A joint study from mortgage technology platform Tidalwave and researchers at Columbia University found that Tidalwave’s mortgage-trained AI agent produced more accurate answers to loan underwriting questions than a general-purpose large language model.

The benchmarking evaluated Tidalwave’s SOLO agent against Claude 4.5 from Anthropic on 90 questions commonly asked by loan officers during the mortgage origination process. These included whether payroll matches a stated employer, whether bank statements show buy-now-pay-later payments, and whether deposits may come from foreign sources, among other questions.

Overall, Tidalwave’s SOLO recorded 84% accuracy compared with 71% for Claude 4.5, according to the study.

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