Mega Capital

From Partial Details to Clear Next Steps

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Early mortgage scenario review is one of the most time-sensitive parts of mortgage operations. Teams often need to make decisions with partial borrower details, multiple program paths, and tight internal timelines before full mortgage underwriting begins.

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To address this, Mega Capital Funding uses Zeitro Strata AI in its day-to-day pre-underwriting workflow.

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At Mega, loan officers and internal support teams use Zeitro Strata AI to determine mortgage eligibility earlier, apply program logic more consistently, and move files forward with clearer next-step guidance.

These decisions follow recurring operational patterns. In practice, Mega Capital Funding applies  Zeitro Strata AI across occupancy and property-use edge cases, reserve and asset documentation rules, contribution and funds-to-close constraints, DSCR eligibility boundaries, borrower/entity structure questions, and transaction-level policy checks.

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What Mega Teams Do with Zeitro Strata AI

• Find eligible programs quickly
  Identify which Mega Capital program fits a borrower scenario without checking guidelines one by one.

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• Find all conditions faster
  Surface the key requirements up front, including FICO, LTV, DTI, DSCR, occupancy, condo eligibility, seasoning, and mortgage insurance limits.

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• Check edge-case scenarios with confidence
  Handle more complex questions such as 2-unit properties, family opportunity cases, self-employed borrowers with less than 2 years, non-warrantable condos, and condotels.

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• Catch documentation and timing requirements earlier

  Flag required follow-up items like tax return proof, loss payee details, refinance timing after mortgage lates, and cash-out waiting periods.

Faster Reviews, Fewer Gaps

By using Zeitro Strata AI in this way, Mega Capital Funding can:

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• Identify eligible programs faster during first-pass scenario review

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• Enhanced Recruiting and Training
  Team size doubled within 6 months, while training time decreased by 90%, enabling new hires to reach productivity quickly.

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• Enhanced non-QM capabilities

  Improved non-QM loan processing with real-time guideline support from GuidelineGPT, reducing reliance on underwriters.

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• Streamlined Loan Processing
  Automated document handling reduced loan processing times by 30% and improved borrower qualification accuracy.‍

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• Massive Cost Savings
  GMCC saved hundreds of thousands of dollars monthly by eliminating redundant processes and automating workflows.

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By partnering with Zeitro, GMCC was able to transform its mortgage operations, improving both efficiency and competitiveness. Zeitro’s AI-driven platform helped GMCC process loans faster, recruit and train LOs more effectively, and navigate the complexities of both conventional and non-QM loans. Even in a challenging interest rate environment, GMCC was able to grow its business and offer superior service to its clients, making Zeitro a crucial part of their long-term success.