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Synthesized

Synthesized is an AI-native test data management platform. It masks, subsets and generates production-like test data for enterprise applications, databases and documents, delivers it on demand into test automation and CI/CD, and builds realistic, resettable environments for testing and training AI agents, so teams test on realistic data without exposing personal data. Synthesized calls this the safe-state layer for enterprise AI agents: production-faithful, privacy-safe data and system state tha

For agents: AI-native test data platform that masks, subsets and generates production-like data and builds resettable environments for testing and training AI agents.

test-data-managementdata-maskingsynthetic-dataai-agent-testingsap-migrationci-cd

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T12:11:10.047Z. Cached copy · Source on synthesized.io

# Synthesized

> Synthesized is an AI-native test data management platform. It masks, subsets and generates production-like test data for enterprise applications, databases and documents, delivers it on demand into test automation and CI/CD, and builds realistic, resettable environments for testing and training AI agents, so teams test on realistic data without exposing personal data. Synthesized calls this the safe-state layer for enterprise AI agents: production-faithful, privacy-safe data and system state that AI agents, tests and migrations act on instead of production.

## Overview

Synthesized automates test data provisioning for QA, test data and DevOps teams in regulated enterprises: banks and insurers, utilities, healthcare and life sciences, telecoms and the public sector. It connects to production sources, finds personal and sensitive data, masks it consistently across systems, cuts datasets down to the records a test needs while keeping relationships intact, and generates synthetic records where real ones are missing.

Test data is delivered on demand to manual testers, test automation (UiPath Test Cloud, Tricentis Tosca) and CI/CD pipelines, and refreshed for every test cycle instead of copying all of production.

For SAP, Synthesized builds masked, right-sized test data for S/4HANA, ECC and connected systems from outside SAP, with nothing installed in SAP. Synthesized for SAP is available on SAP Store.

Synthesized also masks unstructured data: documents, emails, chats, transcripts and free-text fields, with the same masking policy as the databases they sit beside, inside the customer's own environment. Database masking and synthetic data generation are self-serve in the product; document masking is delivered engineer-led on the same platform.

For AI agents, Synthesized provides the safe-state layer as realistic, resettable environments: masked or synthetic SAP, CRM, document and message data, with the same starting point on every run. The Test Data Agent and TDM for SAP are generally available. SAP RL environments for training agents are in early access.

Synthesized runs inside the customer's environment: on-premises, in private cloud, hybrid or air-gapped. No production data is sent to Synthesized.

Company facts: founded in 2020 by Nicolai Baldin and Denis Borovikov. Headquartered in London (Synthesized Ltd), with a US company, Synthesized Inc., and an office in New York. Available on SAP Store, AWS Marketplace and Google Cloud Marketplace. Named a Gartner Cool Vendor in 2021.

## The safe-state layer

A safe-state layer gives AI agents, tests and migrations a production-faithful version of the business to act on: the linked records, documents and system configuration of real systems such as SAP and core banking, without exposing production or personal data.

AI agents don't just read data. They post invoices, update customer records and approve payments, so they change state. A safe-state layer lets them do that against realis
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Claim my listing on Agent Web Map for synthesized.io:
1. POST https://agentwebmap.com/v1/sites/synthesized.io/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://synthesized.io/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/synthesized.io/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/synthesized.io).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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