Key Takeaways
- DeepSight captures and standardized operational knowledge from experienced workers using augmented reality (AR) and artificial intelligence (AI).
- The system provides multilingual, step-by-step instructions through smart glasses and tablets, improving training efficiency and reducing errors.
- DeepSight targets medium-to-large manufacturers, focusing on practical applications in food processing, aerospace, and other industries.
Transforming Knowledge into Actionable Instructions
DeepSight, founded in Montreal in 2019, addresses the challenges faced by large manufacturing companies with high employee turnover and language diversity. Co-founders Nicolas Bearzatto and Francis Dubé aim to capture crucial operational knowledge before it is lost. By collating insights from seasoned workers, DeepSight enhances onboarding and training processes, reducing downtime and errors.
The company developed a rapid knowledge capture system that allows experienced operators to wear smart glasses while performing tasks. This system records their actions, speech, and visual data, which is then processed by AI to generate standardized, interactive work instructions within minutes. Bearzatto explains the value of capturing knowledge from long-tenured employees to prevent the loss of essential skills when they retire.
DeepSight’s platform can deploy instructions through AR smart glasses or commonly used tablets. Users scan QR codes linked to specific machines to access guided, multilingual instructions that consist of text, images, and audio. This approach allows workers to confirm step completion and capture additional data for quality assurance.
The company’s technology emphasizes practical deployment, focusing on current solutions rather than future concepts. While the ultimate goal includes AI-powered, real-time interactions through smart glasses, Bearzatto insists on delivering tangible benefits today. As hardware costs decrease, DeepSight foresees a time when users will engage with AI in real-time.
DeepSight primarily caters to medium-to-large manufacturers, especially those in the food industry, such as St Hubert. It offers continuous value beyond initial training periods, facilitating daily operations, maintenance, and safety compliance. The platform aims to embed itself in various manufacturing processes, thereby enhancing consistency and efficiency.
To distinguish itself in a market crowded with new tech, DeepSight aims to document its measurable returns on investment (ROI). The company emphasizes the time savings associated with creating and disseminating instructions and reports significant reductions in training times—up to 40% in some instances. Clear instructions contribute to impressive first-time task success rates across diverse worker backgrounds.
Bearzatto contrasts AR with virtual reality (VR), stating that while VR has specific applications, AR serves practical, real-world purposes that align closely with operational needs. He predicts AR will continue to expand in relevance across various industries, while VR remains specialized.
Overall, DeepSight’s innovative approach leverages modern technology to enrich the training and operational experiences of manufacturers, improving efficiency and knowledge retention in an evolving industrial landscape.
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