Donor Prospect Research Platform

The Vendor is required to provide of the donor prospect research platform will be to aid fundraising efforts through AI/machine learning-enhanced donor research.
- Relevant software will allow the Development team to assess donor viability and improve the efficacy of prospective donor interactions.
- Customize, operationalize, test, and maintain the AI Higher Education machine-learning model to predict the likelihood of each constituent giving.
• Data source: data from university will be used to build the models.
• Collaboration: have regular calls to discuss model performance and leverage the scores to maximize productivity.
• The model will identify and segment the donor pipeline by providing an AI score for each constituent.
• Initial steps: schedule calls with the client to discuss project goals, objectives, and data requirements.
• Data sharing: facilitate secure data transfer and interpretation for model building.
• Model overview: present an overview of the model build process, including summary analytics, donor and non-donor features, and a review of AI’S visualization tool.
• License: grant a nonexclusive, non-transferable, limited license to use confidential information or materials for client’s own benefit and purposes.
• Initial model review: present a detailed review of the process and inputs, a summary of actionable findings, a prototype predictive model, and preliminary analytics.
• Data transfer: client will send data via SFTP.
• Pricing: client will be invoiced annually, with pricing including custom machine learning models, data access, screening, retraining, and support.
• Post-delivery support: provide ongoing feedback and support through calls after model delivery.
- Questions/Inquires Deadline: July 23, 2025