Crosshatch provides an API-driven identity layer that aggregates a user’s consented data from multiple services into a unified, privacy‑preserving profile. Developers can request specific data points through standardized endpoints without handling raw data, enabling AI applications to deliver context‑aware, personalized experiences while maintaining granular user consent and compliance. The platform offers end‑to‑end encryption, token‑based access controls, and auditable logs to ensure data security and regulatory compliance.
Funding
$2.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
5OVGFounders
Product
Problem
Internet users’ personal data is scattered across many services, and existing identity solutions either expose that data to third parties or lack the flexibility to support emerging personalized AI applications. This fragmentation hampers developers who want to build AI experiences that are truly tailored to an individual while respecting privacy.
Solution
Crosshatch offers an API-driven identity layer that aggregates a user’s consented data from disparate sources into a unified, privacy‑preserving profile. The platform acts as a “Plaid for personalized AI,” allowing developers to request specific data points through standardized endpoints without handling raw data themselves. Users retain control via granular consent settings, and all data exchanges are encrypted and auditable. By abstracting data integration, Crosshatch enables AI services to deliver context‑aware experiences—such as personalized recommendations, adaptive interfaces, or custom content generation—while minimizing privacy risk.
Target Audience
Crosshatch is aimed at developers and product teams building personalized AI applications, as well as platforms that need a secure, consent‑driven user identity layer for delivering tailored experiences.
Features
- Unified API that normalizes data from multiple accounts (social, fitness, finance, etc.) into a single user profile
- Fine‑grained consent management UI letting users approve or revoke access to individual data categories
- End‑to‑end encryption and token‑based access controls to ensure data is never exposed to unauthorized parties
- AI‑agnostic design with SDKs for popular languages, enabling seamless integration into any generative or predictive model
- Real‑time data synchronization with source services via webhooks and periodic refreshes
- Auditable logs and compliance reports to support GDPR, CCPA, and other privacy regulations