Case Studies
Sensitive Data Collaboration
Create joint customer profile based on data shared between multiple organizations.
Objective: Enrich customer profile by consolidating data from multiple service companies under the same group.
Approach: Share customer data and create a joint profile while data is kept confidential to all parties.
Benefits: Create new revenue by targeting customers with personalized offers.
Confidential AI Sandbox
Launch an AI sandbox for fast pilots with tech companies and startups.
Objective: Pilot and launch new technologies and business models with the innovative tech and startup ecosystem.
Approach: Invite partners to pilot their AI and data applications using your sensitive info in its original form while it remains confidential.
Benefits: Improve efficiency, accelerate innovation and time to value.
LLM Data Firewall
Anonymize and obfuscate sensitive data before sharing with cloud-based LLM for training and inference.
Objective: Develop cloud-based LLM copilots and train LLM models using consumer's financial, insurance, and health records without exposing sensitive data.
Approach: Leverage Multyx's scalable text anonymization engine to securely and flexibly obfuscate and de-obfuscate private information in your corpus.
Benefits: Minimize data exposure and related LLM knowledge risk while retaining LLM generative capabilities.