Grants and Contributions

Enhancing the firm's mobility as a service software platform to support fixed route transportation, multi modal travel options and a web booking interface.

These accelerators sit in between our current offerings of custom solutions, which involve virtually all new work, and software products, which are built for a broad audience with no customization. The project will focus on automating and extending AltaML’s technological capabilities across five categories: MLOps, responsible AI, explainable AI, deployment infrastructure & security, and model retraining and active learning.

This proposal forms part of the Quantum Photonic Integrated Circuits for Quantum Interconnects Small Teams, Round 2 (2020) project whose overarching goal is to develop a chip-based platform where entangled photons can be generated and distributed between nodes in a quantum network, using nanowire-based quantum dots fully integrated on a chip manufactured in the silicon nitride material platform.
In this part of the project being delivered by Queens’ University, the objective is to develop designs and techniques that will realize the full potential of a fully integrated platform for the generation and manipulation ofquantum light. The project targets two related activities:
1- The design of photonic structures in the silicon nitride material system that harness cavity quantum electrodynamic effects mitigatepotential decoherence mechanisms in semiconductor-based quantum emitters.
2 - The development of device structures and techniques that can be used to study emitter-emitter interactions mediated by the surrounding photonic environment and even exploit them to enhance the single photon source figures of merit.

Development of new next generation TCT blades with significant improvement in performance.

Development of an automated touchless production system for hygienic ASTM Level 3 rated surgical masks in single and multi-packs, while improving production rate by 400%, reduce scrap rate by 90%, and lower manufacturing cost by 30%.

The project concerns the development of a laser sensor that allows the on-line quantitative evaluation of the adhesion of a metallic layer on another metallic layer.

The project is to enhance the firm's CMS platform allowing more rapid/efficient deployments with enhanced data migration capability and enhanced quality scans for ongoing quality testing of deployed implementations.

In Phase I, SanEcoTec has designed a platform for water quality management. SanEcoTec’s proprietary platform not only detects problems, identifies and acts on opportunities to improve water performance. With a database of key performance indicators (KPIs) – specific to each customer’s business needs – the platform compares inputs against objective standards to predict outcomes and optimize outcomes. The first Phase (‘Phase I’) MVP has provided immediate commercial value, as well as being a feedback mechanism for modification and development of subsequent phases. Phase II will develop and validate the algorithms for AI functionality and correlate new key data sets, and continue ongoing data/KPI development and related technical R&D.

To develop the well completion industries first vendor agnostic, operating procedure flexible, automated valve actuation system that combines the use of various engineered controls and sensor data for valve control and decision making certainty.

This project will specifically address the need to continue to make the firms prioritization analytics more accurate and trustworthy to e-commerce retailers.