This is a fictional test site. Example Company is not a real business — all content (team, customers, pricing, claims) is fabricated for software testing.
The synthetic data platform

Solutions for all your
fake data needs

Example Company generates realistic, privacy-safe synthetic data so engineering, QA, and analytics teams can build and test without touching production records. Trusted by over 1,400 companies to power staging environments, demos, and machine-learning pipelines.

Trusted by teams at

NORTHWIND CONTOSO FABRIKAM INITECH UMBRELLA ACME CORP WAYNE ENT.

Why teams choose Example Company

Our platform produces statistically faithful synthetic datasets across more than 80 industry-specific schemas. Every record is fabricated from scratch — no anonymization, no risk of re-identification, no compliance review required.

Privacy by design

Zero real PII ever enters our pipelines. Generated data passes major privacy and healthcare regulatory reviews out of the box, because nothing in it traces back to a real person.

Production-grade realism

We preserve distributions, correlations, edge cases, and seasonality. Test suites that pass on Example data hold up against production traffic.

Schema-aware generation

Point our SDK at your Postgres, MySQL, BigQuery, or Snowflake schema. We infer relationships, constraints, and value ranges automatically.

Reproducible by seed

Every dataset is deterministic from a 64-bit seed. Bug reproductions, golden-test fixtures, and CI runs become consistent across machines.

Massive scale

Generate up to 10 billion rows per dataset on the Enterprise tier. Stream directly into S3, GCS, Azure Blob, or Kafka topics.

Native integrations

Drop-in connectors for Snowflake, Databricks, BigQuery, Redshift, MongoDB, Postgres, MySQL, dbt, Airflow, Dagster, and Prefect.

By the numbers

A snapshot of Example Company as of Q1 2026.

1,400+
Customers worldwide
42B
Synthetic rows generated daily
80+
Industry-specific schemas
99.98%
API uptime in 2025

How it works

From schema to dataset in three steps.

1. Connect

Install the Example CLI or SDK (Python, TypeScript, Go, Java) and point it at your database, warehouse, or a JSON schema file.

2. Define

Tell us which tables to generate, how many rows, and any constraints (date ranges, business rules, custom faker functions). Save the config to source control.

3. Generate

Run example generate in CI, locally, or on a schedule. Get a reproducible dataset in seconds.

What our customers say

"We replaced a tangled mess of anonymization scripts with Example Company. Our staging environment now refreshes nightly with 120 million synthetic records — and our security team finally stopped asking us scary questions."

— John Doe, Director of Platform Engineering, Northwind Logistics

"Our QA team writes regression tests against Example fixtures instead of cherry-picking production rows. Test flakiness dropped 60% in the first quarter."

— Jane Roe, Staff QA Engineer, Contoso Health

Start generating in under five minutes

Free tier includes 100,000 rows per month. No credit card required.

View pricing