Toronto-based Canvass Analytics offers industrial manufacturers a unified no-code platform to gather and process data, build and train models, and deploy AI solutions across the factory floor and help scale-up operations with data-driven insights to enable production process improvement and asset performance optimization.
The company caters to verticals such as manufacturing, oil and gas, automotive, food and beverage, energy, and metals. Canvass Analytics received a patent from the US Patent and Trademark Office (USPTO) for its industrial AI platform in June 2022 enabling users to efficiently utilize collected data in everyday operations by providing time-series forecasts to make adjustments to their processes and assets in real time. The company received another patent in October 2022 for its process speed-based forecasting technology.
In November 2023, the company introduced a GenAI-powered solution that incorporates learnings from text and visual-based data to enable users to generate more advanced time-series-based insights. Its applications include visual quality inspection, predictive maintenance, simulated lab measurements, and cause-and-effect analysis.
Key customers and partnerships
As of August 2024, Canvass Analytics’ technology served several large companies, including Nestle, ABB, Magna International, Yamaha, Microsoft, and Enmax.
Canvass has entered a number of partnerships with companies including: 1) OSIsoft (operational analytics company), to integrate the company’s data processes and offer an IoT data intelligence solution, 2) TrueNorth (engineering and technical consulting services provider), to offer predictive industrial automation solutions to its manufacturing plant clients, and 3) Brock Solutions (an engineering solutions provider), to develop AI implementations across the industrial sector.
In March 2022, Canvass' software-as-a-service (SaaS) platform was made available on Microsoft Azure Marketplace to accelerate the industrial sector’s adoption by targeting industrial engineers that could use the SaaS platform without any expertise in data science. In December 2023, the company went on to collaborate with Microsoft OpenAI labs to leverage Azure OpenAI (AOAI) for copilot automation capabilities in its industrial AI software.
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