AI
Pioneering the wave of AI, we are committed to providing our clients with reliable AI applications, collaboratively addressing challenges and opportunities.
Data & Analytics
We provide data processing, analytics, and visualization services to assist businesses in leveraging data to strengthen their business decision-making.
Cloud
Providing reliable, robust, and customized cloud services, empowering clients to stay ahead and achieve excellence in the digital era.
Our NLP solutions assist businesses in understanding and processing natural language data, including text analysis, sentiment analysis, language translation, and speech recognition. This helps improve client service, document processing, and intelligent search.
We provide machine learning models and predictive analytics to help businesses discover potential patterns, forecast trends, and make informed decisions. This is applicable to areas such as sales forecasting, inventory optimization, and client behavior prediction.
We assist clients in detecting and segmenting organ lesions through the development of deep learning models (DNN) and algorithms, significantly enhancing the efficiency and accuracy of interpreting images related to organ lesions such as liver, pancreas, lung lesions, Alzheimer's disease, and brain lesions in infants.
Developing intelligent robots and enterprise smart assistants for scenarios such as client service, knowledge management, task automation, and virtual sales. This helps improve client interaction experiences and enhance operational efficiency.
Utilizing technologies like LLM, GLM, GAN, we help businesses create AI solutions applicable to various business units, optimizing enterprise functions for faster innovation, increased productivity, and reduced costs.
We rapidly respond to client needs and process large volumes of data in various formats, including text, speech, audio, video, and images. Our services cover the preparation of human resources and environmental equipment, process adjustments and optimizations, data processing, and progress management, aiming to improve yield and control quality. Data processing is a crucial step and key to success in AI product development. Massive data, after classification, filtering, labeling, and other processing, becomes meaningful intelligent data, providing reliable and high-quality training data needed for deep machine learning in the AI product development process, effectively enhancing the product's judgment and prediction capabilities.
Data science consulting services cover real-world data (RWD) analysis in digital health, real-world evidence (RWE), and related applications of digital transformation. The service team includes data scientists, data engineers, and data visualization engineers. The data science team not only assists clients in processing, exploring, and analyzing data but also uses machine learning algorithms to gain deeper insights, predict outcomes, and formulate optimal action plans. Starting from business requirements, they help clients identify goals, interpret and analyze results, and provide business recommendations.
We are committed to providing clients with comprehensive business intelligence solutions, transforming data insights into business value through data processing and data science consulting services. Through real-time data analysis and visualization tools, we assist clients in understanding market trends, optimizing processes, and enhancing performance and competitiveness.
Providing a one-stop cloud-native application development environment, aiming to rapidly achieve cloud-native application innovation and support enterprise digital transformation. By integrating cloud-native technologies, clients can respond to business needs more agilely and flexibly.
Integrating public cloud, private cloud, and on-premises information systems to create a flexible and scalable cloud environment.
Offering security assessments, access control, and data encryption to ensure the security of client data in the cloud environment.
Establishing backup and restoration mechanisms to maintain the integrity of enterprise data, ensuring long-term operation and sustainability.
Monitoring infrastructure performance and availability, managing and maintaining the optimal cloud operating environment for clients.