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Aegis is the all-in-one platform that helps healthcare providers recover lost revenue by automating insurance denial appeals—from intake to resolution. Built for billing teams, healthcare providers and hospitals.
Passionate about leveraging AI in healthcare and finance. Currently developing an automated claim-denial appeal generation platform for healthcare providers. Studied economics and computational finance at Carnegie Mellon University prior to building Aegis
Graduated CS/AI at Carnegie Mellon. Building AI Agents to win denied insurance claims. Previously Co-authored AI research, built an enterprise AI platform for Parsons Corporation, a $7B+ public company, and worked at Palantir.
Building AI to fight healthcare insurance denials.
Founded 2025 · Source
Krishang and Aarav have been roommates for two years and close friends since day one of college, and all 3 of us have been closest friends since freshman year. The idea for Aegis came when Aarav’s anesthesia claim was denied. He spent weeks trying to appeal it—time and energy that should’ve gone toward recovery, not bureaucracy. That’s when we realized how broken the system was. We started building Aegis in February to fix it.
Source-based assessment · automated evidence rules
The retained text does not establish product availability or customer use.
Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.
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