Vision and Values

Sarvis' vision and values are reflected in its transformation from Sumup to Sarvis. Originally designed as a powerful browser plugin solely focused on information handling and utilization on Twitter, Sarvis has now upgraded to a more comprehensive and customized personal AI assistant platform. The following outlines Sarvis' core values and goals:

Sarvis = Sumup + AI + RPA + Value + Intent + Service

• Sumup：Based on its powerful existing Twitter information processing capabilities.

• AI：Artificial intelligence technology is used to improve the efficiency and accuracy of information processing.

• RPA: Robotic Process Automation technology support, used to automate daily tasks and processes.

• Value and Intent: Emphasizes providing users with valuable and user-intent-based services.

• Service: Provides high-quality customer service and user experience.

Please note that Sarvis will not read any private user data, it will only read users' public tweets on X/Twitter. Sarvis places great importance on personal privacy in the AI era. After deploying the RPA assistant, we will explore Zero-Knowledge (ZK) approaches to protect the privacy of users' DIDs.

Core Feature

Information source management: integrates multiple private information sources (such as email, RSS, Telegram, Discord, Wechat, Facebook) to provide personalized and private AI assistant services.

Zero-knowledge Proof: Uses ZK encryption and decentralized identity (DID) technology to protect the data security and privacy of personal sensitive information.

RPA Technology Support: Utilizes robotic process automation (RPA) to provide customized automated workflows for users based on personalized data.

RPA Application Market: Similar to GPT Store, provides RPA capabilities for developers to support the development of more information processing processes.

Content on-chain: Uses zero-knowledge proof and DID technology to ensure content encryption and security.

Social Prediction: Provides social prediction function based on Twitter data to enhance exposure and explore users' sentiment towards tokens.