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WieldyAi

Wieldy provides AI-powered technology to streamline revenue cycle management for dental and orthodontic practices. The platform automates insurance posting, denial management, and EFT reconciliation, significantly reducing administrative workload. This automation increases collections, improves cash flow, and allows staff to focus more on patient care.

San Francisco, United StatesFounded 2022101K+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Orthodontic practices often face challenges in managing their revenue cycle due to manual processes involved in insurance posting, denial management, and electronic funds transfer (EFT) payment reconciliation. These manual tasks are time-consuming, leading to delayed collections, increased accounts receivable aging, and reduced focus on patient care.

Solution

Wieldy offers an AI-powered revenue cycle management (RCM) solution designed to automate and streamline financial operations for orthodontic practices. The platform automates insurance posting, denial management, and EFT payment reconciliation, significantly reducing administrative workloads. By identifying and addressing denials in real-time and avoiding timely filing limits, Wieldy helps practices capture more revenue and improve cash flow. This automation frees up staff time, allowing them to concentrate on patient care and improve overall satisfaction.

Target Audience

Wieldy primarily targets orthodontic practices seeking to optimize their revenue cycle management, reduce administrative burdens, and improve cash flow.

Features

  • AI-powered automation of insurance posting, denial management, and EFT payment reconciliation
  • Real-time denial tracking and identification
  • Automated alerts for timely filing limits
  • Reduction in accounts receivable aging
  • Streamlined claims management process
  • Integration with existing practice management systems
This profile is AI-generated and may contain inaccuracies.