Data for Product Development
Unlock Data-Driven Innovation Without Compromising Privacy
About
Building great products requires data-driven insights—but accessing sensitive data for product development is often a slow, complex, and risky process.
With AGENT, product teams can securely access and analyze valuable datasets without exposing sensitive information.
By leveraging Differential Privacy, AGENT enables organizations to extract critical insights for product development while maintaining full compliance with GDPR, HIPAA, and other privacy regulations.
The Challenges of Data-Driven Product Development
Limited Access to Valuable Data
Product teams struggle to get access to customer feedback, usage data, and behavioral trends due to strict privacy policies.
Regulatory & Compliance Barriers
Using real customer data for product research comes with legal risks—GDPR, CCPA, and HIPAA impose strict requirements on data access, usage, and storage.
Security Concerns & Risk of Data Breaches
Traditional data-sharing methods expose organizations to unauthorized access, breaches, and compliance failures—risking customer trust and reputation.
How AGENT Solves These Challenges
AGENT removes barriers to data access while ensuring privacy and compliance, allowing product teams to test, iterate, and innovate faster.
Privacy-Preserving Data Access
Securely analyze real customer behavior, preferences, and trends without accessing raw user data. Apply Differential Privacy to ensure sensitive details remain hidden while retaining statistical accuracy.
Seamless Integration with Existing Tools
AGENT works directly with Jupyter Notebooks & SQL, allowing teams to extract insights using familiar workflows. There is no need for complex data anonymization or masking as AGENT automatically enforces privacy protections.
Faster Product Experimentation
Run A/B tests, feature evaluations, and UX research with secure access to real data, while reducing dependency on synthetic data that often lacks real-world accuracy.
Regulatory Compliance & Risk Mitigation
AGENT ensures compliance with GDPR, HIPAA, CCPA, and other data protection laws, along with preventing unauthorized access and data breaches with built-in security controls.
Use Cases: How Teams Benefit from AGENT
Improved Collaboration
Provides off-shore teams and third-party service providers the ability to work on secure data without seeing any of it.
Enhanced Product Development
Allow for quicker iteration by getting highly accurate mock data into the hands of engineers.
Personalization & AI Models
Train recommendation systems and AI-driven personalization engines on privacy-protected data.
Customer Feedback Analysis
Analyze product reviews, support tickets, and survey responses while keeping individual identities private.