🎩 Baruch Sadogursky

AI Developer Tools, Developer Relations and Technical Advocacy

📍 United States🔄 Updated October 2026💼 1 investments📅 4 years investing🗓 Last invested Jan 2022
Angel investor🌍 United States
1
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1
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0
Late stage
4y
Years active

Portfolio

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Investor
Jan 2022
🚀 AI-Powered Test Automation for the Enterprise Synthesized eliminates manual test data bottlenecks, delivering AI-native test infrastructure that enables enterprises to test applications faster, more securely, and at scale. Modern software requires continuous testing, but traditional QA methods are slow, costly, and create compliance risks. Our Agentic AI platform automates test data generation, provisioning, and execution—empowering development and QA teams to accelerate testing cycles while maintaining full regulatory compliance. Why Synthesized? ✔️ AI-Native Test Infrastructure – Fully automated, scalable test data generation across structured and semi-structured enterprise environments. ✔️ Enterprise-Ready – Seamless integration with Snowflake, Oracle, SQL Server, PostgreSQL, Salesforce, SAP, Workday, and more. ✔️ Faster Testing, Lower Costs – Customers see 2x faster test cycles, up to 80% cost savings, and complete test coverage. ✔️ Regulatory Compliance – GDPR, SOC2, HIPAA-ready test data that eliminates compliance risks without slowing down innovation. ✔️ Trusted by Industry Leaders – Used by Deutsche Bank, UBS, the European Commission, and global financial institutions. We are defining the future of AI-driven test automation.
Experience · 3 entries
All (3)
Investments (1)
2023
Principal Developer Advocate
Mar 2023
Gradle Inc. is the company behind the leading software solution for improving developer productivity and happiness called Develocity and the popular open-source Gradle Build Tool, which is downloaded over 30 million times a month. Gradle is also pioneering the emerging practice of Developer Productivity Engineering (DPE). Elite development teams from companies like Airbnb, LinkedIn, Microsoft, Nasdaq, and Netflix, practice DPE to deliver quality software more rapidly at scale. They achieve this by leveraging Develocity’s innovative build and test performance acceleration technologies and analytics to proactively improve the reliability of the developer toolchain and make failure troubleshooting more efficient.
2022
Investor
Jan 2022
🚀 AI-Powered Test Automation for the Enterprise Synthesized eliminates manual test data bottlenecks, delivering AI-native test infrastructure that enables enterprises to test applications faster, more securely, and at scale. Modern software requires continuous testing, but traditional QA methods are slow, costly, and create compliance risks. Our Agentic AI platform automates test data generation, provisioning, and execution—empowering development and QA teams to accelerate testing cycles while maintaining full regulatory compliance. Why Synthesized? ✔️ AI-Native Test Infrastructure – Fully automated, scalable test data generation across structured and semi-structured enterprise environments. ✔️ Enterprise-Ready – Seamless integration with Snowflake, Oracle, SQL Server, PostgreSQL, Salesforce, SAP, Workday, and more. ✔️ Faster Testing, Lower Costs – Customers see 2x faster test cycles, up to 80% cost savings, and complete test coverage. ✔️ Regulatory Compliance – GDPR, SOC2, HIPAA-ready test data that eliminates compliance risks without slowing down innovation. ✔️ Trusted by Industry Leaders – Used by Deutsche Bank, UBS, the European Commission, and global financial institutions. We are defining the future of AI-driven test automation.
2019
Principal Developer Advocate
Aug 2019
Deliver Trusted Software with Speed. The only software supply chain platform to give you end-to-end visibility, security, and control for automating the delivery of trusted releases. The massively scalable, hybrid JFrog Platform is open, flexible, and integrated with all the package technologies and tools comprising the software supply chain. Organizations benefit from full traceability to any type of release and deployment environment including ML models, software that runs on the edge, and software deployed in production data centers.