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To accelerate patients’ ability to access the care they need, reduce financial loss in the healthcare system, and create efficiencies that drive healthcare innovation.
1% employee growth in 12 months
Since the No Surprises Act went into effect in January 2022, efficient healthcare data processing and sharing is more essential than ever. However, data is often manually inputted from spreadsheets into various platforms and technology systems, leaving a higher margin for errors and costing up to $1 trillion in annual administrative costs.
Veda Data automates these complex data processes, using purpose-built AI and machine learning tools, effectively cutting down superfluous administrative costs and wasted time across the healthcare industry.
Despite going up against providers such as IBM, UnitedHealth Group/Optum, and Cerner, Veda has established itself as one of the top market providers, supporting some of the country’s largest health insurance companies.
The company is aiming to achieve 1 billion hours of automation by 2025, and its Oak HC/FT-led funding has allowed it to expand its go-to-market capabilities and customer service teams. Veda has taken significant steps of growth as it works to streamline healthcare administration processes.
Steph
Company Specialist at Welcome to the Jungle
Jul 2021
$45m
SERIES B
Jan 2020
$5m
SERIES A
Meghan Gaffney
(CEO)Has worked for numerous political fundraising firms, most notably MGB Development (Principal), The Dover Group (Director of Political Operations), and Holden for Governor. Was the Finance Director for both the Nevada State Democratic Party, Democratic Congressional Campaign Commits (West Region), Hackett for Congress, and Nancy Farmer for US Senate (Deputy).
Dr. Bob Linder
(Chief Science and Technology Officer)Worked as a Senior Data Scientist at Earthling Interactive. Received their PhD in Physics at Rutgers University, where they also worked as a Graduate Research Assistant. Received their BS in Mathematics & Physics from the University of Wisconsin-Madison, where they worked as a Research Assistant, and did their Postdoc Research in Astrophysics and Machine Learning.