VEDA Data Solutions Competitors, Revenue, Alternatives and Pricing

Claim your profile


Madison, WI USA
Total Funding:$7.2M
Lead Investor(s):N/A

Industry Ranking

State Ranking

Growjo 10k Ranking

Estimated Revenue & Financials

  • VEDA Data Solutions's estimated annual revenue is currently $5.9M per year.(?)
  • VEDA Data Solutions's estimated revenue per employee is $145,000
  • VEDA Data Solutions's total funding is $7.2M.

Employee Data

  • VEDA Data Solutions has 41 Employees.(?)
  • VEDA Data Solutions grew their employee count by 95% last year.
  • VEDA Data Solutions currently has 1 job openings.

Your data powered by VEDA.\n\nWhat happens when a political entrepreneur and astronomer share the same vision? Innovation.\n\nAt VEDA Data Solutions, we’re on a mission to accelerate patients’ ability to access the care they need, reduce financial loss in the healthcare system, and create efficiencies that drive healthcare innovation. Our founders are motivated by a belief that the tools to make a better world are being developed right now by talented scientists around the globe, and we can harness those tools to solve the problems impacting people every day.\n\nWe empower young and talented researchers to focus their efforts on creating products that lead to better health outcomes and access to care for patients, while encouraging their natural desire to experiment and discover.\n\nVEDA was founded by an astronomer and a political entrepreneur, Dr. Bob Lindner and Meghan Gaffney Buck. Bob’s research looked to the stars, using machine learning to uncover how galaxies were formed. Meghan’s career was focused closer to Earth, bringing together constellations of political and community leaders to solve problems in healthcare, energy, and the environment.\n\nVEDA remains rooted in our founders’ shared passion for connecting innovation and practical problem solving. Today, over 15 million people rely on VEDA data tools to power the healthcare industry.

keywords:Healthcare, Health Care Information Technology, Big Data, Predictive Analytics