Developing AI Tool for Database of Transformative Construction Technologies

Project Overview

Project Overview

Hometeam Ventures’ (HT Ventures) mission is to close the housing gap by investing in early stage founders bringing breakthrough technology to one of the world’s largest but least innovative industries: construction & housing. To support this, HT Ventures actively scout potential investments, focusing on solutions that address key challenges in affordable housing. These solutions are part of its constantly growing database. This database helps with decisions on possible investments, keeping track of industry trends and sharing potential innovations with industry partners based on their needs and requirements.

This project aims to automate the process of categorizing and organizing solutions in HT Ventures’ database. This process is vital, but is currently done manually, requiring significant time and effort. Hometeam Ventures would like to develop an AI-automated tool capable of automatically categorizing and tagging ventures based on their scope of work and technological focus. By implementing this tool, HT Ventures aims to achieve three primary goals:

1. Increase Efficiency: Automate the manual tagging of new ventures, saving the team time to spend on other activities.
2. Improve Accuracy: By using an AI model trained on the current database of ventures, the tool will ensure that company tags and attributes are consistently and accurately applied.
3. Enhance Strategic Impact: Facilitating early support for emerging companies aligns with broader goals of expanding investment and promoting visibility for innovation in the construction industry.

Key Responsibilities:

• Collaborate with HT Ventures to understand current tagging processes and desired attributes for categorization.
• Develop, train, and test the AI model using existing data, ensuring accuracy and reliability.
• Implement a system for integrating and testing the tool in HT Ventures’ database.
• Regularly update stakeholders on progress, challenges, and milestones achieved.

Impact

One key impact of this project is elevating the visibility of early-stage startups developing transformative construction technologies. These startups often face significant challenges at the early stages, where support and awareness are crucial for growth. By increasing visibility for these emerging technologies, HT Ventures enhances the likelihood of success for early-stage founders, helping them gain traction, funding, and valuable industry connections.

By automating the tagging and categorization process, this project will advance Hometeam Ventures’ mission to invest in solutions that tackle affordable housing issues by:

1. Enhancing its ability to identify and support innovative, early-stage companies.
2. Allowing it to promote these technologies effectively within the construction industry, thus contributing to closing the housing gap.
3. Increasing its capacity to track and engage with promising industry trends and solutions, allowing stronger support for portfolio and industry partners.

Eligibility Criteria

Skills / Experience

• Required:
  • Data Analysis + Statistics
  • Programming
  • Technical skills in AI – building, implementing and testing AI models
• Desired:
  • Understanding of construction and housing technologies may be helpful

Discipline:

• Software engineering / Computer science

Preferred fellow local experience (all projects can be completed remotely):

• N/A

Time zone compatibility (when the Fellow should be available for meetings):

• CET (UTC+1)