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Fantix is not a data cleanroom. We aim to replace data clean rooms in use cases where probabilistic, synthetic data is nearly as good (or better) than real-world data: by removing the risk of transmitting real user-level data, Fantix can make clean rooms un-necessary in many use cases.

Fantix only ever collects hashed emails (HEMs). Our models are otherwise trained on the premises of the original data owners and no PII other than HEMs is ever transmitted or stored by Fantix.

Synthetic data is artificially generated information that mimics real-world data characteristics. It serves as a privacy-conscious, scalable, and customizable alternative for UX personalization, targeting, and product development without using actual, potentially sensitive, data.

Four reasons: it's 100% privacy-safe because it does not contain PII of any kind; it's accurate because AI is trained on many real world data sets and learns how to debias; it's current because it can be updated frequently; it's scalable, both easier and faster to deploy and not bound by the size of a specific real world data set.

CRM data enrichment is the process of adding, enhancing or refining data in a Customer Relationship Management (CRM) system with additional information from an external data source.

No. Fantix is an AI platform for marketing data science. We train models that support predictive analytics, market research, audience enrichment, etc.

Data abstraction is the creation of a simplified representation of the information in a database: by representing its essential, aggregated features while hiding unnecessary user-level details, data abstraction protects the privacy and confidentiality of data while preserving a machine’s ability to learn from it. Abstractions are anonymous, aggregated, irreversible representations of data sets. The Fantix app generates them locally in your system or cloud instance so that no user level information ever leaves your servers. Your data is safe because we don’t transmit or transfer it anywhere.