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Full-Stack IoT Product Development: From Concept to Intelligent
From product definition and AI development to mass production — we deliver one-stop solutions for smart, intelligent connected products.
We provide one-stop services covering the full lifecycle of IoT products, enabling your smart products to move quickly from concept to launch: Industrial Design → Hardware/PCB Design → Firmware Development → Edge AI Integration → Wireless Connectivity → Cloud Platform Development → Mobile App Development.
From the physical shell to intelligent cloud dashboards, we cover every layer
with AI woven in.
Key Features
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End-to-end Intelligent IoT developmentIndustrial design, electronics, firmware, edge AI & cloud platform
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High-volume IoT project deliverySmart home, industrial IoT, medical devices & wearables
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Cross-industry Product ExpertiseComplete solutions for diversified intelligent hardware
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DFM-oriented Design ServiceCost control, manufacturability optimization & global compliance
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Smart Hardware & Edge AI Development
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Hardware Design: Schematic design, PCB layout, component selection, hardware debugging -
Embedded Firmware: RTOS/Linux driver development, BSP porting, OTA upgrades, low-power optimization
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Sensor Integration: Accelerometer, gyroscope, temperature & humidity, pressure, optical, biosensors, etc.
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Chip Platforms: STM32, NXP, ESP32, Nordic, TI, Qualcomm, Rockchip, Ambarella, Google Edge TPU, etc.
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AI Accelerator Integration: NPU, DSP and dedicated AI co-processor selection and integration for on-device ML inference
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Edge AI Deployment: TensorFlow Lite, ONNX Runtime, PyTorch Mobile — optimized inference on MCUs and edge processors
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Computer Vision: Object detection, face recognition, defect inspection, OCR — deployable on edge or cloud
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Connectivity Layer: Wireless Communication & AI Data Pipeline Networking
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Short-range Wireless: Wi-Fi, Bluetooth (BLE/Classic), Zigbee, Z-Wave, Thread, Matter
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Long-range / Cellular: LoRa, Sigfox, NB-IoT, LTE Cat M1, 4G/5G
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Wired Interfaces: RS232, RS485, Modbus, CAN, Ethernet
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Communication Protocols: MQTT, COAP, HTTPS, AMQP, XMPP
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RF & Certification: Antenna design, RF debugging, CE/FCC/SRRC certification support
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AI Data Pipeline: MQTT/HTTP streaming for ML inference requests, edge-to-cloud model sync, real-time sensor fusion data feed
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Platform Layer: Cloud Platform & AI Model Serving
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Cloud Platform Integration: AWS IoT, Azure IoT, Alibaba Cloud IoT, Tencent Cloud IoT, Private Cloud Deployment
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Device Management: Device registration, status monitoring, remote configuration, OTA firmware upgrades
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Data Services: Data collection, time-series database, API gateway, streaming data analysis
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Visualization: Real-time dashboards, historical data charts, custom reports
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AI Model Hosting & Serving: Cloud-based model training, AutoML pipelines, model registry, managed inference endpoints on AWS/Azure/GCP
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Predictive Analytics: Time-series anomaly detection, predictive maintenance, demand forecasting — with MLOps continuous retraining
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OTA Model Deployment: Independent AI model updates without firmware changes, A/B testing, drift detection & alerting
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Application Layer: AI-Powered End-User Interaction
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Mobile App:+ iOS (Swift)/Android (Kotlin) native development, cross-platform (Flutter/React Native)
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Web Dashboard: Responsive management backend, real-time monitoring, device control
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User Experience: Device network setup (Wi-Fi/Bluetooth one-click), QR code binding, push notifications
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Voice & Audio AI: Wake word detection, speech recognition (ASR), natural language understanding, voice biometrics
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Intelligent Automation: AI-driven rules engine, habit learning, proactive alerts, anomaly-based notifications
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Sensor Fusion AI: Multi-sensor data fusion for activity recognition, environmental monitoring, health & wellness analytics
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How We Develop an IoT Product
— The CONNECT Framework
Over years of IoT product delivery, we've refined a structured 7-phase process that eliminates surprises and keeps your project on schedule and within budget. We call it the CONNECT Framework.
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Clarify: Define product requirements, user scenarios, connectivity specs, and business goals. We align on what success looks like before a single line of code is written. AI/ML use case definition, data strategy, and inference latency requirements. -
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Outline: Industrial design concept exploration, system architecture design, technology stack selection, and feasibility study. We validate your idea on paper before committing resources. AI model architecture selection, training data assessment, and edge-vs-cloud inference trade-off analysis.
