Get Started with Privacy-Preserving
Machine Learning (PPML)
Build models leveraging sensitive data from multiple, private sources using Inpher’s Secret Computing Platform, XOR.
Perform Data Science on Distributed, Private Data
Access the infrastructure and tools to build secure, privacy-compliant models without knowing advanced cryptographic techniques like MPC.
Develop Models Using Intuitive UI or XOR-Py
Get immediate access to everything needed to build models; use the XOR UI if you prefer click-and-build or XOR-Py for Python notebooks.
Build Real-World PPML Applications
Review a variety of PPML applications through step-by-step tutorials, real-world data and example notebooks derived from industry-specific applications across Financial Services, Health & Life Sciences, IoT and more.
Bring Your Own Data
XOR Trial FAQ
Inpher’s free trial is an ideal way for data scientists and ML researchers to get an understanding of how a privacy-preserving ML platform can make their day-to-day work easier and more efficient in building ML models with sensitive data without gaining cryptographic expertise.
XOR Platform is built for data scientists. The trial platform has an intuitive UI and interactive Python notebook making it flexible for data scientists to choose what works best for them.
XOR Platform can help you securely and compliantly build ML models, but this trial version is really designed for data scientists. Offer to have members of your team give us a try. You can also reach out to us to discuss your specific problems.
Yes, with XOR Trial you get access to product demos, developer portal and step-by-step how-to guide for all the use cases.
Yes! Bring your own data notebook to XOR. To make the most of the is notebook, you will need to upload datasets belonging to 3 different players (player 0, 1, and 2). Get started by filling out the form to the right.