Joy Liu
Founder & CEO
Plenful
Plenful is a no-code workflow automation platform that utilizes machine learning to optimize healthcare's manual administrative processes, including document processing and revenue cycle management. By automating over 95% of these workflows, Plenful helps healthcare teams recover lost revenue and improve operational efficiency.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Enterprise Software
- Software Only
Updated 2 days ago
Funding
Raised to date
$50MRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Healthcare organizations face significant administrative burdens in managing complex workflows such as document processing, revenue cycle management, and regulatory compliance. These manual processes are often inefficient, error-prone, and lead to lost revenue opportunities. The need to integrate data from various sources and systems further compounds these challenges.
Solution
Plenful offers a no-code, AI-powered workflow automation platform designed to streamline and optimize administrative tasks for healthcare teams. The platform connects to existing data sources, including PDFs, flat files, APIs, HL7, and databases, to automate over 95% of manual processes. By leveraging machine learning tailored to specific data and processes, Plenful identifies optimization opportunities and helps recover lost revenue. The platform eliminates the need for manual data entry and empowers teams to focus on critical tasks, improving operational efficiency and financial performance.
Target Audience
Plenful primarily serves health systems, pharmacies (including specialty, infusion, and retail), and provider groups seeking to streamline administrative workflows and improve revenue capture.
Features
- No-code workflow design for easy customization and deployment
- Integration with various data formats, including PDFs, flat files, APIs, HL7, and databases
- AI-powered automation of document processing, revenue cycle management, and other administrative tasks
- Machine learning models tailored to specific healthcare data and processes
- Automated identification of missed savings and referral opportunities in 340B programs
- Contracted rates optimization and inventory planning to prevent wastage
- Pharmacy claims auditing and Part D risk adjustment
- Unlimited rules and crosswalks for data processing and validation