Overview
Synthesized is a test data management (TDM) platform for enterprise software development and QA teams in insurance, banking, financial services, and other regulated industries. The platform automates generation, masking, and provisioning of production-realistic synthetic data, enabling teams to build and test software without exposing real customer records.
The platform addresses a common bottleneck in enterprise delivery: development and test teams cannot safely access production data due to regulations such as GDPR and PCI-DSS, yet manually created or masked datasets are slow to produce and unrepresentative of real conditions. Synthesized generates high-fidelity synthetic datasets on demand using generative AI, expressed as YAML or Python configurations and integrated into CI/CD pipelines. It supports major insurance core systems including Guidewire, Duck Creek, and Majesco, as well as cloud data platforms such as Google BigQuery.
In September 2025, the company raised a USD 20M Series A led by Redalpine Venture Partners, with participation from IQ Capital, Mercia Ventures, Seedcamp, and strategic investors UBS Next and Deutsche Bank. Deutsche Bank reports halving time-to-test-data since deployment; UBS reports a 40% reduction in QA costs. The company plans to grow its team from approximately 35 to 70+ employees over the following year.
Products & Services
Synthesized TDM Platform
An end-to-end test data management platform providing generation, masking, and subsetting of production-realistic synthetic datasets for enterprise software testing.
Key Features
- On-demand generation of datasets tailored to test scenarios using generative AI that analyzes schema relationships and constraints
- Codified masking rules that anonymize sensitive PII for GDPR, PCI-DSS, HIPAA, and other frameworks
- Role-based subsetting for access to relevant data slices, reducing storage costs and data exposure
- LLM-assisted configuration generation from natural language requirements
Target Users: Development, QA, and data engineering teams in insurance, financial services, and regulated industries
Synthesized TDK (Test Data Kit)
A focused test data management tool for database provisioning with automated sensitive data detection and time-slicing capabilities.
Key Features
- Automated detection and classification of sensitive data fields
- Time-sliced data snapshots for consistent test environments
- CLI and API-first design for integration into CI/CD workflows
Target Users: Database administrators and DevOps engineers
Synthesized SDK
An AI-driven data generation library for machine learning and custom datasets.
Key Features
- Python SDK for programmatic dataset generation
- Support for LLM-assisted configuration workflows
- Statistical preservation of distribution properties from source data
Target Users: Data scientists and ML engineers
Synthesized FairLens
A data quality and fairness analysis tool for validating synthetic data integrity.
Key Features
- Distribution analysis comparing synthetic to source data
- Fairness metrics for bias detection in generated datasets
- Integration with the TDM platform for quality gates
Target Users: Data governance and compliance teams
Data as Code
A methodology built into the platform allowing data requirements to be expressed in YAML configuration files or a Python DSL, enabling version control, peer review, and repeatable data provisioning.
Key Features
- YAML and Python DSL for defining data schemas and constraints
- Version-controlled data configurations compatible with Git
- CI/CD integration with GitHub Actions, Jenkins, GitLab, CircleCI, and Apache Airflow
Target Users: Engineering and DevOps teams
At a Glance
- Founded
- 2017
- Headquarters
- London, UK
- Employees
- 51-200
- Funding
- Series A
Category & Focus
- Category
- Data & Analytics
- Subcategories
- Test Data Management Synthetic Data Software Quality Assurance Compliance & Privacy
- Insurance Verticals
- P&C Commercial Life & Annuity Specialty/E&S
- Target Customers
- Carriers, MGAs/MGUs, Brokers
Customers
- **Deutsche Bank** -- Credit Risk Technology team uses the platform for ESG onboarding testing; halved time to find test data; strategic investor
- **UBS** -- Overcame regulatory bottlenecks in test data workflows; 40% QA cost reduction; UBS Next is a strategic investor
- **European Commission** -- Compliant data provisioning across regulated environments
- **Accenture** -- Enterprise-scale deployment
- **Leading global insurance carrier** (unnamed) -- Generated millions of representative test datasets for sharing with third-party vendors; saved 200 person-hours per project
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Last updated: 2026-05-18