| Industry | |
|---|---|
| Founded | 2016 |
| Founder | |
| Headquarters | 3551 Saint-Charles Blvd Suite 622, Kirkland, Quebec H9W 3C4 |
| Products | |
Number of employees | 17 (as of 2023) |
| Website | https://zetane.com/ |
Zetane Systems is a privately-held Canadian company based in Montreal, Quebec that develops software tools for enterprise and industrial applications of machine learning [1] [2]. The company's software suite allows teams to debug, test, and track machine learning models to make them operationally ready for clients and stakeholders. [3]
Zetane Systems Inc. was founded and incorporated in 2016 by Dr. Patrick St-Amant, Guillaume Hervé, and Jonathan Magoon, who are the company's current Chief Technology Officer, Chief Executive Officer, and Chief Product Officer, respectively. [1] Zetane Systems reported a revenue of $0 for the 2016 fiscal year, and has no published revenue for the years 2017 to 2020.
As of 2023, Zetane Systems is comprised of 17 employees, comprised of software developers, machine learning engineers, data scientists, and graphic/ user interface designers. [3]
For the 2022 fiscal year, Zetane Systems reported a revenue of $1.9 million, a $700,000 increase compared to their 2021 reported revenue of $1.2 million. [4]
They have raised $1.3 million in funding over 9 rounds of non-equity assistance. Their most recent funding of $148,000 was received on June 10, 2022, from Hypercroissance Québec. [5]
As of 2023, Zetane Systems offers 2 artificial intelligence-based SaaS platforms.
Insight Engine is the first service deployed by Zetane System's. It is a tool that allows users to conduct deep model diagnostics on machine learning models. [6] Insight Engine provides a workspace for understanding neural networks, and breaking up the layers of a machine learning model, with abilities to inspect internal tensors, network maps, and model outputs. [6] Insight Engine is available as a Python API, or as a downloadable application. [6]
Zetane System's main service is Protector, a tool for industries and enterprises to conduct automatic rigorous testing of their artificial intelligence and machine learning models to ensure robustness. [7] The tests are comprised of weather, brightness, blur, transformation, obstruction, and colour tests that produce statistics on the inputted model's accuracy, precision, recall, and F1-score. Users can use the insights to analyze their machine learning data prior to official deployment. [7] Protector is available as a Python API, or as a web-based platform. [7]
Partners [7]
- PME MTL
- Business Development Bank of Canada
- Investissement Québec
- Amazon Web Services
- District 3
- Fasken
- Creative Destruction Lab
- The National Research Council of Canada
- Économie et Innovation Québec
- Mtl Inc.
- Export Development Canada
- Epic MegaGrants
- ^
a
b
"Zetane Systems". Linkedin. March 15, 2023. Retrieved March 15, 2023.
{{ cite web}}: CS1 maint: url-status ( link) - ^ "Zetane Systems Company Profile: Valuation & Investors | PitchBook". pitchbook.com. Retrieved 2023-03-20.
- ^ a b "About Zetane and our experts in industrial machine learning". zetane.com. Retrieved 2023-03-16.
- ^ "Zetane: Revenue, Competitors, Alternatives". growjo.com. Retrieved 2023-03-27.
- ^ "Zetane Systems - Updates, News, Events, Signals & Triggers". Crunchbase. Retrieved 2023-03-23.
- ^ a b c "Zetane Documentation". your-docusaurus-test-site.com. Retrieved 2023-03-16.
- ^ a b c d "Zetane Systems". zetane.com. Retrieved 2023-03-16.
 | This is a user sandbox of
Pinkban. You can use it for testing or practicing edits. This is not the sandbox where you should draft your assigned article for a dashboard.wikiedu.org course. To find the right sandbox for your assignment, visit your Dashboard course page and follow the Sandbox Draft link for your assigned article in the My Articles section. |
| Industry | |
|---|---|
| Founded | 2016 |
| Founder | |
| Headquarters | 3551 Saint-Charles Blvd Suite 622, Kirkland, Quebec H9W 3C4 |
| Products | |
Number of employees | 17 (as of 2023) |
| Website | https://zetane.com/ |
Zetane Systems is a privately-held Canadian company based in Montreal, Quebec that develops software tools for enterprise and industrial applications of machine learning [1] [2]. The company's software suite allows teams to debug, test, and track machine learning models to make them operationally ready for clients and stakeholders. [3]
Zetane Systems Inc. was founded and incorporated in 2016 by Dr. Patrick St-Amant, Guillaume Hervé, and Jonathan Magoon, who are the company's current Chief Technology Officer, Chief Executive Officer, and Chief Product Officer, respectively. [1] Zetane Systems reported a revenue of $0 for the 2016 fiscal year, and has no published revenue for the years 2017 to 2020.
As of 2023, Zetane Systems is comprised of 17 employees, comprised of software developers, machine learning engineers, data scientists, and graphic/ user interface designers. [3]
For the 2022 fiscal year, Zetane Systems reported a revenue of $1.9 million, a $700,000 increase compared to their 2021 reported revenue of $1.2 million. [4]
They have raised $1.3 million in funding over 9 rounds of non-equity assistance. Their most recent funding of $148,000 was received on June 10, 2022, from Hypercroissance Québec. [5]
As of 2023, Zetane Systems offers 2 artificial intelligence-based SaaS platforms.
Insight Engine is the first service deployed by Zetane System's. It is a tool that allows users to conduct deep model diagnostics on machine learning models. [6] Insight Engine provides a workspace for understanding neural networks, and breaking up the layers of a machine learning model, with abilities to inspect internal tensors, network maps, and model outputs. [6] Insight Engine is available as a Python API, or as a downloadable application. [6]
Zetane System's main service is Protector, a tool for industries and enterprises to conduct automatic rigorous testing of their artificial intelligence and machine learning models to ensure robustness. [7] The tests are comprised of weather, brightness, blur, transformation, obstruction, and colour tests that produce statistics on the inputted model's accuracy, precision, recall, and F1-score. Users can use the insights to analyze their machine learning data prior to official deployment. [7] Protector is available as a Python API, or as a web-based platform. [7]
Partners [7]
- PME MTL
- Business Development Bank of Canada
- Investissement Québec
- Amazon Web Services
- District 3
- Fasken
- Creative Destruction Lab
- The National Research Council of Canada
- Économie et Innovation Québec
- Mtl Inc.
- Export Development Canada
- Epic MegaGrants
- ^
a
b
"Zetane Systems". Linkedin. March 15, 2023. Retrieved March 15, 2023.
{{ cite web}}: CS1 maint: url-status ( link) - ^ "Zetane Systems Company Profile: Valuation & Investors | PitchBook". pitchbook.com. Retrieved 2023-03-20.
- ^ a b "About Zetane and our experts in industrial machine learning". zetane.com. Retrieved 2023-03-16.
- ^ "Zetane: Revenue, Competitors, Alternatives". growjo.com. Retrieved 2023-03-27.
- ^ "Zetane Systems - Updates, News, Events, Signals & Triggers". Crunchbase. Retrieved 2023-03-23.
- ^ a b c "Zetane Documentation". your-docusaurus-test-site.com. Retrieved 2023-03-16.
- ^ a b c d "Zetane Systems". zetane.com. Retrieved 2023-03-16.
| This is a user sandbox of
Pinkban. You can use it for testing or practicing edits. This is not the sandbox where you should draft your assigned article for a dashboard.wikiedu.org course. To find the right sandbox for your assignment, visit your Dashboard course page and follow the Sandbox Draft link for your assigned article in the My Articles section. |