Leveraging our AI algorithm R&D capabilities and experience in smart hardware integration, we provide clients with end-to-end customized services—from requirements definition, algorithm development, and hardware/software design to app development, testing, and mass production and market launch. Our services span multiple sectors, including consumer electronics, smart home, healthcare, and industrial IoT, helping clients rapidly turn AI product concepts into market-leading hits.
I. Core Technical Capabilities
1. Custom AI Algorithm Development
We support the customization and porting of algorithms for computer vision (image recognition, object detection, facial recognition), voice interaction (voice wake-up, semantic understanding, TTS synthesis), and intelligent sensor data analysis (behavior recognition, health data modeling, environmental sensing). We can optimize algorithm models for different hardware computing capabilities (MCU/ARM/GPU) to achieve lightweight deployment while balancing recognition accuracy and operational efficiency.

2. Smart Hardware Design and Integration
Integrates wireless communication technologies such as Bluetooth, Wi-Fi, and 5G; handles AI chip selection (e.g., RK3568, HiSilicon Hi3516), sensor module integration (cameras, microphone arrays, IMU inertial sensors), and low-power circuit design; provides hardware reliability testing and compliance support for EMC, CE, FCC, and other standards to ensure stable hardware operation.

3. Full-Stack Software Development
◦ Device Firmware: Develop functions including AI algorithm drivers, device status management, local data processing and upload, and OTA remote updates;
◦ Mobile Apps: Customize Android and iOS apps to enable device pairing, AI function control, data visualization and analysis, and user-specific settings; support integration with third-party platforms (e.g., WeChat Mini Programs, smart home ecosystems);
◦ Cloud Platform: Build an AI data training and management platform that supports massive device data storage, iterative optimization of algorithm models, and remote device monitoring and operations and maintenance.

4. End-to-End Project Managemen
Adhering to the IPD (Integrated Product Development) process, we assemble a dedicated project team (comprising algorithm engineers, hardware engineers, software engineers, and test engineers). From requirements review and solution design to prototype development and mass production delivery, we provide visual progress reports throughout the entire process to ensure the project is completed on time, on quality, and within budget.

II. Success Stories Across Multiple Sectors
1. Consumer Electronics: AI-Powered Translation Earbuds
We customized AI-powered translation earbuds for an audio brand, integrating an offline speech translation algorithm that supports real-time translation between over 40 languages with a voice wake-up rate of 98%. The companion app allows users to save translation records, switch languages manually, and access speech correction features. After launch, the product sold over 50,000 units in its first sales cycle thanks to its core selling point of “translation without an internet connection,” becoming one of the top three best-selling items in the translation earbud category on cross-border e-commerce platforms.

2. Smart Home Sector: AI Visual Smart Door Lock
We customized AI vision-based smart door locks for a smart home company. Equipped with facial recognition algorithms and liveness detection technology, these locks can accurately identify the facial features of the elderly and children while preventing deception via photos or videos. They support AI learning of user door-opening habits and automatically integrate with smart devices throughout the home (e.g., turning on lights or activating the air conditioner upon opening the door). The companion app enables remote authorization for unlocking, alerts for abnormal unlocking attempts, and access to door-opening logs. This product passed safety certification by the Ministry of Public Security, and mass production sales have exceeded 200,000 units.

3. Healthcare Sector: AI Smart Health Monitoring Wristband
We developed a custom AI smart health monitoring wristband for a medical technology company. It integrates a PPG heart rate sensor and an ECG sensor. Using AI-powered ECG analysis algorithms, it can screen for potential health risks—such as arrhythmias and myocardial ischemia—in real time and generate professional health reports. The app supports data synchronization with hospital health management platforms, facilitating remote diagnosis by doctors. The product has obtained a Class II Medical Device Filing Certificate and is already in use at several community hospitals.

III. Standardized Collaboration Process
1. In-Depth Discussion of Requirements: Collaborate with the client’s product manager to clarify the product positioning, core features, target users, budget, timeline, and compliance requirements, and produce a “Requirements Analysis Report.”
2. Customized Solution Design: Based on the requirements, produce an “AI Algorithm Selection Proposal,” “Hardware Design Proposal (including BOM),” “Software Architecture Diagram,” and “APP Prototype,” and initiate R&D after confirmation with the client.
3. Prototype Development and Testing: Complete PCB manufacturing, component procurement, firmware and algorithm integration testing, and app development; build a functional prototype; and conduct internal testing and gather feedback from the client.
4. Testing and Optimization: Conduct reliability testing (high and low temperature, drop, water and dust resistance), algorithm accuracy testing, and compliance testing; iteratively optimize the product based on test results.
5. Mass Production, Delivery, and After-Sales Service: Assist the client in setting up production lines and provide technical guidance; offer a 1-year free warranty, lifetime firmware upgrade service, and 24/7 technical support.

IV. Service Support System
• Dedicated Project Team: Each custom project is assigned one project manager and a specialized technical team, providing one-on-one support throughout the entire process.
• Rapid Prototyping Cycle: Deliver hardware solutions within 7 days and complete functional prototypes within 15 days, significantly shortening the product development cycle.
• Intellectual Property Protection: Clearly define the ownership of intellectual property rights for algorithms and hardware design solutions, and provide clients with patent application consulting services.
Accompanying Visual Design Descriptions:
1. Main Visual Service Flowchart
Featuring tech blue and light gray as the primary color scheme, the horizontal layout illustrates the entire process: “Requirement Communication → Solution Design → Prototype Development → Testing → Mass Production and Delivery.” Each stage is accompanied by a corresponding icon (a chatbot for requirement communication, a blueprint for solution design, a chip for prototype development, testing equipment for testing, and a production line for mass production and delivery). Process nodes are connected by dynamic arrows, with the core advantage—“Average R&D cycle shortened by 40%”—highlighted at the bottom.
2. Multi-Domain Application Scenarios
A three-panel layout is used to showcase consumer electronics (AI translation earbuds in use), smart home (AI door lock integrated with entry system), and healthcare (user wearing an AI fitness tracker to monitor health). Key AI features and customer benefits are listed below each scenario, with AI neural network line elements incorporated into the background to enhance the high-tech feel.
3. Technical Advantage Comparison Chart
This chart uses a left-right split-column bar chart format, with “Industry-Standard Solutions” on the left and “Nengsheng Customized Solutions” on the right. It compares data across four dimensions—algorithm recognition accuracy, hardware power consumption, R&D cycle, and mass production yield—to visually highlight the performance advantages of the customized service (e.g., 25% improvement in algorithm recognition accuracy, 40% reduction in R&D cycle).
4. Success Story Detail Chart
Create a separate detail chart for each case study. The left side displays a photo of the actual product, while the right side uses data cards to present key selling points and market achievements (e.g., “Mutual translation in over 40 languages,” “Initial sales exceeding 50,000 units,” “Ministry of Public Security security certification,” “200,000 units in mass production sales”), thereby enhancing persuasiveness.
