Intelligence that
aligns to you
Capturing meta-aware intelligence text, audio and audio-visual input streams.
Self-Hosted Voice AI Gateway
› Quick Start
# Self-host the full stack. Works on macOS, Linux, and WSL.
$ curl -fsSL https://whissle.ai/install.sh | bash
Pulls the Docker image, configures API keys, and starts with Docker Compose.
Whissle bridges the gap between discriminative and probabilistic AI.
A modular intelligence layer that converts any stream — audio, text, or video — into transcripts, emotion, intent, and actionable insights. Instantly, privately, at scale.
Real-time natural language tokens
Traditional ASR systems transcribe quickly but miss deeper meaning. Context, emotion, and intent disappear the moment words are captured.
Multi-modal Intelligence
Multi-modal LLMs offer richer insights but can't keep up in real time. You shouldn't have to choose between depth and speed.
Real-time natural language tokens
Traditional systems, like LLM and ASR, transcribe quickly but miss deeper meaning. Context, emotion, and intent disappear the moment words are captured or LLMs not work in streaming on the text.
Multi-modal Intelligence
Multi-modal LLMs offer richer insights but can't keep up in real time. You shouldn't have to choose between depth and speed.
Whissle bridges the gap between discriminative and probabilistic AI.
A modular intelligence layer that converts any stream — audio, text, or video — into transcripts, emotion, intent, and actionable insights. Instantly, privately, at scale.
Text, audio and video streamed IN, structured intelligence OUT.
META-1 extracts transcription, emotion, intent, entities, age, and gender by understanding in-between words. No accumulated errors, no added latency. Audio & text today, video tomorrow.
18,189 total vocabulary tokens — 9,919 metadata + 8,270 speech tokens decoded in a single CTC beam search. Discriminative AI: grounded outputs, zero hallucination.
Stream2Action Architecture
Any input stream → META-1 → Structured JSON → Actions
Get Whissle
Self-host on-prem, use our cloud API, or explore the research — your data, your choice, your intelligence.
Whissle Gateway
Full voice AI stack — ASR, LLM, TTS, diarization — on a single GPU. Self-hosted Docker for on-prem. Cloud API returning soon.
Whissle Browser
AI browser with ambient voice intelligence, adaptive theming, inline annotations, and Lulu built in. Free download for macOS.
Agents Studio
Build, test, and deploy AI voice agents with Lulu. Cloud API, voice cloning, analytics dashboard — coming soon.
Developer Docs
API reference, streaming examples, and deployment guides for ASR, TTS, LLM, and voice agents.
Meta-1 Foundation Model
Multi-modal discriminative model — emotion, intent, age, gender, and entity detection from any input stream in a single forward pass.