The safe-state layer for enterprise AI agents

A safe, production-faithful world for every agent, migration and test

Linked, privacy-safe SAP, database and document data, built inside your environment for every test run, S/4HANA migration and agent evaluation. Test data management, rebuilt for the agent era.
Customers and partners
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Clarity AI logoGoogle Cloud logoDeutsche Bank logoMicrosoft Azure logoUBS logoAccenture logoAWS logoBigID logoNextWave logo
Clarity AI logoGoogle Cloud logoDeutsche Bank logoMicrosoft Azure logoUBS logoAccenture logoAWS logoBigID logoNextWave logo
Why agents stall

Agents change things. Production can't be the test bed.

The missing layer

Agents act on the safe-state layer, never on production

Eval frameworks score what an agent says. Sandboxes isolate the code it runs. Synthesized gives the agent a safe, faithful version of your business to act on.
What is a safe-state layer? →
Where the safe-state layer sits AI agents, test tools and migration programmes act on the Synthesized safe-state layer, which is built inside your boundary from SAP, core banking systems, databases and documents. They never touch production directly. AI agents Joule, Copilot Studio, custom bank agents Test and eval tools Tosca, UiPath, CI/CD, evaluation frameworks Migration programmes ECC to S/4HANA, upgrades, carve-outs SAFE, FAITHFUL STATE ON DEMAND SYNTHESIZED · THE SAFE-STATE LAYER 1 Map what a scenario needs 2 Mask, subset, generate linked across systems 3 Deliver to tests, migrations and evals 4 Keep evidence every run logged, repeatable NO REAL PERSONAL DATA · INSIDE YOUR BOUNDARY · THE SAME CUSTOMER IN EVERY TABLE, DOCUMENT AND SYSTEM READ ONCE, INSIDE YOUR BOUNDARY SAP S/4HANA, ECC, HANA Core banking and insurance systems Databases Oracle, SQL Server, Db2 Documents PDFs, emails, chats SYSTEMS OF RECORD STAY IN PRODUCTION. AGENTS AND TEST TOOLS ONLY EVER SEE THE SAFE LAYER.
Where the safe-state layer sits AI agentsJoule, Copilot Studio, custom bank agents Test and eval toolsTosca, UiPath, CI/CD, evaluation frameworks Migration programmesECC to S/4HANA, upgrades, carve-outs SAFE STATE ON DEMAND SYNTHESIZED · THE SAFE-STATE LAYER 1 Mapwhat a scenario needs 2 Mask, subset, generatelinked across systems 3 Deliverto tests, migrations and evals 4 Keep evidenceevery run logged, repeatable READ IN YOUR BOUNDARY SAPS/4HANA, ECC, HANA Core bankingand insurance systems DatabasesOracle, SQL Server, Db2 DocumentsPDFs, emails, chats SYSTEMS OF RECORD STAY IN PRODUCTION.AGENTS ONLY EVER SEE THE SAFE LAYER.
Three jobs, one layer

Start with the job you already have

Most teams start with one job and add the others later, on the same layer and the same engine.

  • Migrate: S/4HANA without full system copies

    Lean, masked test data for S/4HANA, ECC and the systems around them. Available on the SAP Store.

    S/4HANA migration →
  • Test: Every release, documents included

    Masked, consistent data refreshed from CI/CD for Tosca, UiPath and your pipelines.

    Test data management →
  • Validate agents: A safe world to act in

    The Test Data Agent builds the records, documents and system state each agent scenario needs, on demand, with no real personal data.

    Test Data Agent →
THE SAFE-STATE LAYER

One engine, one set of masking rules and one evidence log for all three jobs.

80% less time to provision test data

Deutsche Bank gave its teams immediate access to safe, production-like data.

Read the Deutsche Bank story →

Selected by the European Commission

Chosen through a public tender, after testing by its Joint Research Centre.

