Sensitive data.
Generate accurate and private synthetic data on demand. Make your data privacy compliant — empower everyone, compromise nothing.
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Our state-of-the-art API
does the heavy lifting.
With just a few lines of code, you can generate synthetic datasets on demand — backed by well-documented endpoints developers love.
curl
curl -X POST https://api.getsimula.com/synthesize \
-H “Authorization: Bearer YOUR_API_KEY” \
-H “Content-Type: application/json” \
-d ‘{
“source”: “customer_data.csv”,
“type”: “tabular”,
“privacy”: “high”,
“records”: 10000,
“validate”: true
python
import simula as sm
client = sm.Client(api_key=”YOUR_API_KEY”)
synthetic_data = client.synthesize(
source=”customer_data.csv”,
type=”tabular”,
privacy=”high”,
records=10000,
validate=True
)
print(f”Quality: {synthetic_data.report.quality}”)
print(f”Privacy: {synthetic_data.report.privacy}”)
Tabular Data Synthesis
Generate structured datasets with the same statistical properties as your real data.
Time Series Generation
Create synthetic time series data that preserves temporal patterns and seasonality.
Transformations
Convert data formats and apply privacy-preserving transformations to raw data.
Simple. Predictable. No surprises.
Our pricing is built for clarity. No hidden fees, no overages, and no guessing games — straightforward rates that scale with you.
Try synthetic data generation.
Start with the fully-featured free tier, then pay for only what you use as you grow. Want to share with your team? Discover our other plans.
Team
Build synthetic data and privacy engineering into your development process.
€ 295,-/month + € 2,20/credit
→ 10 concurrent jobs
→ 99.5% API availability SLA
→ 1 business day email support
→ Custom SSO support
→ Pool credits with your team
Enterprise
Standardize synthetic data and privacy engineering across your enterprise.
Let’s talk
→ 20 concurrent jobs
→ Hosted environment on AWS
→ 24/7 phone and chat support
→ Dedicated onboarding
→ Data consultancy
FAQ
This quick guide explains everything you need to know — from how credits are calculated and how much compute they buy.
What is a credit?
A credit is a simple unit measuring API call duration for cloud or local compute. 1 credit is equal to 5 minutes of cloud or local API duration.
How are credits calculated?
Credit usage is based on the duration from the time you issue an API call until the point your tasks terminate, rounded up to the nearest minute. Each minute of API duration bills as 1/5th of a credit for cloud or local compute.
Do credits roll over?
The free credits included in your subscription are reset each month and do not roll over.
What if I go over my developer-tier free monthly credits?
If a customer has not entered credit card information, their service use will be suspended after the free monthly credits have been used. Once a credit card is provided, usage will be metered and the customer will be charged for the total number of credits consumed at the end of a month.
How much data can an Simula worker instance process per credit?
This answer varies based on the complexity and type of data. On a typical CSV dataset containing 156 characters per record and a mix of numeric and categorical data, a Simula cloud instance is able to synthesize approximately 6k records per credit, including training. A Simula cloud instance can transform approximately 133k records per credit, or classify 133k records when using a standard policy to redact or label personal data types.
How many Simula worker instances can I run concurrently?
Simula’s cloud and local on-premises workers are built to scale linearly, so you can scale concurrent containers to meet your needs. By default, each Developer account is limited to 2 concurrent workers (4 when a credit card is added), and Team accounts are limited to 10 concurrent workers. These limits are applied across the entire account and are not per user.