Synthesized

Synthesized provides an AI-powered test data infrastructure platform designed for enterprises to automate and accelerate software testing. Founded in 2017 by Nicolai Baldin and Denis Borovikov, the London-based company aims to resolve the bottlenecks in traditional Quality Assurance (QA) processes where obtaining realistic and compliant test data is a significant challenge. Founder and CEO Nicolai Baldin's background in machine learning and statistics, including collaborations with financial institutions and the NHS, highlighted the difficulty in accessing quality test data due to compliance barriers, which sparked the idea for the company.

The company operates on a B2B SaaS business model, primarily targeting development and QA teams in highly regulated industries such as finance, insurance, and healthcare. Its revenue is generated through software licenses based on data processing volumes and database sizes, employing a usage-based pricing structure. Strategic investors and clients include major financial institutions like Deutsche Bank and UBS, which use the platform to improve their software delivery cycles.

Synthesized has secured significant funding, including a $2.8 million seed round in March 2020 and a $20 million Series A round in September 2025. These funds are intended to fuel expansion into North America and Europe. The platform's core technology uses a high-dimensional machine learning engine to generate synthetic datasets that mimic the statistical properties and complex relationships of original production data without exposing sensitive information. This allows organizations to create privacy-compliant, realistic data for testing, development, and analytics. The platform integrates with a wide range of enterprise systems, including Snowflake, Oracle, SAP, and Salesforce, and can be deployed in cloud environments like Google Cloud. Key features include automated data masking, subsetting, and generation, which help companies accelerate release cycles, reduce costs, and ensure compliance with regulations like GDPR and HIPAA.

Keywords: AI-powered testing, synthetic data generation, enterprise software, test data automation, QA solutions, DevOps, data privacy, compliance, financial services technology, software testing, data provisioning, AI-native infrastructure, application testing, data masking, database generation, continuous testing, CI/CD integration, regulatory compliance, quality assurance automation, test data management.