Emotion recognition · Long-term memory · Personality · Proactive care · Safety guardrails — companion robots, early-education hardware and health terminals that sound human from the first word.
Gentle, sharp-tongued or childlike is only the starting point — personality grows day by day through conversation, becoming more itself.
Recognizes emotion in real time and responds with empathy — comforting when you're low, cheering when you're high.
"Three-tier memory keeps accumulating preferences and stories — that noodle place you mentioned? It remembers."
Speaks up in context: a check-in after silence, a nudge at a task milestone — without being asked.
Knowledge-base-grounded facts with safety guardrails against off-limits topics — accurate answers, safely delivered.
Human-like is the factory default — from wake word to LLM, nine configuration families are fully open, and still growing.
Personality and emotion give companionship warmth — seniors and kids just talk, no learning curve.
Storytellers and learning devices with custom personas — education through conversation kids keep coming back to.
Chronic-condition companionship with proactive care — timely reminders that never miss, for the family's peace of mind.
Knowledge-base-grounded business facts, accurate answers on demand — it even saves customer-service training.
Streaming low-latency dialogue plus tool calls — comment interaction, weather lookups and product pitches in one flow.
Full voice-interaction protocol — wake word, interruption, intent control — IoT devices act on conversational commands.
No integration lock-in and no version hell — plain WebSocket works out of the box, alongside Android, Ubuntu and ESP32 SDKs.
WebSocket and all three SDKs share one core — full-duplex dialogue powered by our in-house Sentience Engine.
// 1 · One WebSocket, connected
const ws = new WebSocket(
'wss://api.your-domain.com/ws?sn=dev_1&pk=…&ps=…')
// 2 · Stream mic PCM (16k/16bit/200ms frames)
ws.send(pcmFrame)
// 3 · Receive dialogue: text & audio in sync
ws.onmessage = (e) => {
if (typeof e.data === 'string') {
const msg = JSON.parse(e.data)
if (msg.type === 'reply_delta') bubble.append(msg.text)
} else {
speaker.play(e.data) // PCM audio frame
}
}