How it works
Synthetic attributes to fill the gap in your CRM

Fantix is a federation of companies that pool abstractions of their data. This critical mass of information is the backbone of an easy-to-use application that helps brands train models, gain insights, build targeting audiences, personalize user experiences, and monetize data without selling or compromising it. The best part: no coding is required.

To demonstrate its potential and scalability, Fantix has created two AI models that generate synthetic tabular data: synthetic attributes to populate empty columns, and synthetic panels to add rows to databases.

Join

Choose a turnkey model

Fantix and its partners train GenAI models. To get started you’ll need to configure an API call: in simple terms, you’ll post a few attributes about a user that you would like to know more about, and Fantix will return probabilistic attributes (complete with probability scores).

Customize

Connect your data to enhance the model

Every use case is different: our models are effective but they still have a lot to learn. You can connect your data (or data abstraction) to the Fantix federation to augment the model and mold it to better serve your specific needs.

Data Abstraction

Easy, Secure, private by design

Abstractions are anonymous, aggregated, irreversible representations of data sets. They are generated locally in your system so that no user level information ever leaves your servers. Your data is safe because we don't transmit or transfer it anywhere.

Tribes

Chose one or more tribes to collaborate

Machine Learning works better in clusters: we call them tribes. Each tribe has a stated purpose (like train models or build targeting audiences for a specific industry): you can join as many as you like. Tribes aren't siloes -- your activity won't be fenced into them -- but they help you find specific opportunities for collaboration.

Let's Collab!

May We Wow You with a Demo?

Fantix powers data-driven but data-less collaborations that protect consumer privacy and business confidentiality.