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Carta Healthcare

Transforming patient data into better outcomes

Carta Healthcare logo
21-100 employees
  • Healthcare
  • B2B
  • Artificial Intelligence
  • Machine Learning
  • SaaS
  • Data Analysis
Pacific Heights, San Francisco, CA

Company mission

To improve patient care by harnessing the value of clinical data.

Led by a woman

-10% employee growth in 12 months

Our take

To help reduce the administrative burden on doctors, Carta Healthcare uses machine learning to automate the abstraction of clinical data. Normally, this laborious work is carried out manually, taking up valuable physician time that could be better spent caring for their patients.

Through Carta's data registry, analytics and predictions solutions, medical staff can not only save this valuable time, but can also improve patient outcomes, by using the platform to cross reference ongoing treatments with similar past patients to project the most suitable course of action.

A part of the AI healthcare revolution, Carta Healthcare is operating in a growing space that has been rapidly gaining attention. This is reflected in its impressive fundraising so far, snagging investments in 2021, 2022, and 2023. The latest round is cited to help scale up operations and enable the company to develop and release new products.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Benefits

  • 401K
  • Medical, dental, and vision
  • Unlimited vacation

Company values

  • Collaboration - Together we are stronger when we share success, goals, and mutual support. We want compassionate people who are true partners prepared to transform healthcare
  • Creativity = We inspire growth and innovation by being bold and taking action. We want inventors and people who are willing to try new ideas and are open to testing, learning, and iterating as they go
  • Ownership - We hold ourselves to the highest standards of integrity: accountability for ourselves, colleagues, clients, and company. We want people who are dedicated to our mission

Funding (last 2 of 3 rounds)

Jun 2023

$5m

SERIES B

Nov 2022

$20m

SERIES B

Total funding: $42.3m

Leadership

Co-founded Global Dressage Analytics in 2011. They have extensive software engineering experience and were a Product Manager at Samsung.

With over seven years experience in data analytics, they started as a mathematician and hold master’s degree in economics. They spent three years doing business development for Credit Suisse Fixed Income derivatives department. After starting their first company in art education space, they got an MBA from Stanford Graduate School of Business.