AI Start-up Customer Segmentation Research for Potential Partnerships

Closed
Glendor, Inc
Draper, Utah, United States
CEO
(4)
3
Project
Academic experience
100 hours per learner
Learner
Anywhere
Intermediate level

Project scope

Categories
Market research Customer segmentation Sales strategy
Skills
protected health information medical research sales prospecting machine learning data lakes scalability pharmaceuticals market segmentation big data research
Details

We would like to work with students who are interested in exploring different market segments in medical data markets.

Medical research relies heavily on Big Data - large volume of training and testing data is required to build an automatic medical diagnostic tool using advanced Machine Learning techniques. However, presence of Protected Health Information (PHI) in medical images constitutes a significant hurdle to sharing and aggregating data. Due to sheer volume of the datasets, manual removal of PHI is not scalable and building a tool for automatic PHI detection, deletion and masking is crucial.

The market is seeing a lot of activity with companies that create big medical data lakes that can be shared with a variety of AI in Medicine startups.

There are several segments that we are interested in. The segment will be picked at the beginning of the internship and will depend on students interest and experience.

Deliverables

Students will be responsible for:

  • Developing a list of prospects for our product in one of several segments, e.g. Healthcare Research startups, pharmaceuticals or contract research organizations (CRO)
  • Reaching out to prospective clients and conducting informational interviews
Mentorship

The students will be working with the CEO of the company.

Weekly meetings with the team

1on1 meetings as needed by students

About the company

Company
Draper, Utah, United States
2 - 10 employees
Technology, Hospital, health, wellness & medical, Science

Our company is developing technology for identification and redaction of sensitive information in different media: texts, images, voice recordings, videos ...