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Stickbug is synthetic mortgage loan data infrastructure built for the teams that can't touch real borrower files. Real loan data is locked behind GLBA, state privacy laws, and legal review queues. This means QA teams test with thin dummy files, AI teams train on incomplete corpora, and LOS implementations go live on scenarios that never surface real edge cases. Stickbug eliminates that gap. The platform generates complete, MISMO-aligned synthetic loan packages in the form of structured data (XML, JSON), matched PDFs, and audit-ready metadata. All from domain rules, not from production loan seed data. No real borrower information is ingested, stored, or processed ... ever. Built for: - QA and Compliance teams needing realistic test coverage at scale - AI and OCR teams training models on labeled, structurally consistent loan files - Mortgage technology implementations requiring UAT suites that reflect real product configurations - Compliance teams demonstrating AI governance under GSE 2026 mandates Fully synthetic. Zero PII. No legal exposure.

Website https://stickbug.co/
Employees 2 (1 on RocketReach)
Founded 2026
Industry Software Development

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