Grants and Contributions

TACTIQL Inc. will hire a youth software engineer to support the development and enhancement of its digital solutions. The role will provide practical, hands-on experience in software design, coding, and testing, contributing to ongoing product development and innovation.

Develop an AI Leasing Assistant capable of responding 24/7 with property-specific, natural language, and smart workflow automation that handles lead qualification, property matching, showing bookings, and application follow-ups.

This project will advance the DMU from TRL7 to TRL9. This project will undertake post laboratory trial validation of the minimal viable product and mathematical model through field deployments on operational dredging sites. The firm will also focus on transitioning to more robust and futureproof hardware in order to accommodate modern enterprise ecosystems and contemporary embedded system engineering practices. Additional field trialing will allow for the collection of large amounts of data to use in the development of an edge inference machine learning interface to improve system accuracy.

The project is focused on advancing the development of the Enclave platform from a proof of concept presently, to a low fidelity functional prototype. The platform will enable informed decisions regarding product selection and measure performance against goals that reduce costs, accelerate build speed and improve sustainability. The result is better more sustainable homes and affordable micro-communities, built more quickly at a lower cost to purchasers. The platform is scalable and is expected to evolve eventually to a SaaS model that would benefit the entire home building industry, however this is outside of the scope of this project.

The project involves designing for manufacturing of various CathPilot system components to enable commercialization feasibility and success. This includes the redesign of various components for molding and optimizing for assembly to help reduce costs, assembly time, and improve quality.

This project will test hypotheses and experiment with new mechanisms to optimize a repeatable and scalable business process, which may result in new business methods for RCI’s Digital Marketplace.

This project will test hypotheses and experiment with new mechanisms to design (or optimize) a repeatable and scalable business process, which may result in new business methods for electronic health records or new digital health products.

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

The youth will be responsible for the readiness and quality of VR kits, including simulations, and provide troubleshooting support to clients.

This student will be working on a range of tasks (development, new evaluations, analysis, supporting infrastructure, systems to operationalize it and reporting tools) to accelerate the development of an AI system to evaluate call center call recordings to predict customer satisfaction and call resolution.