Crosshatch

Crosshatch is the internet’s first personalized inference provider. It lets users share their preferences and history in a tap, enabling you to deliver personalized experiences with complete context. The goal is to create the most relevant, powerful personalization by going beyond basic CDP data and tapping into user context for real time, adaptive experiences across every touchpoint.

Key concepts include private data integrations, real time context updates, and a focus on privacy, security, and consent. The platform emphasizes instant onboarding, extensive sitewide customization, and the ability to evolve experiences as user context changes. It supports transforming first party data into personalized inferences using your preferred AI models while maintaining privacy controls and consent settings.

How it works in practice

• Create personalized experiences by sampling user context and transforming it with your favorite AI models.
• Integrate user data in a private, consent-aware manner to deliver adaptive recommendations and content.
• Listen for changes in user context across apps via webhooks to act in real time, such as offering new recommendations when a schedule opens up.

Security and privacy

• Users manage what content and information they share, enabling enterprise-grade data security and intuitive consent controls.
• The platform emphasizes privacy by design, ensuring that personalization uses user context while respecting permissions and data governance.

Core capabilities

• Private integration of user-shared data into AI workflows without exposing raw data broadly
• Real-time context updates and adaptive experiences across channels
• Fine-grained permission settings and consent management for users
• Webhooks to trigger timely AI-powered actions based on context changes
• Easy startup: instant onboarding and minimal configuration to begin building personalized experiences
• Sitewide customization to tailor experiences on every page
• Data security and privacy controls aligned with enterprise needs
• Compatibility with a variety of AI models to generate personalized inferences

Usage notes

• Designed for developers and product teams who want to ship personalized experiences at scale while preserving user trust and compliance. This tool focuses on private, first-party data usage to power adaptive solutions rather than relying on third-party tracking.
• Documentation and resources are available to help integrate APIs, set up webhooks, and configure consent flows.

What you get

• A personalized inference gateway that translates user context into structured AI responses
• Tools to manage data sharing, consent, and privacy across applications
• Guidance on implementing dynamic, real-time personalization strategies

Disclaimer: The content emphasizes privacy, consent, and responsible data usage. Always ensure users are informed about data collection and personalization practices and obtain appropriate consent where required.