Grants and Contributions

An R&D Project to evolve PaySimply bill payment solution to enable multiple methods of payment to merchants, with low integration overhead.

Stathletes intends to decrease turnaround time and increase accuracy of near real time data feeds

Jordan has been working for the past 3 months on a high speed hydraulic punching system for a rollforming line. It consists of a piercing and a cutting hydraulic press. He went through the adaptation of a reference design, the sizing of the actuators (servo motors, valves, cylinders) and is now finalizing the detailing of the drawings before releasing for production
In the near future and for the next 3-4 months, he will enter our junior hands on learning program where he will support the testing and assembly team through the validation of the capabilities of different production lines. The objective is to give him a better understanding of the common issues of our products to then improve our design once he is back into design.

Symboticware has completed the pre-processing layer for the integrated Data Science and Machine learning driven platform. The post-processing layer is also completed ahead of schedule. The firm is putting on Fast Track the development of "application layer" powered by the pre-processing and post-processing layer.

By providing a platform for AI to learn from its human operators, it will enable the AI to acquire valuable insights and intelligence for trading.

This learning process will allow the AI to refine its actions, increasingly mirroring the actions and intentions of its human operators, thereby becoming increasingly effective and reliable.

Acronym definitions used throughout:

IO - Insertion Order
FSA - Forward Sorting Area
RFP - Request for Proposal
PO - Purchase Order
CPM - Cost Per 1,000 impressions
CPC - Cost Per Click
CPA - Cost Per Acquisition
KPI - Key Performance Indicator
DSP - Demand Side Platform
SSP - Supply Side Platform
RTB - Real-Time Bidding
PSA - Publisher Service Agreement
MSA - Master Service Agreement

The mineral exploration industry requires a fully automated exploration drill, and the Drillco system is ready to address the market need by improving its already developed system. The firm has spent over a year creating a growth plan which includes the development of an online portal for clients to access all their drilling metrics data. Further, the firm plans to roll out mast automation features focused on improving productivity and safety. The Drillco Automation Phase 1 project focuses on the automation of rod pulling, thread make/break, along with the introduction of cruise mode.

Pharmacia2Go is enhancing its healthcare delivery platform to optimize prescription delivery for pharmacies across Canada. This project focuses on implementing an advanced tracking system for real-time delivery transparency and reliability, and building a robust patient communication platform to streamline interactions between patients and delivery drivers. These improvements aim to save significant time for pharmacies, improve customer satisfaction, and ensure timely, secure delivery of medications, contributing to better health outcomes and operational efficiency.

As part of the international consortium project “[RETAIN]”, this project will focus on improving nickel production and efficiency, enhancing sustainability, and fostering UK-Canada collaboration. This effort strengthens battery and EV production in both countries amidst significant commercial pressure.

The project objective is to develop and implement a node-based 5G network to track and monitor miner locations within underground mining environments. The network will provide seamless, low-latency communication, enabling continuous monitoring of miners' movement.

The firm will address the material impact of absenteeism in the workplace due to health issues, by creating a novel AI-enabled decision support tool to address the specific gaps within the disability management industry. This industry relies on time-consuming, resource-intensive manual processes to adjudicate cases. The firm aims to optimize case management processes by using artificial intelligence to allow case managers to make accurate, evidence informed decisions.