Arkangel AI is a no-code platform that transforms medical data into AI algorithms for early disease detection, enabling healthcare organizations to build and deploy tailored solutions efficiently. By streamlining processes such as patient triage and drug adverse effect prediction, Arkangel AI enhances healthcare outcomes while significantly reducing operational costs.
Funding
$150K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Healthcare organizations face challenges in efficiently building and deploying AI algorithms for early disease detection and other critical applications. Traditional AI development requires specialized expertise, is time-consuming, and can be costly, hindering the widespread adoption of AI in healthcare.
Solution
Arkangel AI offers a no-code platform that empowers healthcare organizations to transform medical data into AI algorithms without requiring extensive technical expertise. The platform streamlines the AI development lifecycle, enabling users to build, deploy, and scale tailored AI solutions for various use cases, including early disease detection, patient triage, drug adverse effect prediction, and optimizing prior authorization processes. By automating key steps in the AI development process, Arkangel AI accelerates the time to deployment and reduces operational costs associated with AI implementation in healthcare settings. The platform's intuitive interface and pre-built components allow healthcare professionals to leverage the power of AI to improve patient outcomes and optimize healthcare operations.
Target Audience
The primary target audience includes healthcare organizations, hospitals, clinics, and research institutions seeking to leverage AI for improved patient care, operational efficiency, and cost reduction.
Features
- No-code AI model building environment for healthcare applications
- Pre-built AI models and algorithms for common healthcare use cases
- Automated data preprocessing and feature engineering
- Streamlined deployment and scaling of AI models
- Support for various medical data types, including imaging, clinical notes, and sensor data
- Real-time AI solutions for interactive analysis
- Integration with existing healthcare systems and workflows