AI × Hardware Case Studies
Explore our innovative connected hardware projects powered by AI
AI Education Headset
On-device AI agent with real-time translation and conversational learning
AI Pet Companion Camera
Vision AI for pet recognition and intelligent interaction
AI Health Monitoring Scanner
Multi-modal sensing with AI health assessment
AI Emotionally Intelligent Alarm
Natural emotion wake-up and AI morning regulation
What We Provide
01Intelligent Strategy & Product Definition
Identify key scenarios where AI can amplify existing/planned hardware. Define intelligent direction, product strategy, and commercialization path.
02Multi-Modal Sensing & AI Model Design
Design trainable features from motor, current, acceleration, pressure, audio, and video signals. Build multi-modal recognition and prediction models.
03Embedded Systems & Connected Architecture
Design end-to-end 'Device ↔ App ↔ Cloud' protocol design, data synchronization, log monitoring, state management, and OTA upgrade systems. Ensure device intelligence is operable, iterable, and continuously evolving.
04Cross-Device Experience & Application Design
Design hardware interaction logic, app learning/training journeys, mini-program/app experiences, after-sales and maintenance processes. Make AI not just run in devices, but become part of the user experience.
05Prototype Validation & Small-Batch Collaboration
Support factory/supply chain collaboration for prototyping, small-batch validation, user testing, and data-driven next version planning. Help enterprises go from 0 → pilot production → scaled intelligent devices.
Who This Is For
Enhance New Products with AI Technology and Smart Selling Points
For companies looking to integrate voice recognition, behavior sensing, intelligent decision-making, and other AI capabilities into new products to achieve stronger differentiation and commercial advantages against competitors.
Companies Transitioning from Traditional Manufacturing to Smart Devices / IoT
For manufacturing companies with mature hardware that want to achieve intelligent and connected upgrades through algorithms, data, and systematic software collaboration, transitioning from traditional devices to smart devices.
Early-Stage Hardware Startups Needing 0→1 Intelligent Validation
For startups with hardware prototypes or basic functionality but lacking algorithm teams, AI architecture capabilities, or software collaboration experience. These teams need expert support to quickly complete concept definition, PoC validation, and operational version deployment.