Medical billing is a complex process involving numerous steps to ensure healthcare providers get paid by insurance companies, and submitting claims correctly is particularly challenging.

The healthcare system is burdened by an overwhelming number of service codes, making it difficult for providers to navigate and leading to inefficiencies in patient care.

A co-founder of an AI billing company gained insights into medical billing by working undercover in the field, allowing him to understand the intricacies of the industry and identify automation opportunities.

We believe that by improving the claims submission process, we can enhance patient experiences and address the significant costs associated with medical billing.

AI systems struggle to accurately verify information, which can lead to significant issues in critical fields like medicine, where incorrect diagnoses can have serious consequences.

The healthcare industry faces challenges in increasing productivity due to low margins and strict privacy regulations, making it difficult to implement new technologies.

Healthcare's inefficiencies stem from a complex mix of factors, including local monopolies and misaligned incentives that do not prioritize patient outcomes.

Healthcare providers often don't see patients as their end customers because patients typically aren't paying directly for their care, which negatively impacts the consumer experience.

The healthcare industry is opaque, and many CEOs are unaware of how their healthcare dollars are being spent, leading to inefficiencies and overcharging.