Toronto, M5B 2H7, ON,
Canada
Borealis AI Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Borealis AI and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 150 Borealis AI employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Borealis AI has purchased the following applications: Greenhouse ATS for Applicant Tracking System in 2021, Google TensorFlow for ML and Data Science Platforms in 2020, Zoom for Audio Video and Web Conferencing in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Borealis AI is running and its propensity to invest more and deepen its relationship with Greenhouse , Google , Zoom Video Communications or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Borealis AI revenues, which have grown to $18.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Borealis AI intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Greenhouse | Legacy | Greenhouse ATS | Applicant Tracking System | HCM | n/a | 2021 | 2021 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google TensorFlow | ML and Data Science Platforms | AI Development | n/a | 2020 | 2020 |
In 2020 Borealis AI implemented Google TensorFlow as its core ML and Data Science Platforms capability to support a research-to-production machine learning pipeline. The deployment targeted the company research lab and affiliated research staff in Toronto, Waterloo, Vancouver, and Montreal, providing a common deep learning stack to enable theoretical and applied machine learning projects aimed at advancing banking-related algorithmic solutions.
Google TensorFlow was applied to standard platform functions common to ML and Data Science Platforms, including large scale model development, iterative experimentation, model training on massive structured and unstructured datasets, and workflows for deep learning research. Configurations emphasized Python integration and reproducible experiment workflows to support publishable research outputs and prototype handoffs, with explicit focus on time series and event forecasting scenarios referenced in hiring and research priorities.
Operational coverage extended across research scientists, ML engineering, and development teams, with the development organization responsible for transferring research models into production software. The implementation supported collaboration between research and product engineering to interpret organizational needs and to design algorithmic solutions that can drive next generation banking experiences, while keeping research dissemination and conference participation as part of the operational remit.
Governance practices described around the deployment centered on industry best practices for software engineering, reproducibility and research review, and a process to identify and disseminate relevant new AI technologies into the broader technology capability set. The platform usage was tied to a publication and peer review pipeline that enabled researchers to produce academic work and participate in conferences such as NeurIPS, ICLR, ICML, and CVPR.
Explicit benefits stated in the implementation context included access to massive datasets and the tools necessary to build advanced statistical models, opportunities for publication in peer reviewed journals, and support for researchers to influence product capabilities at local and global scale. Google TensorFlow is referenced by Borealis AI as a technical enabler within their ML and Data Science Platforms environment to operationalize research while preserving academic rigor and production readiness.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Zoom Video Communications | Legacy | Zoom | Audio Video and Web Conferencing | Collaboration | n/a | 2021 | 2021 |
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Collaboration | Collaboration |
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2019 | 2019 |
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Collaboration | Collaboration |
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2022 | 2022 |
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Survey and Questionnaire | Collaboration |
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2022 | 2022 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Customer Experience | CRM |
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2022 | 2022 |
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Marketing Analytics | CRM |
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2023 | 2023 |
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Tag Management | CRM |
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2020 | 2020 |
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PPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Project Portfolio Management | PPM |
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2021 | 2021 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2020 | 2020 |
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Apps Development | PaaS |
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2021 | 2021 |
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Apps Development | PaaS |
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2018 | 2018 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Application Hosting and Computing Services | IaaS |
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2019 | 2019 |
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Container Service | IaaS |
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2019 | 2019 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Identity and Access Management (IAM) | CyberSecurity |
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2023 | 2023 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2021 | 2021 |
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