Vedic, The provider of artificial intelligence-driven platforms, $45 million raised In the B round of financing led by Oak HC/FT.
The Madison, Wisconsin-based company’s platform automates complex data processes for healthcare payers. Using artificial intelligence and machine learning, the platform digests and transforms supplier roster data through formatting and verification. Then load the data directly into the claims system.
Meghan Gaffney, the founder and CEO of veda, said in an email: “We are transferring funds from expensive administrative processes in healthcare to places in the system where people can stay healthy.” “Automation allows for the reallocation of resources and helps health plans to shift more funds to things that are important to people.”
The company’s platform can also help payers comply with the regulatory requirements of the No Accident Law.law Limit unexpected billingThis is usually unexpected when patients are charged for out-of-network care. The law requires payers to process all provider catalog updates within 48 hours from January 1, 2022, and the veda platform can help.
The company plans to use the newly raised funds for product innovation and the development of its customer service and listing teams.
“We think we are really just getting involved in problems that our technology can solve,” Gaffney said. “Our platform provides efficiencies for a range of healthcare companies, and we need funding to help create these additional efficiencies and get involved in other health categories.”
Since the A round of financing in January 2020, veda has raised $53 million.
Andrew Adams, managing partner and co-founder of Oak HC/FT, a venture growth equity fund, said: “Veda’s technology will fundamentally change the way the healthcare system works by automating processes, improving accuracy, and reducing costs.” . Adams will join veda’s board of directors.
Veda’s products are not new in the industry, companies like this Partner and Apian Provide similar solutions. But it differentiates itself by providing a platform that does not require skilled IT resources, Gaffney said.
“Our tools are universal, so users don’t need technical skills or training-they provide information to the system, but it does not rely on data science or automated logic entered by the user,” she said.
Image: Feodora Chiosea, Getty Images
