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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

Revero

start up
United States - San Francisco, CA
  • 04/11/2022
  • Seed
  • $5,000,000

Revero is aiming to reverse autoimmune and other chronic diseases by addressing the root causes. Our digital clinic integrates nutritional therapy and clinical expertise with machine learning and digital tools to deliver data-driven continuous remote care.

Founded in 2019, the company is headquartered in San Francisco, California.


Related People

Mahsa RostamiFounder

Mahsa Rostami United States - San Francisco, California

Mahsa Rostami is the CEO & co-founder of Revero, experienced in leading the vision, design and development of innovative scalable Machine Learning and AI solutions.

At Revero, our mission is to reverse autoimmune and other chronic diseases by addressing the root causes. Our digital clinic integrates nutritional therapy and clinical expertise with machine learning and digital tools to deliver data-driven continuous remote care.

Prior to this, Mahsa was an ML engineer for Danaher, where she designed AI models for IoT and Analytics initiatives on big data from health sciences, medical diagnostics, SaaS, and other markets using advanced AI and ML techniques.

Prior to Danaher, she worked at KPMG where she helped deliver ML and analytics solutions for Center of Medicare and Medicaid Services (CMS.gov) that led to significant cost savings in insurance services. To accomplish this, she applied NLP and Deep Learning at a massive scale on millions of documents and large complex data sets, as well as product development and optimization.

Before KPMG, she applied ML techniques for MoneyGram on financial fraud analytics on billions of transactions per month and helped deliver up to 70% reduction in financial fraud among select population clusters. She also worked on a unified Data Platform that helped ML models run 100x faster on MoneyGram’s massive datasets.