Aegis (https://aegishealth.us/) is an all-in-one platform that enables healthcare providers to recover lost revenue by automating the insurance denial appeals process from start to finish. Designed for billing teams, healthcare providers, and hospitals, Aegis streamlines the workflow of appealing denied insurance claims, reducing manual effort and helping organizations recoup revenue that might otherwise be lost.
How Does Aegis Work?
Aegis automates each step of the insurance denial appeals process:
- Denial detection: Identifies denied claims automatically.
- Compliant appeal generation: Creates compliant appeal documents tailored to payer requirements.
- Submission and tracking: Streamlines electronic submission of appeals and monitors their status.
- Actionable analytics: Provides insights to help billing teams optimize processes and improve future recovery rates.
The platform is built to integrate with electronic health records (EHRs), clearinghouses, and payer portals, allowing seamless data flow and reducing manual data entry. By automating what has typically been a time-consuming, error-prone task, Aegis helps providers and medical billing firms save staff time and recover more lost revenue.
Who Uses Aegis?
Aegis serves healthcare providers of all sizes, including hospitals, clinics, and specialized medical billing firms. The platform is targeted specifically at organizations facing challenges with high volumes of insurance denials and complex appeals processes.
What Makes Aegis Different?
Aegis differentiates itself by offering true end-to-end automation for insurance appeals, from denial detection to resolution. Its integration capabilities with EHRs and payer portals allow providers to work within their existing systems, while actionable analytics help teams identify trends and continuously improve their revenue cycle management.
Who Founded Aegis?
Aegis was founded by three close friends from Carnegie Mellon University:
- Aarav Bajaj: Co-Founder, background in Computer Science and Machine Learning, previously at Palantir and AI Research at CMU.
- Krishang Todi: Co-Founder, background in Economics and Mathematics, with experience in fixed-income risk modeling at a leading Indian fund.
- Dhanya Shah: Co-Founder, background in Information Systems and Computer Science, and a seasoned full-stack engineer.
Their combined expertise in engineering, analytics, and financial modeling informs Aegis’s focus on technical automation and process optimization for healthcare revenue recovery.
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