Syntho
Platform for generating realistic synthetic test data while preserving data privacy using masking, rule-based, and AI-generated methods
- Also known as
- syntho
Available worldwide
What is Syntho?
A platform for generating synthetic test data using multiple methods including data masking, rule-based generation, and AI-powered approaches, designed to create privacy-preserving data that mimics real-world scenarios without exposing sensitive information.
Syntho pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Feature-based annual licensing with no consumption charges
Basic
- Rule-Based Synthetic Data
- QA Report
- Sensitive data Open Text Scanner
- 1-2 Database Connectors
- Small deployment package
- Support included
Standard
- All Basic features
- 1-5 Database Connectors
- Medium deployment package
- Support included
Ultimate
Contact sales- All current and future features
- 1-8 Database Connectors
- Support included
Syntho Engine Self-Hosted
Contact sales- Self-hosted or on-premise deployment
- Full platform access
- Support included
What Syntho does
The capabilities that matter for synthetic data, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Generation method
- Rule based
- Relational integrity
- ✓
- Differential privacy
- -
- Privacy risk scoring
- -
- Fidelity utility reporting
- -
- Masking included
- ✓
- Deployment
- Self host
- Open source
- -
- Ci cd integration
- -
- Industry focus
- Horizontal
- SOC2
- -
- HIPAA available
- -
- Pricing model
- Subscription
Platform & deployment
Independently observed- Web
- Linux
- On-premise
- Air-gapped
- Self-hosted
Integrations (4)
Independently observed- PostgreSQL
- SQL Server
- Azure Data Lake
- Amazon S3
Syntho FAQ
Common questions about Syntho, answered from independent, dated evidence.
What is Syntho?
A platform for generating synthetic test data using multiple methods including data masking, rule-based generation, and AI-powered approaches, designed to create privacy-preserving data that mimics real-world scenarios without exposing sensitive information. It is indexed under Synthetic Data.
Source: https://www.syntho.ai/pricing/
How much does Syntho cost?
Syntho does not publish its prices. Pricing is quoted on request, across 3 plans (Basic, Standard and Ultimate), so the figure depends on your seat count and requirements. We record this as a pricing-transparency signal rather than guessing a number. Pricing changes often, so verify at source before relying on it.
Source: https://www.syntho.ai/pricing/
What platforms does Syntho support?
We have confirmed browser-based access to Syntho. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.
Source: https://www.syntho.ai/pricing/
Can Syntho be self-hosted?
Yes. Syntho can be deployed on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://www.syntho.ai/pricing/
What does Syntho integrate with?
We have confirmed 4 integrations for Syntho, including PostgreSQL, SQL Server, Azure Data Lake and Amazon S3. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://www.syntho.ai/pricing/
Where is Syntho available?
Syntho is available worldwide. The vendor is headquartered in the Netherlands.
Source: https://www.syntho.ai/pricing/
Syntho alternatives
Other synthetic data we track, ranked by the same independent score.
- Tonic.aiSynthetic data generation platform for accelerating development and testing without exposing sensitive production datahigh · 75%
- YData SyntheticA data platform for creating privacy-compliant synthetic data to improve machine learning model qualitylow · 35%
- K2viewData integration platform that applies privacy controls and governance to enterprise informationlow · 35%
- SarusRepository of classical machine learning models built with TensorFlow and Keraslow · 12%
- MOSTLY AISecure access to production data with privacy-protected synthetic data generation for teamslow · 5%
- AindoGenerate evidence and insights from artificial data while maintaining privacy and securitylow · 37%
Compare Syntho
Side by side against other synthetic data, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Syntho, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 55 | 0.05 | 3.0 | ✓ |
| Capabilities | 46 | 0.04 | 1.7 | ✓ |
| Integrations | 20 | 0.04 | 0.9 | ✓ |
| Price level | 0 | 0.04 | 0.0 | - |
| Reliability | 0 | 0.07 | 0.0 | - |
| Security posture | 0 | 0.12 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 63% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Deployment: self_host · Pricing model: subscription · Industry focus: horizontal · Masking included: Yes · Generation method: rule-based · Relational integrity: Yes | mediumsource · 2026-09-21 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 4 | mediumsource · 2026-09-21 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: NL · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-20 · 75% |
Pricing
Is Syntho the right choice for you?
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