Use cases
Inventory
Find every tool, owner, seat, and cost.
Savings
Catch waste, overlap, and renewals early.
Access
Onboard and offboard across your stack.
Context
Map how people, tools, spend, and agents connect.
For
Founders
Protect runway by seeing every tool and cost.
Engineering
Control AI usage, access, and provider spend.
Finance
Reconcile software spend and find waste.
Operations
Keep inventory, access, and renewals current.
Resources & company
Resources
Guides and practical software insights.
Manifesto
Why software operations need a new model.
Press
Company news and media resources.
Partners
Build and grow with ELI.
IntegrationsStacksTools
Talk to a humanDiscover my stack
IntegrationsStacksTools
Discover my stackTalk to a human

Company

  • Home
  • Manifesto
  • Talk to us
  • Partners

Help

  • Terms of service
  • Privacy policy
  • Docs

Product

  • Inventory
  • Savings
  • Access
  • Context

For teams

  • Founders
  • Engineering
  • Finance
  • Operations

Explore

  • Integrations
  • Tools
  • Stacks
  • Startup credits
  • Articles

Socials

  • LinkedIn
  • Instagram
  • TikTok
  • YouTube
Enterprise Layer Intelligence
Categories/Developer Tools/Syntho
Syntho

Syntho

Founded 2020

Generate realistic, privacy-compliant synthetic test data to mimic production databases safely

Pricing model

Paid

Rating

★ People love it

Time to value

Long Setup (> 1 day)

You can use Syntho to create realistic test data without exposing sensitive customer records. It combines data masking, rule-based generation, and artificial intelligence to reproduce the statistical properties and relational integrity of your original databases. You deploy it directly inside your secure infrastructure, connect your databases, and generate custom test sets or mock edge cases for development, testing, and analytics. It also includes an API for automated data generation pipelines, sensitivity scanning to locate sensitive data, and quality reports to check data fidelity.

What Syntho does

Scan databases for sensitive columns and personal dataConnect source and target databases via prebuilt connectorsGenerate rule-based mock records using custom formulasTrain AI models to reproduce relational statistical patternsAutomate synthetic data pipelines using API triggersExport synthetic datasets to staging environmentsCombines data masking, rule-based, and AI-driven data synthesisDeploys directly on private infrastructure to keep data internalScans databases to identify sensitive records and personal informationMaintains referential integrity across relational database tablesGenerates quality assurance reports to verify data accuracyAutomates recurring test data generation jobs using an API

Pricing breakdown

Pricing model: Paid

Frequently asked

PostgreSQL, MySQL, Microsoft SQL Server, Oracle Database, Docker / Kubernetes, REST API, SAP (via custom connectors), Azure SQL

Want a tailored answer?

See whether Syntho fits your stack.

Techbible weighs Syntho against what you already pay for, your team shape, and the work that's actually happening. Free to start.

Side by side

Compare Syntho

Search the catalog or pick a similar tool to compare pricing, features, and fit.

Or pick from similar tools

More in Developer Tools

All tools →
Selenium

Selenium

Automates web browsers for testing purposes.

Supabase

Supabase

Build backends with Postgres databases, authentication, real-time sync, and file storage

Svelte

Svelte

Build fast web applications with compiled user interface components

Algolia

Algolia

Deliver fast, relevant search results and conversational discovery experiences across websites and apps

Boxo

Boxo

Embed miniapps and digital services directly into mobile applications

Entri

Entri

Connect, buy, and monitor custom domains directly inside web applications via API

Hoppscotch

Hoppscotch

Send API requests and test endpoints directly inside your web browser

Magic UI

Magic UI

Build animated landing pages using React, Tailwind CSS, and Motion components

Syntho, synthetic data, test data management, data masking, synthetic mock data, data privacy, database connectors, privacy preserving data, rule-based data generation, machine learning, data subsetting, QA testing, test environment, sensitive data scanning, mock data