
Red Cross: Satellite Imagery for Disaster Assessment
Leverage modern machine learning and AI techniques to rapidly analyze the before and after satellite images of affected areas to assess damage.
Organizations and universities increasingly need more than AI ideas. They need the capacity to implement, test, deploy, and sustain applied AI solutions in real settings.
At UMass Amherst, dataCore™ was created to meet that need — providing sustained, centralized AI engineering capacity that accelerates research, enables experiential learning, and strengthens real-world collaboration.
Challenges make it difficult to build momentum, retain knowledge, and deliver reliable technical execution across projects.
This model allows projects to move faster, maintain quality, and build institutional capability over time rather than starting from scratch each time.
Our work bridges the gap between research and implementation. dataCore™ works with university, industry, and public-sector partners to design and build applied AI and data solutions in areas such as:
Machine Learning & AI Applications
Natural Language Processing & Information Retrieval
Computer Vision
Predictive Analytics & Forecasting
Research-Enabling Tools & Decision Support Systems

Leverage modern machine learning and AI techniques to rapidly analyze the before and after satellite images of affected areas to assess damage.

Fine tune a speech recognition model to use the international phonetic alphabet.

Use a computer-vision algorithm to automatically detect whether or not a photograph contains an animal for The Nature Conservancy to use with trail-cam footage.
Partnering with dataCore™ means access to a team that combines applied engineering, university research depth, and emerging talent. We help organizations move from exploration to execution while benefiting from the strength of a major research university. dataCoreTM is built not only to deliver projects, but to create continuity, technical rigor, and long-term value.