Whissle develops Meta-aware VoiceAI models that process audio, video, and text in a multi-modal fashion for real-time agentic applications. The platform delivers instant transcripts, contextual intelligence, and actionable information from multimedia streams at scale. Offerings include foundation models, AI search agents like Lulu, and Studio tools for transforming multimedia into insights.
Funding
Funding not disclosed
Founders
Product
Problem
Many current AI solutions lack a natural, real-time interface for multi-modal interactions, resulting in communication bottlenecks and hindering effective task automation. Existing platforms often require coding expertise to customize and implement AI-driven customer communication strategies.
Solution
Whissle offers a platform that provides a natural interface for multi-modal AI, enabling real-time, low-latency conversations and task automation. The core of the platform is a stream-to-action model that facilitates modular, multi-agentic conversations. This architecture allows businesses to leverage AI to understand and resolve user inquiries without requiring coding, leading to more efficient and effective customer communication. Whissle also builds custom AI solutions tailored to specific business needs.
Target Audience
Whissle targets businesses seeking to improve customer communication and automate tasks through AI, particularly those lacking in-house coding expertise.
Features
- Real-time VoiceAI demo showcasing conversational capabilities
- Stream-2-Action model for low-latency modular multi-agentic conversations
- Multi-modal input processing (voice, text, etc.)
- Task automation capabilities driven by AI
- No-code customization for user inquiry resolution