Data is the foundation on which Jarvis operates. It is the key to personalized services, efficiency and the creation of new value for users. Part of this philosophy is the understanding that data is not just a technical tool, but an important personal commodity. The basic condition for using the potential of Jarvis is “data cleaning” - its secure storage and access whenever you request it. Data literacy is becoming as important as financial literacy. Jarvis transforms raw data into valuable outputs:
Based on your history, preferences, and current activity data, Jarvis provides you with accurate recommendations and suggestions.
Data allows Jarvis to facilitate daily tasks and planning, and reduce the time it takes to complete tasks.
Merging data from different sources, such as photos, GPS, communications, creates new connections and values. The collected data allows us to develop new features and optimize existing processes.
Your trust is our priority. We process all data with the utmost care and the following security measures:
We use state-of-the-art encryption technologies to protect data during transmission and storage.
Data allows Jarvis to facilitate daily tasks and planning, and reduce the time it takes to complete tasks.
Data is stored in secure cloud services with regular security audits.
We believe that users should have complete control over their data. Jarvis respects your rights and gives you the tools to manage your data:
You can access all your data at any time.
You can correct incorrect data with Jarvis.
You can delete your data from our systems at any time.
You have the option to limit how your data is processed.
Our data protection rules are written simply and clearly so that everyone can understand them.
Security is not a one-time task – it is a commitment. We continuously invest in:
We perform simulations of potential threats and identify vulnerabilities before they are exploited.
We are working with experts to assess the security of Jarvis.
We follow the latest trends in data protection and security and implement them into our systems.
We check that Jarvis' answers do not contain biases or stereotypes.