Pack Energy Services Ltd.

5 records totalling $3,810,100.00 CAD, from official Government of Canada open data.

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National Research Council Canada $3,810,100 5 records

Records

Pack Energy Services Ltd. $2,640,000.00
National Research Council Canada | Conseil national de recherches Canada
Industrial Research Assistance Program – Contributions to Firms
FY 2024-2025
Canada

The project centers on a comprehensive five-step plan focusing on strategic hiring, product enhancement, market preparation, client value maintenance, and operational optimization.

Pack Energy Services Ltd. $500,000.00
National Research Council Canada | Conseil national de recherches Canada
Industrial Research Assistance Program – Contributions to Firms
FY 2022-2023
Canada

“IronSight At Scale” is a set of interrelated technical objectives which collectively deliver the performance and maintainability needed to truly operate the IronSight marketplace at scale.

Pack Energy Services Ltd. $475,000.00
National Research Council Canada | Conseil national de recherches Canada
Industrial Research Assistance Program – Contributions to Firms
FY 2021-2022
Canada

Unify IronSight’s digital form submission software with IronSight’s industrial services coordination software through the use of a central data backbone for the purpose of AI/ML optimizations and a bi...

Pack Energy Services Ltd. $123,500.00
National Research Council Canada | Conseil national de recherches Canada
Industrial Research Assistance Program – Contributions to Firms
FY 2019-2020
Canada

IronSight will transition a modern ASP.Net Core application from a single-tenant, docker based architecture to a consolidated multi-tenant architecture. This migration will involve low-level changes t...

Pack Energy Services Ltd. $71,600.00
National Research Council Canada | Conseil national de recherches Canada
Industrial Research Assistance Program – Contributions to Firms
FY 2024-2025
Canada

The objective of this project is to connect IronSight application data to a Generative Pre-trained Transformer (GPT) to readily expose operational insights for internal and external stakeholders.