Edge AI Co-Design Services
Edge AI Hardware & Software Co-Design Services
Bring Intelligence to the Edge with Co-Designed AI Solutions
In a world where real-time insights, ultra-low latency, and offline decision-making are essential, edge AI is leading the next evolution of intelligent electronics. Promwad is your trusted partner for AI software development services and edge computing hardware consulting, offering an integrated approach to building edge-native devices — from silicon to cloud integration.
Our team combines AI software development solutions with deep expertise in embedded platforms, delivering tailor-made edge AI solutions that balance performance, power efficiency, and scalability.
Why Co-Design Matters in Edge AI Projects
Unlike traditional cloud-based AI, edge AI systems must work under strict constraints:
- Limited power and memory
- Real-time response requirements
- Intermittent or no connectivity
- Regulatory and privacy concerns (GDPR, HIPAA)
That’s why we focus on co-designing hardware and AI software together, ensuring:
- Efficient ML model execution on specific MCUs, NPUs, and ASICs
- Optimised thermal, battery, and size performance
- Seamless integration of sensors, RF modules, and logic blocks
Our Edge AI Co-Design Capabilities
AI-on-Edge Hardware and Software Development Services
- Edge computing systems development
- Data gathering and labelling
- AI model selection, training, pruning, and quantisation
- Model deployment using TensorFlow Lite, ONNX, TVM, and Edge Impulse
- OTA-ready inference pipelines
Edge Computing Hardware Consulting
- Platform selection: NXP, Qualcomm, Ambarella, NVIDIA, Lattice Semiconductors, AMD, Altera, Microchip
- Low-power system architecture (MCU, MPU, SoC, FPGA)
- Custom board design, thermal optimisation, RF & analog layout
Edge AI System Integration
- Sensor fusion: vision, voice, IMU, biosignals, RF
- AI accelerators (NPUs, DSPs, tinyML on MCUs)
- Connectivity and Networking / MQTT, RTP, ONVIF, IPMX
- Bridging edge devices with central systems via gateways, including encryption, authentication, storage and processing
Use Cases We Deliver
Smart Retail
Edge AI Solution Example: Real-time object detection for smart kiosks
Benefits: Faster checkout, lower cloud costs
Industrial IoT
Edge AI Solution Example: Vibration anomaly detection on motors
Benefits: Predictive maintenance, reduced downtime
Medical Devices
Edge AI Solution Example: On-device biosignal analysis (ECG, SpO2)
Benefits: Privacy-compliant, real-time feedback
Automotive
Edge AI Solution Example: Driver monitoring and object recognition in-cabin
Benefits: Improved safety, lower latency
Consumer Electronics
Edge AI Solution Example: Face and gesture recognition on battery-powered devices
Benefits: Instant response, extended battery life
Our AI Hardware/Software Co-Design Workflow
1. Feasibility Study
Define goals, data availability, power and latency requirements
2. Hardware Platform Selection
MCU vs SoC vs FPGA + accelerator review
3. Model Design & Training
Based on public data or your proprietary datasets
4. Firmware & ML Integration
Edge inference pipeline setup
5. Prototype & Test
Bring-up + validation of accuracy, throughput, power
6. Industrialisation Support
DFM, test plans, certification, EMS onboarding
Why Promwad
Ready to Build Edge Intelligence Into Your Device?
Whether you’re starting from a concept or scaling an existing design, our artificial intelligence software development and edge computing product design consultants can help you:
- Shorten time-to-market
- Reduce BOM and energy footprint
- Deliver real-time performance where it matters
Let’s build smarter embedded systems — together.
Contact us to discuss how we can support your next Edge AI project!
Drop us a line about your project! We will contact you today or the next business day. All submitted information will be kept confidential.