Grants and Contributions

o The "Seismic Data Bandwidth Improvement using Artificial Intelligence" project aims to enhance seismic data processing by employing advanced AI algorithms to expand bandwidth and improve resolution. Traditional seismic methods often limit frequency ranges, leading to reduced subsurface imaging accuracy. This project seeks to overcome those limitations by using machine learning models to identify and amplify weak signals, resulting in clearer and more detailed seismic images. By improving the quality of seismic datasets, the project will provide geoscientists with better insights into complex geological formations, aiding in resource discovery and hazard assessment.

This pilot will evaluate the efficacy of the Firm's technology for disinfection of air.

This BCFP project will focus on pilot-scale demonstration of the firm’s copper extraction process in collaboration with a pilot partner.

The project involves evaluating current and potential platforms and creating a strategic report to boost MIMOSA’s visibility in the US market. A plan will be developed/implemented to improve social performance, define success metrics, and manage a social media content planner based on these metrics. Additionally, the project includes assessing content effectiveness, using analytics for social initiatives, and creating sales and customer success materials.

Developing a cutting-edge 5-axis machine for metal additive and subtractive manufacturing, integrating advanced 3D printing and milling capabilities to create high-precision, complex metal parts efficiently and accurately.

This is an R&D project to test hypotheses and experiment with new mechanisms to design a repeatable and scalable business process and to develop IP in business methods.

Perform various tests and experiments on the company e-commerce website, company social media accounts, and external portal accounts with the overall objective of determining what works to increase online e-commerce web sales.

This project will be focused on building a highly scalable, high performance cloud hosted backend that will be used to drive integrated android tv sports applications for pay tv service providers. Key features of the project will include sports metadata ingestion, management and delivery (historical and realtime), per service provider live schedule data (integrated with sports data), user persistence (favorites and profiles), ingestion and alignment with additional external data sources (ex: Youtube highlights) and a fully functioning android tv application that will provide an enhanced and engaging user experience for sports fans designed for integration with existing pay tv services.

Sonical.ly Inc. plans to enhance the interactivity, usability, and overall user experience of the educational music application.

This project focuses on creation of a structured platform database and generation of advanced reports and insights, enhancing the decision-making process for both internal stakeholders and clients.

The firm aims to develop a tool to enable clients to declare a disaster and invoke resources to power up and spin-up via Interactive Voice Response (IVR) to enhance and extend our existing Disaster Recovery (DR) runbook service.