ナピル List of Products and Services

We would like to introduce a case study of the development of a "Smart Factory Management System" at our company. During the development, we faced challenges such as data integration and normalization from various sensors (vibration, temperature, pressure, etc.). To overcome these challenges, we implemented data pipeline design, anomaly detection algorithms, and enhanced UI for on-site use. 【Technical Challenges】 ■ Data integration and normalization from various sensors (vibration, temperature, pressure, etc.) ■ Robust analysis processing against noise interference and data loss ■ Design of a visualization dashboard that is user-friendly for on-site workers *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case of developing an "AI Meeting Minutes Automation System" at our company. During the development, we faced challenges such as processing simultaneous speech from multiple speakers and speaker identification. In response to these challenges, we enhanced the acoustic model and language model using BERT, and also supported API integration with major meeting tools like Zoom and Teams. 【Technical Challenges】 ■ Processing simultaneous speech from multiple speakers and speaker identification ■ Custom dictionary support for industry-specific and technical terms ■ Noise removal in noisy and echo-prone environments *For more details, please download the PDF or feel free to contact us.

We would like to introduce examples of systems for big data analysis on Google Cloud Platform. We have implemented "big data analysis with BigQuery," "result storage with CloudSQL," and "system integration with Pub/Sub." Please feel free to contact us if you have any inquiries. 【Areas of Responsibility】 ■ Infrastructure design and construction, requirements definition, design, development, and maintenance *For more details, please refer to the related links or feel free to contact us.

We would like to introduce a case study of a large-scale real-time infrastructure on AWS. We conduct real-time data analysis using Kinesis Data Stream and Kinesis Stream Analytics. Please feel free to contact us when needed. 【Areas of Responsibility】 ■ Infrastructure PoC, design and construction, performance tuning, maintenance *For more details, please refer to the related links or feel free to contact us.

We would like to introduce a case study on "Remote Monitoring and Control of Solar Power Plants." This system involves installing solar power generation on the roofs of corporate offices and factories, as well as on vacant land, and consuming the generated electricity within the company, contributing to the reduction of energy costs and CO2 emissions. In particular, the ENE Cloud solar power generation system boasts industry-leading conversion efficiency and maximizes the use of electricity generated from solar power by utilizing the ENE Gateway for real-time energy control. 【Features and Benefits of the System】 ■ Maximum utilization on weekdays ■ Output adjustment on holidays ■ Prevention of reverse flow ■ Co-installation of battery storage systems ■ Utilization as disaster countermeasures *For more details, please refer to the related links or feel free to contact us.

