---
schema: 1
type: term
title: Synthetic data
description: >-
  **Synthetic data** is artificially generated data. In this channel's material,
  it is used to populate simulated organizations so that agents can be
  stress-tested against realistic business scenarios before being deployed to
  customers [^50a3b3fa-9ad2-59a3-9c76-ddfe74635066@676].
canonical: >-
  https://liquidgold.cc/channel/everyinc/explore/term/synthetic-data-03726b19cace
markdown: >-
  https://liquidgold.cc/channel/everyinc/explore/term/synthetic-data-03726b19cace.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# Synthetic data

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/synthetic-data-03726b19cace

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

**Synthetic data** is artificially generated data. In this channel's material, it is used to populate simulated organizations so that agents can be stress-tested against realistic business scenarios before being deployed to customers [^50a3b3fa-9ad2-59a3-9c76-ddfe74635066@676].

In this channel's material, **synthetic data** appears in the context of testing enterprise agents before they reach customers. In the Salesforce interview, Silvio Savarese explains that his team builds **simulated organizations** populated with synthetic data in order to **stress-test agents** — evaluating how agents behave in realistic business scenarios before deployment, while acknowledging that closing the gap between simulation and reality remains open work [^50a3b3fa-9ad2-59a3-9c76-ddfe74635066@676].  ## Stress-testing agents with simulated organizations Savarese decomposes an agent into **memory**, a **brain** (reasoning engine), **actuators** (API and function calls), and an **interface**, and argues an agent without connected data and context is useless [^50a3b3fa-9ad2-59a3-9c76-ddfe74635066@220]. Synthetic data is one of the tools used to explore that behavior safely: - Simulated organizations provide a controlled environment where agents can be exercised against realistic enterprise conditions. - Stress-testing with synthetic data lets the team understand agent failures — including **jagged intelligence**, where models prove theorems yet fail at common-sense business tasks — without risking real customer systems [^50a3b3fa-9ad2-59a3-9c76-ddfe74635066@485]. - The **reality gap** between simulated and real deployments is, in Savarese's telling, still open work [^50a3b3fa-9ad2-59a3-9c76-ddfe74635066@676].   - Synthetic data, in this material, is generated data used inside simulated organizations to stress-test agents. - It connects to Savarese's broader point that enterprise AI struggles with siloed, poorly connected data [^50a3b3fa-9ad2-59a3-9c76-ddfe74635066@342]. - Simulation-based testing is presented as a work in progress: the gap to real-world performance is not yet closed [^50a3b3fa-9ad2-59a3-9c76-ddfe74635066@676].