Six months after growing $ 29 million, Health Nabs, $ 52.5 million to facilitate medical shipment

Now 1000 insurance Companies in the United States are a complex problem for doctors and hospitals to understand how each company will be paid.

Each insurance can also require some different information about medical claims for the same procedure. Invalid documentaries can be rejected by manual re-dispatch and rejection of delayed payments.

According to Nick Perry, co-founder and CEO Sincere healthMost medical claims rejected rejection answers, the inheritance shipping system providers fighting to continue the pace with the growing complexity of modern health.

Five years later, Perry was established in Perry in 2019 to facilitate medical dispatch for Perry, medical calculation, claims to present handicrafts for presentations and calculation groups.

Since then, the company has also attracted the number of teleag providers, including the company Those whoTo feed and TalkaticalAnd recently began to add large medical groups as customers. In 2024, the revenues of the infirmity increased by about 250%.

Investors noticed the company’s rapid growth rate. On Wednesday, the house said that the 52.5 million dollars C dollar C CIDENT led by OAK HC / FT and existing investors. The first round of round, the first round of the returns, the 29-million dollar of $ 29 million in the 29-million dollar series with the participation of the BoxGroup and Y combinator.

Perry founded the company by drawing a painting experience, which witnessed information analysts. Medical calculation is the problem of information engineering, he said to TechCrunch.

“Problems with Legacy Systems flags, send back to providers to correct the claim,” said Perry. However, sincere health, the advanced rules that allow insurance companies to provide accurate claims to insurance companies in the first attempt to travies have developed the engine and are constantly cleaned.

So far, no sincere AI, but the latest financing will go to implement the latest machine learning techniques. For example, the AI ​​can determine the types of claims consistently rejected by insurers, which allows you to correct these claims before the candidacy system is presented.

The company can eventually build an EU-wicked feature that can call insurance companies. However, the company’s end goal is to prevent these calls.

“It didn’t have to be a denial phone call,” Perry said. “The first time is better to present the claim correctly.”

In addition to competition with inherited shipping systems built by electronic health record companies, PointO and Adonis beginners and Adonis are competing with Adonis, supported by Point72 enterprises and a common catalyst.