MakeData.ai generates realistic, privacy-safe synthetic healthcare data using AI technology, enabling developers, researchers, and healthcare organizations to create high-quality test cases and mockups without using real patient information. This solution addresses the challenges of accessing complete and compliant real-world data, allowing users to efficiently demo and build applications with confidence.
Funding
Funding not disclosed
Founders
Product
Problem
Accessing complete, compliant, and realistic healthcare data for development, testing, and demonstration purposes is challenging due to privacy regulations and the difficulty of obtaining real-world patient information. Outdated, incomplete, or inaccessible real-world data hinders the ability of product teams to effectively build and scale healthcare applications.
Solution
MakeData.ai provides an AI-powered platform for generating privacy-safe, high-quality synthetic healthcare data that mimics real-world patient encounters. This synthetic data enables developers, QA teams, and sales teams to create production-quality tests, mockups, and demos without the risks associated with using real patient data. The platform allows users to generate cohesive healthcare data relevant to specific patient conditions and use cases, offering outputs in standard and custom formats. By using synthetic data, organizations can accelerate development cycles, improve data quality, and ensure compliance with privacy regulations.
Target Audience
The primary target audience includes product teams, quality assurance teams, demo creators, sales teams, solutions architects, researchers, and healthcare organizations that require realistic and privacy-safe healthcare data for development, testing, and demonstration purposes.
Features
- AI-driven generation of realistic and coherent synthetic healthcare data
- Customizable data generation to align with specific use cases and patient conditions
- Support for standard and custom data formats
- Privacy-safe data that does not contain real patient information
- Free public health dataset with 100+ synthetic eICR documents formatted as valid eCR IG HL7 FHIR® R4