Multimodal LLMs, emotion computing and a full-stack self-developed edge-cloud system β warm, mass-producible AI companionship
The edge handles real-time, privacy-sensitive tasks while the cloud drives complex reasoning and continuous evolution β every capability ships in mass-produced products
Five self-developed capability blocks covering the full chain from chip adaptation to cloud agents
Full-stack edge-cloud architecture: leading foundation models in the cloud, fully self-developed differentiated small models on the edge, with core algorithms such as phoneme fuzzy matching 100% self-controlled.
Learn more02Rich product references across six chip platforms: Rockchip RK/RV, ASR, ESP32, JieLi AC791, Bluetrum 5800 and China Mobile 307 β flexible selection across all price tiers.
Learn more03A unified AI operating system built on the hardware edge, orchestrating all self-developed ported models β offline-capable, data never leaves the device.
Learn more04A full pipeline of training, compression, distillation, porting and on-device real-time inference β packing LLM capabilities into MCU/SoC-class hardware.
Learn more05Self-developed AIoT platform with a complete Agentic system; IoT devices support both fully-automatic and user-defined OTA modes for continuous evolution.
Learn moreSix technology pillars behind a unique AI companionship experience
Our self-developed Companion-LLM is purpose-built for companionship. It accepts text, voice and image input, understands emotions and needs, and responds naturally with warmth.
Deep emotional understanding across dialogue, tone of voice and expression β your AI companion truly understands how you feel.
Seamlessly connecting virtual AI with physical hardware β a unified interaction protocol keeps the experience consistent across every carrier.
A vector-database memory architecture lets your AI companion remember every conversation and every important moment, forming shared memories unique to you.
Every AI companion has a unique personality and growth path, evolving through interaction to become a truly one-of-a-kind partner.
End-to-end encryption, federated learning and differential privacy keep user data safe; sensitive capabilities like voice wake-up and vision run entirely on-device.
AIYonder's breakthroughs in AI companionship
A pioneering emotional state-machine model keeps your AI companion's feelings consistent and coherent over long-term interaction β no split personality. Continuous emotion-vector modeling enables smooth transitions.
A filtering mechanism based on importance, recency and emotional value decides what to keep long-term and what to let fade β remembering what truly matters.
An innovative state-sync protocol keeps context and emotional state consistent across phone, toys and web β wherever you are, it's the companion you know.
An efficient personalization framework adapts your AI companion to your language style and preferences with minimal interaction data β without forgetting general abilities.
We keep exploring the frontiers of AI companionship
Building more complete and stable AI personality models
Exploring AI companions for mental-health support
Modeling collaboration and social behavior across multiple AIs