言語切り替え
At Kadinche, we are developing systems using AI, including API collaboration with various AI services and RAG (Retrieval-Augmented Generation). By combining AI technologies that are optimal for each application, such as natural language processing, speech recognition, image analysis, data retrieval, machine learning, and deep learning, we can improve work efficiency and service quality.
Until now, we have provided highly personalized AI solutions for multiple industries, including chatbot web systems for public institutions. Because we have an extensive track record of cooperation with XR and 3D technology, it is possible to build flexible systems with an emphasis on user experience.
If you are considering introducing an AI collaboration system that is optimal for your industry or application, please contact us.
What is RAG (Retrieval-Augmented Generation)?
RAG is a technology that generates answers by incorporating not only knowledge learned in advance by AI, but also necessary data from external databases and information sources in real time. Conventional AI mainly responds based on learning data, but RAG enables more accurate and reliable responses, including the latest information and specific expertise.
It is possible to develop AI natural language and develop interactive AI chatbots.
It is also possible to respond immediately to user questions and obtain necessary information in real time from external databases and the Internet.
Also, it is possible to develop a function that allows unique responses by incorporating RAG.
AI avatars learn the facial expressions and voices of representatives, etc., and operate in real time.
It reflects the movements and facial expressions of customer service personnel, and can also be used for remote customer support and training. Closer human interaction is possible, and the quality of the customer experience is improved.
We have a track record of developing image processing and image analysis AI that is compatible with a wide range of things from edge devices to cloud collaboration, and can handle hardware control (raspberry pi), AI model construction (classification/judgment), and front-end (UI/UX) with a full stack. We can provide technology in the following fields.
We have built a system that performs object detection and anomaly detection in real time by linking with edge devices and CMS such as Raspberry Pi. It can be introduced for facility management and crime prevention applications, such as detecting people and vehicles, and visualizing congestion levels.
Utilize unique learning data to construct an image classification and status determination model specific to the industry. It can also be applied to quality inspection in the manufacturing industry, product identification in the retail/logistics field, and disease detection in the agricultural field.
We have developed a web UI and management dashboard that can intuitively grasp analysis results. The “visualization” of image analysis AI enables operations that are easy for site personnel to use.
By combining AI with 3D simulator development using Unity and Unreal Engine, it is possible to build a digital twin virtual environment that is more intelligent and in line with reality.
It has the following technical characteristics and can be applied in various fields such as research and development, business training, and city planning.
It is possible to implement simulations where AI agents autonomously determine and move crowd behavior, traffic flow, evacuation routes, worker flow lines, etc. Using pre-trained models and reinforcement learning, behavioral predictions and pattern analysis close to reality can be performed.
An “AI with vision” configuration is also possible where AI analyzes images from the camera's point of view and feeds back to the situation within the simulation. For example, AI judgment that reproduces the robot's field of view and anomaly detection using images will be possible.
AI controls and changes environmental factors such as weather, lighting, crowd density, and machine failure, and can generate multiple scenarios in real time. We can flexibly respond to scenarios including unexpected situations, such as BCP drills, disaster countermeasures, infrastructure maintenance, etc.
We have developed a chatbot web system for public institutions, and it is being used in actual fields.
We will propose optimal solutions to meet customer needs.
Please feel free to contact us.
