Infinitus utilizes AI agents to automate phone-based workflows for healthcare providers, specifically handling tasks such as benefit verification, prior authorizations, and prescription follow-ups. This technology reduces the need for human intervention in insurance calls, allowing healthcare staff to focus more on patient engagement and improving operational efficiency by freeing up significant time and resources.
Funding
$102.5M 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 providers spend significant time on administrative tasks, such as verifying patient benefits, obtaining prior authorizations, and following up on prescriptions, which detracts from patient care and contributes to operational inefficiencies. These processes often involve lengthy phone calls with payers, consuming valuable staff resources.
Solution
Infinitus offers AI-powered agents and copilots designed to automate phone-based workflows between healthcare providers and payers. These AI agents handle tasks like benefit verification, prior authorizations, and prescription follow-ups, reducing the need for human intervention. By automating these time-consuming processes, Infinitus frees up healthcare staff to focus on patient engagement and other critical tasks, improving operational efficiency and patient access to care. The platform aims to deliver better data quality, lower costs, and infinite scalability compared to traditional manual processes.
Target Audience
Infinitus primarily targets healthcare providers, including ambulatory surgery centers, health systems, labs and diagnostics providers, pharmaceutical companies, and specialty pharmacies, seeking to automate administrative tasks and improve operational efficiency.
Features
- AI agents capable of conducting phone calls with payers to gather necessary information.
- Automation of benefit verification, prior authorization, and prescription follow-up processes.
- Natural language processing (NLP) to convert conversations into structured data that seamlessly integrates into existing systems.
- Data quality exceeding human performance, with up to 10% higher accuracy across 150+ data points.
- Rapid implementation, with typical deployment times of less than 30 days.
- Integrations with ambulatory surgery centers, health systems, labs and diagnostics providers, pharmaceutical patient support programs, specialty pharmacies, and payers.