Web Analytics

3 Latest Announced Rounds

  • $3,500,000
    Seed

    1 Investors

    Technology, Information and Internet
    Dec 20th, 2024
  • $5,619,170
    Series B

    1 Investors

    Research Services
    Dec 20th, 2024
  • $8,000,000
    Unknown

    5 Investors

    Computer & Network Security
    Dec 20th, 2024
$671.88M Raised in 44 Funding Rounds in the past 7 Days - View All

Funding Round Profile

basys.ai

start up
United States - Cambridge, MA
  • 11/08/2023
  • Pre-Seed
  • $2,400,000

Enabling health plans and care providers by optimizing their financial performance.

Check us out on Forbes here:
https://www.forbes.com/sites/frederickdaso/2022/09/05/two-harvard-students-revolutionize-diabetes-treatment-on-a-regular-basys/


Related People

Amber NigamFounder

Amber Nigam United States - Greater Boston

I am the co-founder and CEO of a digital health startup, basys.ai, with more than a decade of experience in healthcare and Artificial Intelligence. I lead sales and fundraising for the startup. At basys, we help payers and care providers reduce costs by designing better workflows. More specifically, we help improve prior-auth and utilization management through our proprietary disease-tracking platform.

I graduated from Harvard University with an MS degree in the Health Data Science program and I have a bachelor's degree in Computer Science. At Harvard, I was a Cheng's fellow and received the "Roslyn and Lisle Payne" scholarship.

In my last entrepreneurial stint as co-founder and CTO at kydots.ai, I led sales and engineering teams to deliver the SaaS product to enterprise clients in the financial management and human capital domains. We filed two patents and published a research paper for our proprietary platform.

I believe in the power of community and collective leadership. I relish my experience mentoring startups at Harvard, MIT, and the wider Boston ecosystem. I previously led joined Harvard Business Club as a Co-Director, where I helped Harvard founders with strategy and fundraising.

As someone interested in applied machine learning, I have led a few professional and academic initiatives in the domain of Artificial Intelligence. For instance, I have co-instructed the course "Collaborative Data Science in Medicine - HST.953" at MIT. I have also published in top machine learning conferences like NeurIPS and ACL and top journals like Lancet and Springer.