Read the European Commission story →

One test data engine underneath: masking, subsetting and generation

Generate the data production doesn't have

  • Create realistic, referentially consistent records for new features, edge cases and AI agent evaluations, at any volume.
  • Describe what you need in plain language and get the same output for the same input, every time.
Synthesized platform screen for synthetic data generation

Mask personal data by policy

  • Turn GDPR, DORA and HIPAA requirements into masking rules that apply on every refresh.
  • Masked values stay consistent across systems, so joins and end-to-end tests still work.
Synthesized platform screen for data masking

Access the right data, not all the data

  • Give each team a small, consistent slice of production for its tests instead of a full copy.
  • Mask the subset on the way out, so smaller environments are also safe ones.
Synthesized platform screen for database subsetting

One platform for your enterprise databases

Remove the data bottleneck in SAP HANA testing

SAP HANA testing is often slowed down by complex, tightly integrated data that’s difficult to validate without impacting business continuity. Synthesized provides SAP-native test data management and automation to deliver reliable, production-scale data across SAP and non-SAP systems.
  • Deliver production-scale, compliant test data for every testing scenario
  • Validate end-to-end processes across SAP HANA and connected applications
  • Reduce risk and accelerate SAP changes with reliable test data
SAP HANA test data in Synthesized

Stream PostgreSQL database preparation for development and testing

Synthesized brings AI-driven masking, subsetting and generation to PostgreSQL, for application development and testing teams.
  • Automate the creation of databases that closely mirror production environments.
  • Enhance security and compliance by intelligently masking sensitive data, ensuring that personally identifiable information is protected.
PostgreSQL test data in Synthesized

Automate SQL Server test data provisioning

Synthesized optimizes SQL Server development cycles by efficiently identifying performance bottlenecks and data anomalies, crucial for handling large transaction volumes and complex queries.
  • Ensure every possible data scenario is covered by your test data.
  • Identify the "unknown unknowns", to accelerate release cycles and deliver with fewer bugs.
Microsoft SQL Server test data in Synthesized

Automated test data provisioning for Oracle

Synthesized for Oracle databases enhance environments that handle high-volume transactions and complex production pipelines. Minimize downtime and optimize development with the right data, not all the data.
  • Manage complex Oracle-specific data types and relationships with Synthesized automated data generation
  • Intelligent masking for PII risk discovery.
Oracle Database test data in Synthesized

Enhance Salesforce development with privacy-preserving snapshots

Synthesized enables rapid, reliable Salesforce application development with privacy-preserving snapshots for QA and development. Quickly identify and resolve issues, minimizing operational disruptions and enhance application robustness before release, not after.
  • Automated, comprehensive data coverage for any use-case
  • Protect sensitive customer information with AI-driven data masking techniques, ensuring compliance with codified regulatory rules
Salesforce test data in Synthesized
Partners & integrations

Built to work where
you work

Synthesized runs in your environment and plugs into the tools you already use: SAP, UiPath, Tricentis Tosca, your CI/CD pipelines and your cloud marketplace.
OracleJenkinsAWSWhereScapeSnowflakeGoogle BigQueryAmazon RedShiftMicrosoft AzureEC2MySQLCircleCIS3PostgreSQLGitLabWindows ServerGitHub ActionsGoogle CloudBigIDMicrosoft SQL ServerIBM DB2MariaDBSalesforceSAP SybaseGoogle Cloud Storage
Cloud

Create production-like data in your cloud tenant

Buy through your AWS, Azure or Google Cloud marketplace and run Synthesized in your own tenant, so sensitive data stays inside your boundary.
Microsoft Azure
Azure Marketplace
Run our products on Microsoft Azure.
GCP
Google GCP
Run our products on Google Cloud.
AWS
AWS Marketplace
Run our products on AWS.

Talk to a solutions engineer

Book a demo or ask for pricing. We reply within one business day.

From the blog

Continuous testing: Streamline software quality and speed
Data Subsetting: Smaller Test Databases With Integrity Intact
Continuous testing: Streamline software quality and speed
Synthetic Test Data: How to Generate It and When to Use It
Continuous testing: Streamline software quality and speed
Dynamic Data Masking vs Static Data Masking: Which Do You Need?