What We're Building
Our research and development focus areas — exploring the future of embedded AI and intelligent hardware systems.
Smart Home Automation
Exploring intelligent home systems that learn from habits and optimize living environments through contextual awareness.
Research Focus:
- Adaptive learning algorithms
- Voice and gesture control
- Energy optimization
- Security integration
- Cross-device synchronization
Technology Stack:
TensorFlow LiteWi-FiCellular (eSIM)ZigbeeMatter Protocol
Embedded AI Systems
Developing custom AI solutions optimized for embedded hardware with minimal power consumption and maximum efficiency.
Research Focus:
- Ultra-low power consumption
- Real-time inference
- Custom neural networks
- Hardware acceleration
- Edge processing
Technology Stack:
ARM CortexTinyMLOpenVINOONNX Runtime
IoT Ecosystems
Building connected device ecosystems with intelligent data processing and secure, scalable architecture.
Research Focus:
- Scalable architecture
- Secure communication
- Cloud integration
- Real-time monitoring
- Predictive analytics
Technology Stack:
MQTTLoRaWANAWS IoTKubernetes
Edge Computing
Researching high-performance edge computing that brings AI processing closer to data sources for lower latency.
Research Focus:
- Low latency processing
- Distributed computing
- Offline capability
- Bandwidth optimization
- Fault tolerance
Technology Stack:
NVIDIA JetsonIntel NUCDockerKubernetes Edge
Follow Our Progress
Interested in learning more about our research and development? Check out our roadmap or get in touch to follow our journey.