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Nail the Hardware: PCB schematic and layout, component sourcing, prototype fabrication, hardware bring-up, and electrical validation. AI accelerator integration, NPU thermal & power profiling, and on-device inference benchmark.
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Network the Software: Firmware development, cloud platform setup, mobile app development, and full-stack integration testing. ML model quantization & deployment, edge inference pipeline, and AI feature integration testing.
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Ensure Compliance: EMC pre-compliance testing, FCC/CE/RoHS certification support, DFM review, and pilot production run. AI model validation & bias testing, data privacy compliance (GDPR/CCPA), and AI safety assessment.
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Commercialize: Mass production ramp-up, supply chain management, quality control, and logistics coordination. AI model OTA deployment pipeline, A/B testing framework, and production model monitoring.
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Track & Improve: OTA firmware updates, cloud data analytics, user feedback loop, and product iteration support. Model drift detection, continuous retraining pipeline, and AI feature usage analytics.
Industries We Serve
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Al & Robotics -
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Smart Living -
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Smart Energy -
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Future Mobility -
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Industrial IoT -
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HealthTech -
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Consumer Electronics -
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Ed & Kids Tech -
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IP & Creative -
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AR/VR & Wearables
Ready to Start Your Intelligent IoT Project?
Book a free 30-minute technical consultation with our IoT team. We'll review your concept and give you:
Schedule My Free Consultation -
Feasibility assessment
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Rough timeline & budget estimate
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Key technical risks to consider
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No sales pitch
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Just engineering advice
The Top 5 IoT Project Failures — And How We Prevent Them
Underestimating Certification Time
Prevention: We start compliance planning on day one. Our pre-certified modules cut certification time by 40%.
Supply Chain Disruptions
Prevention: Dual-sourcing strategy for all critical components. We maintain a preferred component library of 2,000+ in-stock parts.
Poor RF Performance
Prevention: We do antenna simulation and anechoic chamber testing before prototype. No last-minute signal issues.
Security Vulnerabilities
Prevention: Security audit at 3 key stages. Penetration testing by third-party security firm. AI model validation, data privacy compliance (GDPR/CCPA), and drift monitoring included.
Cloud Cost Overruns
Prevention: We architect for cost efficiency. Typical client cloud costs under $0.50/device/month.
Why Work With Us
We're not a generalist design agency that does IoT on the side. Connected hardware product
development is our core business — and that focus is your competitive advantage.
IoT Products We've Brought to Life
From BLE-enabled consumer wearables to industrial-grade wireless sensor networks — here are a few of the connected products
we've taken from concept to production.
DingTalk AI Recorder
- Product Type: AI Office Recorder
- Industry: Al & Robotics
- Key Technologies: 6-Mic Array Audio + On-device Voice AI & Smart Meeting Transcription
- Deliverable: Full Hardware Development
ABB Charging Station
- Product Type: 7kW AC EV charging station
- Industry: Smart Energy
- Key Technologies: Dual-band Wi-Fi + Predictive Load Balancing AI
- Deliverable: Charging station R&D
Honeywell Air Purifier
- Product Type: Smart Air Purifier
- Industry: Smart Living
- Key Technologies: Aerodynamic Air Duct + AI Air Quality Prediction & Auto-Adjustment
- Deliverable: Full Product Development
Got Questions?
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Q.What happens if a chip we're using goes out of stock?
We design all hardware with at least one drop-in alternative chip. Our component team actively monitors supply chain risks and provides 3-month advance warnings.
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Q.Can you support OTA firmware updates after launch?
Yes. We provide a complete OTA infrastructure including secure firmware signing, staged rollouts, and analytics. We also offer ongoing maintenance packages.
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Q.How do you handle IoT security?
Security is built in from day one: secure boot, encrypted communications, device authentication, and regular security audits. We follow AWS/Azure IoT best practices.
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Q.What if we already have a design but need help with production?
We offer design-for-manufacturing reviews and production transfer services. We can take over existing designs and prepare them for mass production.
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Q.What's the smallest and largest project you take?
We take projects from $50k startup prototypes up to $2M+ full-stack IoT platform development.
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Q.Can you deploy AI models directly on edge devices?
Yes. We specialize in on-device AI inference — from tiny MCUs running TensorFlow Lite Micro to powerful edge processors with dedicated NPUs. We handle model quantization, optimization, and deployment so your product doesn't need constant cloud connectivity to be intelligent.
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Q.How do you handle AI model updates after product launch?
We build OTA model deployment into the product architecture from the start. This means you can update AI models independently of firmware — enabling continuous improvement, A/B testing, and rapid response to model drift without disrupting users.
Let's Create Something Remarkable
Your vision deserves partners who understand excellence. Let's discuss how we can transform your product concept into a market success.
