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EasyPA, Inc.

St. Petersburg, United States (US) · Information Technology

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Data quality

Complete · Accuracy

Last verified

May 2026

EasyPA, Inc. is a Information Technology company based in St. Petersburg, United States (US), with 2-10 employees. EasyPA, Inc.'s profile is verified on Enterprise League.

Overview

EasyPA, Inc is a St. Petersburg, Florida-based provider of AI-powered prior authorization solutions for healthcare. We help hospitals and clinics streamline their revenue cycle management and improve patient access to care by automating the complex process of obtaining prior authorizations.

Our platform leverages cutting-edge artificial intelligence, including OCR and LLMs, to identify prior authorization requirements, assemble necessary documentation, and submit requests through payer portals and clearinghouses like Availity.

EasyPA is HIPAA-compliant and designed for seamless integration with existing EMR systems, such as Epic and Cerner, ensuring a smooth transition and maximizing efficiency. We are CMS 2026 Ready, ensuring compliance with evolving regulations.

With EasyPA, healthcare providers can reduce administrative burden, accelerate approvals, and ultimately, get paid sooner. We are transforming the prior authorization landscape with intelligent automation.
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Contact Details

info@easypa.ai

St. Petersburg, United States (US)

Company Type

Private Limited Company

Employees

2-10

Categories

Web Development
Developer Tools
Software

Awards

2026 OpenSee all

Products

Default Product Image
EasyPA Prior Authorization Platform
Software

An AI-powered platform that automates the entire prior authorization workflow, from identification to submission and appeal management. It integrates with leading EHR systems and payer portals, streamlining the process for healthcare providers.

N/A


Services

Default Product Image
AI-Powered Appeal Letter Generation
Software

Our platform automatically generates physician-quality appeal letters for denied claims, reducing the time and effort required for billing teams.

N/A

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