Personal Data Usage Policy

How we use personal data

Sarga Additive Manufacturing Private Limited uses the data we collect to provide you with rich, interactive experiences.

We collect data from you, through our interactions with you and through our products. You provide some of this data directly, and we get some of it by collecting data about your interactions, use, and experiences with our products. The data we collect depends on the context of your interactions with us and the choices you make, including your privacy settings and the products and features you use. We also obtain data about you from third parties.

You have choices when it comes to the technology you use and the data you share. When we ask you to provide personal data, you can decline. Many of our products require some personal data to provide you with a service. If you choose not to provide data required to provide you with a product or feature, you cannot use that product or feature. Likewise, where we need to collect personal data by law or to enter or carry out a contract with you, and you do not provide the data, we will not be able to enter into the contract; or if this relates to an existing product you’re using, we may have to suspend or cancel it. We will notify you if this is the case at the time. Where providing the data is optional, and you choose not to share personal data, features like personalisation that use such data will not work for you.

In particular, we use data to:

• Provide our products, which includes updating, securing, and troubleshooting, as well as providing support. It also includes sharing data, when it is required to provide the service or carry out the transactions you request. We use data to operate our products and provide you with rich, interactive experiences.
• Improve and develop our products- We use data to continually improve our products, including adding new features or capabilities.
• Personalize our products and make recommendations- Many products include personalized features, such as recommendations that enhance your productivity and enjoyment. These features use automated processes to tailor your product experiences based on the data we have about you, such as inferences we make about you and your use of the product, activities, interests, and location.
• Advertise and market to you, which includes sending promotional communications, targeting advertising, and presenting you with relevant offers.
• We also use the data to operate our business, which includes analyzing our performance, meeting our legal obligations, developing our workforce and doing research.
• Product activation- We use data—such as device and application type, location, and unique device, application, network, and subscription identifiers—to activate products that require activation.
• Product development- We use data to develop new products. For example, we use data, often de-identified, to better understand our customers’ computing and productivity needs which can shape the development of new products.
• Customer support- We use data to troubleshoot and diagnose product problems, repair customers’ devices, and provide other customer care and support services, including to help us provide, improve, and secure the quality of our products, services, and training, and to investigate security incidents.
• Help secure and troubleshoot- We use data to help secure and troubleshoot our products. This includes using data to protect the security and safety of our products and customers, detecting malware and malicious activities, troubleshooting performance and compatibility issues to help customers get the most out of their experiences, and notifying customers of updates to our products.

Our processing of personal data for these purposes includes both automated and manual (human) methods of processing. Our automated methods often are related to and supported by our manual methods. For example, our automated methods include artificial intelligence (AI), which we think of as a set of technologies that enable computers to perceive, learn, reason, and assist in decision-making to solve problems in ways that are similar to what people do. To build, train, and improve the accuracy of our automated methods of processing (including AI), we manually review some of the predictions and inferences produced by the automated methods against the underlying data from which the predictions and inferences were made.