Grants and Contributions

This project will develop new technology to improve machine learning detectors for airfield inspections that are scalable to adjacent markets thereafter.

The project will provide a fully integrated system for tracking production data, automating data collection, and detecting defects with AI, along with a user-friendly application for task definition.

Kiddo Loom's innovative product enhances daycare management by leveraging AI-driven insights. The goal of this project is to add early childhood development (ECD) and daycare operational expertise to the firm's team. During this project this expert will play a critical role in the development of the team's MVP product as follows:
a) use their knowledge of ECD to ensure sufficient data is captured
to provide AI-driven assessments of skill development
b) accurate descriptions of educational activities which includes
information which skills are supported/developed in the activity,
expected outcomes, any pre-conditions
c) how best to capture instructor skills and specialties
d) ensure sufficient is data captured is sufficient to support
AI-driven inferences regarding educational next steps

Finally, the individual's knowledge about day cares will support the development of business innovation processes to support scaling the company.

AI Assist Project supports the further development of the prototype AI-powered plug-in to be used for virtual production and video game development. The new platform integrates various AI tools, developed by the Firm, to enhance efficiency, accessibility and optimization in virtual and film production.

This project aims to develop a novel in-service water pipe leak detection AI system that features an advanced deep learning models and an intuitive Graphical User Interface. This project is poised to deliver significant social and economic benefits by fundamentally transforming acoustic leak detection solutions, improving accuracy and operational efficiency. The innovative AI system allows engineers to rapidly detect leaks without disrupting the water supply, offering a cost-effective and scalable solution crucial for building market trust and fostering the adoption of advanced diagnostic technologies.

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

Gastronomous is expanding its team to include a technically trained Product Manager. This person will be at the intersection of Engineering and Business Development, working closely with each team to develop a deep technical and commercial understanding of the product. In doing so, the Product Manager will be able to understand what success looks like for the product while identifying the customer's needs and translating them to the larger business objectives that a product will fulfil.

The objective of the project is to automatically identify and classify geological and geotechnical features from LiDAR data to improve decision making around safety and orebody knowledge within the mining and tunnelling sectors.

This project explores the use of AI to automate workflows by experimenting with advanced algorithms to identify, analyze, and document experimental uncertainties and investigations for R&D-intensive projects.
 
Through iterative testing and refinement, the project aims to develop a prototype solution that demonstrates the potential of AI-driven approaches in transforming claim preparation processes.

The Project will support the development of an innovation plan to explore integrating AI into the Firm’s core business.

Generative AI poses new Data Security issues for organizations, from inadvertent loss of IP protection to decisions based on confabulated information generated by the system. This project proposes architecting guardrails for Generative AI use that organizations can implement to monitor in real-time, online, users of Generative AI via the Platform Portal created to operationalize AI Governance.

The GenAI monitoring solution is unique in the market based on its security features and enhanced monitoring capabilities:

Built-in Data Monitoring
Audit Trails
Compliance Logging