Defensible AI for high-stakes mortgage workflows.
Modern AI can extract data fast, but it earns trust where auditability and defensibility matter most. We built E3 for mortgage quality control, where every data point and decision must withstand downstream scrutiny.
Why E3 exists
Mortgage QC is evolving from a manual compliance process into a transaction-critical intelligence layer. riTara.ai was built to enable that transition, turning quality control from a labor-heavy bottleneck into defensible, evidence-backed validation that reduces repurchase exposure, improves audit readiness, and scales without linear headcount.
Our mission
Transform mortgage files into structured, intelligent, transaction-ready data, without sacrificing explainability, auditability, or control.
Founders
Shilpa Shah
A seasoned technology product leader with 25+ years building and scaling enterprise software across global companies and government agencies. She brings deep expertise in Gen-AI, digital transformation, and customer-centric product development, with leadership roles at Amazon, Deloitte, and U.S. federal agencies, plus a foundation in computer science and an MBA in data analytics.
Shailesh Bhujbal
For nearly three decades he has built first-of-kind document and data platforms at moments of scale across GE, the United Nations, Fannie Mae, AWS, and Amazon, turning documents into trusted, decision-grade systems in highly regulated environments. riTara.ai is the culmination of that arc.