Bank Partnerships Validate Synthesized Platform

Landing UBS and Deutsche Bank does more than add logos, it gives Synthesized proof that its product can survive the hardest enterprise buying test, letting developers work with realistic bank data without moving raw customer records into test environments. In banking, that means showing security, privacy, and audit teams that synthetic datasets can plug into existing CI/CD flows, refresh on schedule, and preserve the relational structure needed to test real payment, trading, and onboarding systems.

• These relationships also became strategic capital. Deutsche Bank invested in 2022, UBS Next invested in 2024, and both joined the 2025 Series A. That matters because a bank that buys, diligences, and then invests is signaling that the product cleared internal technical and compliance review, not just a pilot demo.
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• The product fit is concrete. Teams connect source databases, define masking, subsetting, and generation rules in YAML, then push privacy safe test databases into PostgreSQL, Oracle, SQL Server, Snowflake, or flat files. Once those jobs are wired into GitHub Actions or Kubernetes, the tool becomes part of daily release infrastructure.
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• This customer evidence is especially valuable in a market where core generation is getting cheaper. MOSTLY AI open sourced its SDK in 2025, so the harder thing to sell is no longer just making fake data, it is making compliant data operations that large regulated companies will trust inside production adjacent workflows.
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The next step is turning bank credibility into a wedge across other regulated sectors. If Synthesized keeps converting compliance wins into repeatable data workflows, it can expand from financial services into healthcare, telecom, and other environments where software teams need production like data, but legal and security teams will not allow production data to move.