Our
Services
Comprehensive edge AI and IoT services to bring intelligence to the edge of your network
Edge AI Consulting
Strategic guidance on edge AI adoption, IoT infrastructure assessment, and edge computing roadmap development
Deliverables:
- Edge readiness assessment
- IoT architecture review
- Edge deployment strategy
- Cost-benefit analysis
Custom Edge AI Models
Develop optimized machine learning models specifically designed for edge deployment with minimal latency
Deliverables:
- Model compression & quantization
- Hardware-specific optimization
- Real-time inference testing
- Edge device deployment
IoT Platform Integration
Seamlessly connect edge AI capabilities with your existing IoT infrastructure and cloud systems
Deliverables:
- Device management setup
- Edge-to-cloud orchestration
- Protocol integration
- Security implementation
Edge Data Analytics
Process and analyze data at the edge for real-time insights with minimal cloud dependency
Deliverables:
- Edge analytics pipelines
- Real-time processing
- Data aggregation strategies
- Intelligent filtering
Edge MLOps
Deploy, monitor, and update ML models across distributed edge devices with automated workflows
Deliverables:
- OTA update systems
- Remote model versioning
- Edge device monitoring
- Performance analytics
Edge AI Training
Empower your team with comprehensive edge AI training and IoT best practices
Deliverables:
- Edge AI fundamentals
- Hands-on device programming
- IoT security training
- Ongoing technical support
Our Technology Stack
Industry-leading edge AI frameworks and IoT platforms
Edge AI Frameworks
IoT Platforms
Hardware Accelerators
Communication Protocols
Our Process
A proven methodology for successful edge AI implementation
Discovery & Assessment
Analyze your current IoT infrastructure, identify edge computing opportunities, and define objectives
Architecture Design
Design scalable edge AI architecture optimized for your specific use cases and hardware constraints
Development & Testing
Build and optimize edge AI models, conduct rigorous testing on target hardware platforms
Deployment & Integration
Deploy models to edge devices, integrate with existing systems, and establish monitoring
Optimization & Support
Continuously monitor performance, optimize models, and provide ongoing technical support