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MIT Hacking Medicine

MIT Hacking Medicine Revenue

Wellness and Fitness ServicesFlag of USCambridge, Massachusetts, United States21-50 Employees

$

MIT Hacking Medicine revenue & valuation

Annual revenue$2,908,870
Revenue per employee$86,000
Estimated valuation?$9,400,000
Total fundingNo funding

Key Contacts at MIT Hacking Medicine

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Thanasak Hoontrakul

Program Director Thailand

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Khadiza Rahman

Co Director

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Lalit Mehta

Director

Company overview

Headquarters77 Massachusetts Ave, Cambridge, Massachusetts 02139, US
Website
NAICS71394
SIC839
Employees21-50
Socials

MIT Hacking Medicine Email Formats

MIT Hacking Medicine uses 3 email formats. The most common is {2char} (e.g., {2char}@mit.edu), used 50% of the time.

FormatExamplePercentage
{2char}
{2char}@mit.edu
50%
{first name}{last name}
johndoe@mit.edu
30%
{first name}
john@mit.edu
20%

About MIT Hacking Medicine

Disrupting healthcare innovation one hack at a time. Our mission is to ignite and empower entrepreneurship around the globe by scaling medicine using our own problem-based design thinking models to identify and solve problems. Companies founded at our hackathons have raised more than US$ 1.4 Billion. https://hackingmedicine.mit.edu

Employees by Management Level

Total employees: 21-50

Seniority

Employees

Entry
Director
Manager

Funding Data

MIT Hacking Medicine has never raised funding before.

Frequently asked questions

MIT Hacking Medicine is located in Cambridge, Massachusetts, US.
MIT Hacking Medicine generates an estimated annual revenue of $2,908,870. This revenue figure reflects the company's market position and business performance in its industry.
MIT Hacking Medicine has an estimated valuation of $9,400,000. This valuation is calculated based on industry-standard revenue multiples and reflects the company's growth potential and market positioning.
MIT Hacking Medicine has approximately 21-50 employees. The company continues to grow its workforce to support its business operations and expansion.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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