Question 1

Does MBA Technologies use AI to process mortgage documents?

Accepted Answer

Yes. MBA uses a proprietary Structured Language Model (SLM) combined with multi-modal computer vision AI to classify, extract data from, and contextually validate mortgage documents. Unlike simple OCR or regex tools, MBA performs deep analysis — cross-referencing documents within the full order context to detect inconsistencies, missing information, and defects automatically.

Question 2

How fast does MBA process mortgage documents?

Accepted Answer

MBA processes documents in parallel, with an average end-to-end time of under 60 seconds per document. Multiple documents within an order are processed simultaneously. From upload to classified, extracted, validated, and labeled — the entire pipeline completes in minutes, not hours.

Question 3

How is MBA different from other mortgage document automation tools?

Accepted Answer

MBA was built by mortgage brokers who experienced document chaos firsthand. Three key differentiators: (1) Deep contextual validation — MBA doesn't just read documents in isolation, it cross-references them against the full order context, employment history, and banking patterns. (2) Client-facing document collection — MBA focuses on the hardest part of the process: getting complete, correct documents from borrowers through secure portals with intelligent follow-up. (3) The CDEI engine (Classification, Defect Detection, Extraction, Intelligence) uses a Structured Language Model to understand document meaning, not just surface patterns.

Question 4

Can MBA verify income and employment automatically?

Accepted Answer

Yes. MBA's AI extracts employer name, income amounts, pay frequency, year-to-date figures, and employment dates from paystubs, T4s, and employment letters. It then cross-references these across documents within the order — for example, verifying that the employer on a paystub matches the employment letter and that income figures are consistent across sources.

Question 5

What makes MBA's document analysis different from OCR or pattern matching?

Accepted Answer

MBA goes far beyond OCR and pattern matching. Its Structured Language Model (SLM) understands document context — it knows what a paystub should contain, validates that bank statement periods are complete and sequential, detects when a document has been submitted to the wrong category, and identifies defects that simple text extraction would miss. This contextual intelligence means fewer false positives, fewer missed issues, and more reliable automation.

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