AI Infrastructure for Toys & Devices
Build voice-enabled toys and connected devices that actually work with real children. Child-optimized speech recognition, low latency, and APIs designed for embedded systems.
Built for Children's Voices
Generic speech recognition fails with children. UG's ASR is trained specifically on kids ages 3-12, handling the high pitch, mispronunciations, and background noise of real play environments.
Child Speech Recognition
ASR models trained on children's voices. Higher accuracy on young speakers than any general-purpose system. Works with accents, speech impediments, and background noise.
Low Latency Responses
Sub-second response times for natural conversation. Kids don't wait. The toy responds as fast as they expect.
Offline-First Design
Graceful degradation when connectivity drops. Core features work offline, with cloud enhancement when available.
Wake Word Detection
Custom wake words for your brand. Always-listening detection that's power-efficient and privacy-conscious.
Designed for Hardware Constraints
Toys and devices have real constraints: battery life, processing power, memory, and cost. UG infrastructure is built for embedded systems and real hardware constraints.
Lightweight SDKs
Minimal footprint for embedded systems. Works on ARM processors, limited RAM, and constrained environments.
Power Efficient
Optimized for battery-powered devices. Smart duty cycling and efficient protocols extend play time.
Edge Processing
On-device processing for latency-sensitive features. Reduce round trips and improve responsiveness.
OTA Updates
Update characters, content, and capabilities after shipping. Keep devices fresh without hardware recalls.
What Teams Build
Interactive Plush
Talking stuffed animals and characters
Learning Tablets
Voice-enabled educational devices
Smart Speakers
Kid-safe voice assistants
Educational Robots
Coding and STEM companions
Story Players
Interactive audio devices
Connected Games
Physical toys with digital features