Protect the data privacy of multiple participants, carry out multi-party collaborative computing tasks without disclosing the original data in advance, and ensure that data can be used but not seen
High performance solution based on TEE (Trusted Execution Environment) and other cryptography-based trusted computing systems
Enterprise level secure machine learning platform based on machine learning, deep learning algorithm, encryption protocol, differential privacy, reverse derivation and other technologies
Supports ciphertext data retrieval as well as calculation and common database functions. Provides high-performance, low-cost, stable and reliable database services
Participated in the creating the privacy-preserving computing industry standards, and obtained certifications from IEEE, GDPR, China Information and Communications Institute and other domestic and foreign organizations
One-stop multi-component platform, cross-platform compatibility, compatible with mainstream industry engines
The system supports two deployment modes: coordinated version and decentralized version. Integrated software and hardware solutions are also available
Built upon the work of a team of experts with a doezn of top conference publications in the field Tap into a comprehensive and high quality data network with 30+ data partners that covering consumer, enterprise, financial, government and many other fields
Enable UnionPay to securely share and monetize their data assets through privacy computing platform to serve financial institutions
Establish standard portraits of low-risk groups based on real data of users, and provide convenient "pay after you ship" service
Cross-department multi-party data security integration that improves the accuracy of disaster prediction and the efficiency of emergency response
+86 400-993-1619
info@points.org
Zhangjiang Science City, Pudong, Shanghai
Beijing ? Shenzhen ? Hangzhou
Banking
Insurance
Government
Industry
