Sold by: Yobitel
Deployed on AWS
Mediquery is a production ready healthcare AI platform that combines LLMs, Agentic AI, OCR, and RAG-based retrieval to enable intelligent interaction with patient records and medical documents through conversational AI. Designed for hospitals, clinical researchers, and healthcare , the platform delivers secure, context-aware clinical insights with high-performance GPU-accelerated inference and scalable deployment architecture.
Overview
Mediquery is a production-ready healthcare AI platform designed for hospitals, clinical researchers, and medical IT teams to enable intelligent interaction with patient records, clinical reports, and medical documents through AI-powered conversational workflows.
The platform combines Large Language Models (LLMs), Agentic AI workflows, intelligent retrieval systems, and OCR-powered document processing to provide accurate, context-aware responses grounded in real healthcare data. Users can ask clinical questions in conversational English, retrieve patient information, summarize medical reports, and analyze healthcare documents without navigating complex systems or databases.
Key Features
- AI-Powered Clinical Querying: Ask healthcare-related questions in conversational English and receive accurate, context-aware responses grounded in patient records and medical documents.
- Intelligent Medical Search & Retrieval: Retrieve and analyze patient information, prescriptions, clinical reports, and healthcare documents from a centralized conversational interface.
- OCR-Based Document Processing: Process scanned healthcare documents, PDFs, reports, and medical images using AI-powered OCR workflows optimized for English-language interactions.
- Agentic AI Workflow Orchestration: Specialized AI agents coordinate document analysis, retrieval, summarization, reasoning, and healthcare workflow automation.
- MCP-Enabled Tool Integration & Federated Data Access: Supports MCP-enabled orchestration and federated healthcare data access across databases, uploaded documents, connected systems, and vectorized knowledge sources.
- Image & Audio Conversation Support: Supports image-based interactions, document understanding, and high-quality audio conversations for enhanced healthcare workflows and accessibility.
- Secure Healthcare Data Handling: Designed to support secure handling of PHI with encrypted data storage, controlled access management, and enterprise-grade healthcare security practices.
- Role-Based Access Control: Supports SUPER_ADMIN, ADMIN, DOCTOR, STAFF, and READ_ONLY roles with secure authentication, controlled permissions, and audit visibility.
- Monitoring & Operational Visibility: Includes integrated dashboards, logging, monitoring, and alerting capabilities for infrastructure and application health tracking.
- Scalable Production Deployment: Built for scalable healthcare environments with containerized architecture designed for hospitals, research organizations, and enterprise healthcare workloads.
- CPU and GPU Deployment Support: Supports both CPU and GPU deployment environments, enabling lightweight inference workloads as well as high-performance healthcare AI operations.
Mediquery simplifies healthcare data access by combining document intelligence, semantic search, AI reasoning, and federated healthcare data connectivity into a unified platform. The solution includes integrated AI pipelines, containerized deployment architecture, monitoring capabilities, and secure access management to support scalable and enterprise-ready healthcare operations.
The platform is designed to support both CPU and GPU-based deployment environments. CPU deployments provide functional AI inference for lightweight workloads, while GPU-enabled deployments deliver faster response times and improved performance for large-scale healthcare operations.
Highlights
- Production ready healthcare AI platform that enables organizations to securely import, process, and intelligently query patient records and medical documents through conversational AI workflows while following healthcare data protection and secure data handling practices.
- Integrated Agentic AI workflows, MCP-enabled tool orchestration, federated data access layers, and OCR-powered document processing deliver fast, accurate, and context-aware healthcare insights while supporting secure and scalable healthcare operations.
- Containerized, scalable architecture with secure data handling ensures reliable performance for hospitals, research teams, and enterprise healthcare environments.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
g4dn.xlarge Recommended | $0.20 |
m5.4xlarge | $0.09 |
t3.xlarge | $0.09 |
g5.2xlarge | $0.20 |
m5.large | $0.09 |
g6.2xlarge | $0.20 |
g5.4xlarge | $0.20 |
g6.4xlarge | $0.20 |
c5.2xlarge | $0.09 |
c5.4xlarge | $0.09 |
Dimensions summary
You pay by the hour based on the EC2 instance type you run this healthcare AI application on. There is no upfront commitment; charges are metered through your AWS account. The 22 options fall into families that scale by size. General-purpose (m5, t3) and compute-optimized (c5) instances suit CPU workloads. GPU instances (g4dn, g5, g6) support AI inference, with hourly rates rising as you move from xlarge up to larger sizes like 4xlarge and 12xlarge. Choose the instance that matches your compute needs; larger instances cost more per hour.
Top-of-mind questions for buyers
Each hourly rate covers running the healthcare AI software on that instance type. You pay only while the instance runs. Underlying AWS charges like storage and data transfer bill separately through your AWS account. GPU instances (g4dn, g5, g6) support AI inference workloads.
Software charges meter running time only. A fully stopped instance does not accrue the hourly software fee. Stopped instances may still incur AWS storage fees for attached volumes, but those bill separately from the software metering.
General-purpose (m5, t3) and compute-optimized (c5) instances suit CPU-based tasks. GPU instances (g4dn, g5, g6) accelerate AI inference for clinical decision support and imaging analysis. Each type bills per hour, so match the instance to your workload to control cost.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
We proudly introduce Mediquery, a production-ready healthcare AI platform built for hospitals, clinical researchers, and healthcare organizations. This release delivers intelligent medical document retrieval, conversational AI interactions, OCR powered document understanding, Agentic AI workflows, and federated healthcare data access in a unified platform. Mediquery is designed to simplify healthcare data exploration, accelerate clinical workflows, and enable secure, scalable AI-powered healthcare operations with integrated deployment automation, monitoring, and enterprise-ready architecture.
Additional details
Usage instructions
Follow the steps to get started :
- While the instance is in running state copy the public IP.
- Use that publicip as https://publicIP:3000 in the browser, Login page opens.
- Wait for few minutes reload the page frequently.
- Login page opens Register your Account there using Register option .
- Now again Come to the login page and login with the username and password you created .
- Now the mediquery application will open .
Support
Vendor support
We, Yobitel - Cloud-Native Application Stack and Cloud Consulting Services company, offer Free Training, Post Migration & Go-Live support, and Enhanced care support to ensure a smooth transition. Our team of experts is well-versed in AWS Managed Cloud Services and provides businesses with the necessary guidance and support to ensure a successful transition to the cloud. Learning Resources: Yobitel - Cloud Native Service Provider Resource URL:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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