions with AI, overcoming limitations of single-user models.
- Real-time multi-speaker voice model
- Long context window
- WebSocket API integration
In their own words
Realtime Multi-Speaker Voice Model
Sun isn't just a chatbot. It's a real-time collaborator designed to understand the nuances of human conversation.
10x more Long Context Window than ChatGPT Realtime and Google Gemini Live
Commercial cues
Model
subscription
Free tier
Yes
Trial
No
Pricing Strategy
- • A free tier provides developers an entry point to test real-time voice.
- • Minute-based usage limits encourage upgrades as application needs grow.
- • Higher tiers offer more concurrent connections, supporting larger-scale applications.
Operator context
Operating setup
Founded
Jun 2026
Platform
API
Audience
Developers
Social footprint
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Small Team
About Getsun Expand
Sun provides developers with a real-time multi-speaker voice AI model, enabling collaborative voice interactions that move beyond single-user chatbots. It addresses the need for more human-like conversations in applications by offering features like natural interruption handling and barge-in prevention.
The platform's core value lies in its ability to manage complex, multi-participant dialogues through a WebSocket API, making it suitable for advanced voice AI integrations. This focus on collaborative voice AI helps developers build more dynamic and responsive conversational experiences.