Wine assistant

Trust Layer | by Assenteo

By:Epigone

Issued: 2025-09-27

This certificate summarizes the information Epigone has provided about Wine assistant and its data usage.

To learn whether Epigone meets additional AI governance standards, contact us here.

Wine assistant

Product Name

Epigone

Company

Sep 2025

Certificate Issued

Product Overview

Purposes & Use Cases

No purposes defined

AI Model

2 different models for different purposes

Models by purpose:

help users buy wine:Open AI GPT-4

Help users find wine:Proprietary model

Certificate issued: 2025-09-27

Last updated: 2025-09-27

Purpose Analysis

No purposes defined for this product.

Trust & Safety

Answers to key questions about data usage, privacy, and safety practices.

What can users set preferences on?

Selected practices:

To train and improve models

Available options (for reference):

To train and improve modelsAny user can opt outOpt out only possible for enterprises

About the Company

This product is offered by Epigone. View their full certificate for complete company information.

Epigone

Logistics and Warehousing (specialized in wine storage)

Carcassonne, Aude, Languedoc Roussillon, France

Founded 1999

Product Focus

Epigone provides tailored logistics and storage solutions, specializing in the management and storage of conditioned wines, with a suite of services from order preparation to delivery.

View full company certificate

How is customer data used to improve your product?

Selected practices:

We provide a tier where customer data is not used to train our models

All customer data is used to train our models

Available options (for reference):

Customer data is not used to train our modelsAll customer data is used to train our models We provide a tier where customer data is not used to train our models

How would you currently explain an unexpected or harmful model output?

Selected practices:

We log prompts and responses so we can review input vs. output

Available options (for reference):

We log prompts and responses so we can review input vs. outputWe analyze patterns in the model’s responses across similar casesWe apply post-processing rules or filters to detect or block unsafe outputsWe involve a human in the loop for review or escalationWe use structured or templated prompting to reduce unpredictability

Wine assistant

Product Overview

Purposes & Use Cases

AI Model

Purpose Analysis

Trust & Safety

What can users set preferences on?

About the Company

Epigone

Product Focus

Why do you share collected data with third parties?

How is customer data used to improve your product?

How would you currently explain an unexpected or harmful model output?

Summary

Target Users