Capstone – Project

Help build the open source prediction network

A Collaboration Between

Engagement Synopsis

We’ve built a network of real-time data and algorithms to make low-cost, high-quality predictions accessible and useful. Getting predictions is as simple as publishing data to our platform where competing, state-of-the art algorithms converge on optimized predictions. Micropredictions LLC is a subsidiary of Intech Investments, a top five U.S. Equity fund manager by a variety of metrics. Micropredictions LLC is established to foster development of the world's first microprediction network and its use by organizations large and small. We support the open source software development both directly, and through contributor incentives. We host the first node at, where you will find an API can be used to predict literally anything. We help companies or organizations get up to speed with usage patterns, including privacy preserving use of public prediction, and the techniques linking repeated prediction and business optimization. In this project, student would learn how to write and deploy programs that directly address real-time operational problems. These would predict quantities such as electricity ( or cryptocurrency movements. Students would also be able to create intelligent applications, such as a web page, that uses the turnkey prediction API to drive intelligence, thus pioneering new ways to exploit cheap prediction.

Company Information

CompanyIntech Investments
StageLarge Enterprise
Hiring PotentialFollow-on Projects, Formal Internship, Entry Level Full-Time, Upper Level Full-Time

Company Overview

Founded in 1987 in Princeton, NJ by pioneering mathematician Dr. E. Robert Fernholz, Intech serves institutional investors across five continents, delivering traditional equity, defensive equity and absolute return investment solutions. As of June 30, 2020, Intech managed about US$37.5 billion worldwide. Intech is based in West Palm Beach, FL and is an independently managed subsidiary of Janus Henderson Group (NYSE: JHG). For more information, please visit

Company Supervising Team

Company Admin

Peter Cotton

[email protected]

Course Info & Engagement Details

SchoolUniversity of Montana
Engagement FormatLive Case - Class Collaboration or Case Competition - This learning format allows educators to deliver experiential learning to students at scale. Students are often split into groups to work on a live case (or a series of cases) from a real host company that directly relates to key learning objectives.
CourseSpring Virtual Data Science Consulting Project
  • Advanced Undergraduate
  • All Graduate
Students Enrolled8
Meeting Day & TimeMonday, Wednesday, Friday: 11:00 AM MT - 11:50 AM MT
Student Time Commitment8-15 Hours Per Week
Company Time Commitment2 Hours
Duration7 weeks (01/18/2021 - 04/23/2021)

Project Topics

School Supervisors



[email protected]



[email protected]


There are currently no students assigned.

Collaboration Timeline

  • December 18, 2020

    Deadline for Industry Partners to Apply to Participate

  • December 26, 2020

    Project Scope Finalized

  • January 18, 2021

    OFFICIAL PROJECT LAUNCH: We’ll find a time on this day to web conference you into our class to kickoff the project.

  • April 23, 2021

    OFFICIAL PROJECT END: We’ll find a time on this day to web conference you into our class to close the project.

Key Milestones & Project Process

Project Resources

There are no resources currently available