AI in commercial real estate is usually framed around predictions and pricing.
In brief:
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Underwriting delays come from manual data extraction, not Excel.
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Institutional CRE teams automate the data layer, not the model.
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Parsing rent rolls and T12s is now a scale problem, not a staffing one.
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AI underwriting is being adopted first by lenders and servicers.
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Speed and consistency are emerging as underwriting risk controls.
This Demo Day conversation with Parag Goswami, CEO of Clik.ai, focuses on something more fundamental: how underwriting actually gets done.
The core insight is simple.
The bottleneck in CRE underwriting is not Excel.
It is the manual, error-prone work of pulling data out of PDFs and forcing it into models.
Clik.ai does not replace spreadsheets.
It automates everything before the spreadsheet matters by automating the tedious data input to your Excel model and automating it.
That is why its earliest adopters are institutional lenders, servicers, credit teams, and acquisitions pros.
Add to this automated Trepp comparable data and you have a high-value, early underwriting model to screen deals using your own Excel model.
Bottom line
Clik.ai eliminates friction in the earliest stage of deal evaluation by automating the grunt work of data inputting giving you faster underwriting and a significant competitive edge.
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