Grants and Contributions

The project focuses on VR interactions by groups and individuals with AIGenCI, a dynamic and configurable generative AI agentic intelligence scenario. Use cases include a live presenter brokering interaction for attendees and a facilitator guiding groups through a shared and interactive tabletop exercise. Technical innovations enable AIGenCI scenario interactions via VR user experiences in a web browser or desktop application, integrated through service interfaces to back-end cloud servers, to allow dynamic and interactive shared GenAI/VR experiences based on data, best-available research, and analytics.

Integrate data sources that existed with application to cloud seeding, (weather data, radar, lightning detection, fire risk models, wildfire service priority areas for protection, etc.) into a model to predict and prioritize storm systems.

Develop intelligent prediction algorithms to guide staging and deployment of lightning suppression, maximizing asset utilization area of protection and efficacy.

This project aims to establish a reliable data infrastructure that consolidates work order and maintenance data from Property Management Systems (PMS) for proactive insight generation. It will build the foundation for Leni’s “one-shot insights” tool, enabling real estate asset managers to make quick, data-driven decisions that optimize maintenance efficiency, prioritize work orders, and reduce operational costs.

The Project will support pilot testing of AI strategies, determine target architecture and quantitative technical objectives for implementation of an AI solution for automating margin line segmentation in dental digital impression files.

The Project will support pilot testing of AI strategies, determine targeted architecture and quantitative technical objectives for implementation of an AI solution.

EFNpro’s proprietary technology platform streamlines contract creation and management for freelancers, agencies, and their clients. The key challenge for our ideal customer profile (ICP) is reducing time spent on administrative tasks before project kickoff. To address this, we plan to integrate AI and new features to simplify workflows from initial conversation to project close. Using a large language model AI, our platform will parse virtual meeting transcripts and user documents to auto-generate proposals, create project dashboards, and prefill contract details

This International Co-Innovation Action Program (ICAP) project will prepare the firm to enter into future international co-innovation work

This project will assist critical development of Rymacs marketability by assisting with funding of the firm's engineering team so it can support pilot testing of a structured approach to expanding the recognition capabilities of Rymacs A.I., thus adding new capabilities of the product to serve its existing and new customers. This will be done by leveraging Rymacs existing architecture and methodologies to determine target technical objectives for implementation of this solution.

This project aims to address critical subassembly failures in the novel transducer fabrication process. These failures, undetected during current quality control (QC) steps, have led to field device failures and reduced production yield. By leveraging computer vision and custom thermal testing technology, the project seeks to enhance the advanced quality control systems, improve production reliability, and ensure scalability of the fabrication process while maintaining cost efficiency.

This project aims to increase the innovation potential of Innovative Stonecraft by completing an applied project in process engineering for increased business competitiveness.

As part of the international cleantech project “Demonstration of Next Hydrogen Electrolyser Integrated with GE Vernova Power Converter,” this project will focus on integration of Next Hydrogen Corporation's (NHC's) electrolyser with a custom-designed, advanced GE Vernova (GEV) AC-DC power converter and demonstration with grid, solar, and simulated wind power at the GE Vernova Advanced Research Center (the ARC). NHC and the ARC will evaluate, characterize, and model the integrated system. GEV will subsequently scale up its design to the 8 MW range for integration with NHC's new scaled-up GEN3 electrolyser technology; this is a key strategic supply initiative for both NHC and GEV.