Generative AI Service System
Generative AI Virtual Human Services
- Hallucination-free interactive service: Controllable AI responses to avoid trust crises caused by incorrect information.
- Comprehensive integration of various scenarios: AI customer service, AI health education, AI registration, AI health check and other medical services are available all in one place.
- AI MR/XR Integration: 3D Models, Virtual Characters, and Spatial Computation Create an Immersive Experience
- Enterprise-grade security architecture: Azure OpenAI zero-trust login verification, ensuring data is not leaked or used in model training.
- Rapid Deployment and Implementation: Through the EAAP platform, enterprises can create various AI Agents themselves without the need for massive hardware infrastructure.
Product Introduction
AI-KM: The foundation of all AI services, extending various services from the brain.
Just like the human brain, all AI applications start with a core knowledge base.
AI-KM is the foundational brain of intelligent medical services. Through three core technologies—voice module, logical derivation architecture (LDPAE), and AI-Avatar command function module—AI-KM extends to medical application scenarios such as AI customer service, AI health education, AI registration, AI health check, and AI psychological testing. Furthermore, it can be combined with AI-MR/XR systems to create a virtual-real interactive medical service environment.
Unlike typical generative AI, which is prone to "hallucinations" and giving incorrect information, the hallucination-free interactive script-based service allows AI to memorize a script and match pre-set emotional responses, making the originally difficult-to-control AI answers controllable and reliable, truly achieving "controllable AI is responsible AI".
Listen to needs and create intelligent services specifically for medical settings.
We are a Microsoft technology partner, specializing in the development of AI service solutions and MR systems. We have long been involved in AI interaction, AI-AIoT, AI-KM, AI customer service, AR/VR/MR smart glasses development and system integration.
In the process of implementing generative AI in medical institutions, issues such as hallucinations, copyright ownership, and cybersecurity concerns are often key obstacles to successful implementation. Failure to effectively control the accuracy and scope of AI responses can lead to customer complaints, legal risks, and a crisis of brand trust.
Through the AI-Agent intelligent system, medical institutions can integrate customer service, health education, registration, health check-up and other services into the same AI brain. With limited answers, a dedicated FAQ database and RAG technology, the probability of hallucinations is greatly reduced, making AI a truly reliable medical service partner.
The application of combining AI and MR can be applied to medical scenarios such as medical teaching, preoperative simulation, health education interaction and clinical training, helping customers create virtual and real interactive fields that closely meet real needs, and providing complete import services from needs interviews, system planning, model building to education and training.
Frequently Asked Questions
- Which industries are suitable for using this system?
It is suitable for medical institutions, long-term care facilities and related medical care fields, including AI registration, AI customer service, AI health education, AI health check, MR medical teaching and other applications, and can be customized according to needs.
- Will AI give hallucinations or answer questions incorrectly?
It employs a limited, hallucinogenic, and controllable AI response mechanism, and is trained on a database and FAQs specific to medical institutions.
- Will company data be leaked or used to train other models?
The system adopts the Azure OpenAI enterprise-grade architecture, supports P2P enterprise dedicated lines, dedicated private clouds, and VNet security mechanisms, and complies with international compliance standards such as HIPAA, GDPR, and SOC2. The question-and-answer data between users and the GPT model will not be used to optimize the model itself, nor will it be provided to other enterprises.