We would like to introduce a case where we developed an "X-ray Image Analysis System" utilizing deep learning technology. During the development, we faced challenges such as optimizing computational resources to efficiently process high-resolution data specific to medical images. In response to these challenges, we built a cloud-based distributed learning environment and implemented continuous improvements to the algorithms. Furthermore, through collaborative validation with medical institutions, we advanced implementations that meet clinical needs. [Technical Challenges] - Optimization of computational resources to efficiently process high-resolution data specific to medical images - Ensuring the versatility of algorithms to accommodate the diversity of lesions and individual differences - Reducing false detection rates and balancing accuracy to ensure practicality in clinical settings *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of a "Demand Forecast Optimization System" at our company. In traditional inventory management, issues such as excess inventory and stockouts were common, leading to losses for the business. Additionally, during development, we faced challenges such as addressing the complexity of models due to the integration of external data (weather, campaigns, etc.). In response to these issues, our company implemented feature engineering, ensemble learning, and the development of a visualization dashboard to enhance operational capabilities. 【Technical Challenges】 ■ Addressing model complexity due to the integration of external data (weather, campaigns, etc.) ■ Preventing overfitting to rare events (sudden demand fluctuations) and ensuring flexibility ■ Designing an interface that presents learning results in a way that is easy for business personnel to understand and utilize *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of an "Automotive Image Recognition Control System" at our company. During the development, we faced challenges such as ensuring the versatility of image processing that is robust against adverse conditions like low light, backlighting, and raindrops. To overcome these challenges, we are implementing multi-sensor fusion with infrared cameras, distillation of deep learning models, and support for compact GPUs. 【Technical Challenges】 ■ Ensuring the versatility of image processing that is robust against adverse conditions like low light, backlighting, and raindrops ■ Maintaining a balance with onboard processing capabilities through model lightweighting ■ Optimizing the end-to-end pipeline to minimize detection latency *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of our "Edge Processing IoT Platform System." During the development, we faced challenges such as addressing the constraints of edge devices (processing power and memory) and model lightweighting. In response, we implemented model compression techniques, checkpoint-based update design, and a local/cloud cooperative data structure. 【Technical Challenges】 ■ Addressing the constraints of edge devices (processing power and memory) and model lightweighting ■ Ensuring the reliability of model updates in remote locations ■ Data synchronization and consistency maintenance in intermittent communication environments *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of a "DevOps Automation System" at our company. During the development, we faced challenges such as balancing security assurance with automated testing, managing dependencies between microservices, and version control. To address these issues, we implemented Infrastructure as Code (IaC), automated testing, and canary release strategies. 【Technical Challenges】 ■ Balancing security assurance with automated testing ■ Managing dependencies between microservices and version control ■ Cost control through cloud resource optimization *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case of developing a "Customer Behavior Prediction System" at our company. During the development, we faced challenges such as time series modeling of user behavior and personalization. To overcome these, we implemented time series analysis models, stream processing infrastructure, and privacy protection methods. 【Technical Challenges】 ■ Time series modeling of user behavior and personalization ■ High-frequency real-time data processing and model updates ■ Design considerations for privacy and personal information protection *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of a "Manufacturing Quality Control System" at our company. During the development, we faced challenges such as improving the precision of image processing to address minute defects on product surfaces and varying reflection conditions. In response to these challenges, we established a system utilizing high-resolution cameras, specialized lighting, models leveraging transfer learning, and a real-time alert mechanism. 【Technical Challenges】 ■ Improving the precision of image processing to address minute defects on product surfaces and varying reflection conditions ■ Ensuring adaptability to different products and lines ■ Immediate feedback and alerting during defect detection *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of an "ERP Business Management System" at our company. During the development, we faced challenges such as flexible module design to meet the requirements of different industries and business types. In response to these challenges, we established a module-based service design, role-based access control (RBAC) for permission management, and a rapid update system through continuous integration and continuous deployment (CI/CD). 【Technical Challenges】 ■ Flexible module design to meet the requirements of different industries and business types ■ API integration with existing systems and maintaining data consistency ■ Cloud design that balances security and governance *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of a "hybrid infrastructure system" at our company. During the development, we faced challenges such as the need to address the specification differences across different clouds through abstraction. In response to these challenges, we built a secure connection infrastructure using IaC tools (such as Terraform), multi-cloud monitoring, and SD-WAN, successfully resolving the issues. [Technical Challenges] - Addressing specification differences across clouds through abstraction - Network and authentication setup for on-premises integration - Complexity of overall monitoring and alert design *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of a "Fintech Mobile Application" at our company. During the development, we faced challenges such as strengthening security (encryption and authentication) on mobile devices. In response to these challenges, we implemented FIDO-compliant biometric authentication, scalable APIs on Kubernetes, and cryptocurrency-compatible modules, successfully addressing each issue. 【Technical Challenges】 ■ Strengthening security (encryption and authentication) on mobile devices ■ Ensuring scalability during real-time transactions and high-load situations ■ Balancing regulatory compliance (AML/KYC) with user convenience *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case of developing a "digital asset trading platform" at our company. During the development, we faced challenges such as rising transaction costs and delays in transactions during peak times. In response to these issues, we implemented fee reductions through Polygon compatibility, designed metadata compliant with ERC-721 standards, and introduced a simplified wallet integration feature with consideration for UI/UX. [Technical Challenges] - Addressing rising transaction costs and delays during peak times - Standardization of metadata design for copyright and ownership - Strengthening security for wallet integration and simplifying user pathways *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of an "in-vehicle infotainment system" at our company. During the development, we faced challenges such as balancing usability and safety while driving. To address these issues, we implemented multi-process design on a real-time OS, voice recognition using edge AI, and system integration utilizing CAN communication. 【Technical Challenges】 ■ Balancing usability and safety while driving ■ Integration of interfaces with in-vehicle hardware ■ Ensuring real-time processing of audio and video *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of a "DeFi decentralized finance trading platform" at our company. During the development, we faced challenges such as bugs in smart contracts and security vulnerabilities. To address these issues, we implemented code audits and formal verification, adopted decentralized oracles like Chainlink, and optimized the wallet integration UI. 【Technical Challenges】 ■ Addressing bugs and security vulnerabilities in smart contracts ■ Preventing price manipulation risks through integration with price oracles ■ Improving UX (management of private keys and visualization of fees) *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of a "Supply Tracking System" at our company. During the development, we faced challenges such as the accuracy of data input at each stage and automation. To address these issues, we implemented two-dimensional code integration, IoT sensor devices, and built a private chain based on Hyperledger Fabric. [Technical Challenges] ■ Accuracy and automation of data input at each stage ■ Standardization of smart contracts in the industry ■ Ensuring real-time capabilities through integration with IoT *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of a "Customer Support Automation System" at our company. During the development, we faced challenges such as improving the flexibility in responding to ambiguous inquiries. In response to these challenges, we implemented a BERT-based natural language understanding model, incorporating self-learning capabilities from dialogue history and emotion classification logic. 【Technical Challenges】 ■ Improving flexibility in responding to ambiguous inquiries ■ Organizing FAQ data and continuous learning ■ Ensuring quality in emotion analysis and complaint handling *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of a "Marketing Optimization System" at our company. During the development, we faced challenges such as the elimination of data silos and the design of a unified customer ID. In response to these challenges, we implemented a Customer Data Platform (CDP) and a stream analysis infrastructure (Kafka + Spark), and built AI-driven scoring and automatic optimization logic. 【Technical Challenges】 - Elimination of data silos and design of a unified customer ID - Ensuring scalability of the real-time analysis infrastructure - Designing automatic evaluation to accelerate the PDCA cycle *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of the development of a "serverless microservices infrastructure" at our company. During the development, we faced challenges such as the complexity of communication control between microservices (API Gateway, authentication) and the need to address these complexities. In response, we ensured visibility by implementing serverless services like Lambda and Fargate, as well as introducing distributed tracing and an integrated logging infrastructure. [Technical Challenges] - Addressing the complexity of communication control between microservices (API Gateway, authentication) - Increased difficulty in asynchronous processing and event-driven design - Lack of visibility in debugging and monitoring, leading to operational burdens *For more details, please download the PDF or feel free to contact us.