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Syntho

Synthetic data platform combining AI generation, rule-based synthesis and smart de-identification.

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About

Syntho is a synthetic data platform that combines AI-generated data, rule-based generation and smart de-identification in one product. It targets regulated teams that need production-like data without exposing real records: sensitivity scanning to find PII, synthetic mock data to replace it, consistent mapping that preserves referential integrity, and test-data management with subsetting for non-production environments.

The platform deploys inside the customer's own cloud or on-premises environment so data never leaves their boundary, and it supports time-series synthesis, upsampling and QA reporting on accuracy and privacy. Pricing is quote-based across Basic, Standard and Ultimate tiers. Caveat: public pricing and independent benchmarks are thin, so evaluate fidelity and privacy guarantees on your own data during a trial.

What it can do

  • AI-generated synthetic data mimicking statistical patterns
  • Rule-based synthetic data with 150+ mockers
  • PII scanning and smart de-identification
  • Referential-integrity-preserving test data management
  • In-environment deployment with no data exfiltration

Setup

Book a demo; Syntho handles planning and deployment inside your cloud or on-premises environment.

Prerequisites

Source database access; internal environment for deployment.

Use cases

synthetic-datatest-datadata-privacyai-training

Works with

ml-engineersdata-teamsqa-engineers

Trust score — 6/10

/10 trustMetrics-checked

Scored 6/10 (metrics tier, metrics-v1). Evidence: Strengths: active product (platform update published ~Sep 2026), in-customer-environment deployment, combined AI/rule-based/masking methods; third-party synthetic-data roundups list it among established vendors; Docked for: (1) no public pricing; (2) thin independent benchmarks; (3) smaller funding footprint per third-party data. Manual review: caveat on pricing and benchmarks noted in entry. License: proprietary (quote-based; Basic/Standard/Ultimate tiers per third-party listings).

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
6.0/10
Maintenance · recency, releases, issue load
7.0/10
Openness · license + docs
4.0/10
Manual review · sanity read + red-flag check
6.0/10
  • · Strengths: active product (platform update published ~Sep 2026), in-customer-environment deployment, combined AI/rule-based/masking methods
  • · third-party synthetic-data roundups list it among established vendors
  • · Docked for: (1) no public pricing; (2) thin independent benchmarks; (3) smaller funding footprint per third-party data
  • · manual review: caveat on pricing and benchmarks noted in entry

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.