Label & Analyze Commercial Real Estate Paperwork, In Minutes

Label & Analyze Commercial Real Estate Paperwork, In Minutes

Label & Analyze Commercial Real Estate Paperwork, In Minutes

Save 20+ hours a week with Brixely platform. Streamlined document processing and analysis with purpose-built AI for the real estate industry.

Save 20+ hours a week with Brixely platform. Streamlined document processing and analysis with purpose-built AI for the real estate industry.

Save 20+ hours a week with Brixely platform. Streamlined document processing and analysis with purpose-built AI for the real estate industry.

Label Documents

Analyze Risks

Complete Checklists

Co-Pilot for Real Estate Use Cases

Co-Pilot for Real Estate Use Cases

Co-Pilot for Real Estate Use Cases

Intelligent Document Labeling

Categorizes data rooms in mins using existing checklists and naming conventions

Intelligent Document Labeling

Categorizes data rooms in mins using existing checklists and naming conventions

Intelligent Document Labeling

Categorizes data rooms in mins using existing checklists and naming conventions

Side-by-Side Due Diligence

Finds risks automatically, ask questions, and see source page for 100% accuracy

Side-by-Side Due Diligence

Finds risks automatically, ask questions, and see source page for 100% accuracy

Side-by-Side Due Diligence

Finds risks automatically, ask questions, and see source page for 100% accuracy

Custom Analysis Templates

Auto-generated reports, abstracts, risk analysis etc. specifically from the data

Custom Analysis Templates

Auto-generated reports, abstracts, risk analysis etc. specifically from the data

Custom Analysis Templates

Auto-generated reports, abstracts, risk analysis etc. specifically from the data

Label documents according to your naming conventions

Label documents according to your naming conventions

Label documents according to your naming conventions

Unlock deeper insights by automating data rooms most manual bottleneck.

Unlock deeper insights by automating data rooms most manual bottleneck.

Unlock deeper insights by automating data rooms most manual bottleneck.

Financials

Leases

Rent Rolls

Utility Bills

Insurance

Permits

Legal

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Automated Tagging

Automated Tagging

Automated Tagging

Flagged Missing Documents

Flagged Missing Documents

Flagged Missing Documents

Completed Checklists

Completed Checklists

Completed Checklists

Analyze paperwork smarter with a 24/7 real estate assistant

Analyze paperwork smarter with a 24/7 real estate assistant

Analyze paperwork smarter with a 24/7 real estate assistant

Increase capacity to review more deals that fit the thesis.

Increase capacity to review more deals that fit the thesis.

Increase capacity to review more deals that fit the thesis.

What is the average rent growth?

Do any of the leases expire in the next 5 years?

Provide a rent schedule which outlines the rental rate

Is tenant responsible for maintenance and repair of HVAC?

Type your question here...

What is the average rent growth?

Do any of the leases expire in the next 5 years?

Provide a rent schedule which outlines the rental rate

Is tenant responsible for maintenance and repair of HVAC?

Type your question here...

Ask Brixely AI

Ask Brixely AI

Ask Brixely AI

Assess Risks

Assess Risks

Assess Risks

Generate Reports

Generate Reports

Generate Reports

Streamlined Pre-Closing & Diligence

Streamlined Pre-Closing & Diligence

Streamlined Pre-Closing & Diligence

Investment firms lose countless hours buried in dense leases and data rooms, sifting through endless pages to uncover key details. This painstaking manual review not only delays strategic decisions but also limits the number of deals that can be effectively analyzed—when paperwork piles up and time is short before closing, the risk of missing critical data becomes alarmingly high. Brixely addresses this challenge by streamlining the extraction of essential information, ensuring no vital detail slips through the cracks. As a result, investment teams can evaluate more deals confidently, while asset managers and downstream teams benefit from scalable, data-driven decisions in an increasingly fast-paced market.

Investment firms lose countless hours buried in dense leases and data rooms, sifting through endless pages to uncover key details. This painstaking manual review not only delays strategic decisions but also limits the number of deals that can be effectively analyzed—when paperwork piles up and time is short before closing, the risk of missing critical data becomes alarmingly high. Brixely addresses this challenge by streamlining the extraction of essential information, ensuring no vital detail slips through the cracks. As a result, investment teams can evaluate more deals confidently, while asset managers and downstream teams benefit from scalable, data-driven decisions in an increasingly fast-paced market.

Investment firms lose countless hours buried in dense leases and data rooms, sifting through endless pages to uncover key details. This painstaking manual review not only delays strategic decisions but also limits the number of deals that can be effectively analyzed—when paperwork piles up and time is short before closing, the risk of missing critical data becomes alarmingly high. Brixely addresses this challenge by streamlining the extraction of essential information, ensuring no vital detail slips through the cracks. As a result, investment teams can evaluate more deals confidently, while asset managers and downstream teams benefit from scalable, data-driven decisions in an increasingly fast-paced market.

Automated Loan Document Labeling

Automated Loan Document Labeling

Automated Loan Document Labeling

In many mortgage lending environments, systems like M-Files store hundreds of documents per loan file, yet categorization is still manual—tying up staff for 20–30 hours per file. This invites errors and misclassification, leading to misplaced documents that slow due diligence and audits. Because accurate labeling underpins compliance checks, data extraction, and regulatory reporting, any mistake ripples through the entire loan lifecycle. Consequently, these manual steps hinder scalability, elevate risks, and divert resources from higher-value tasks. When done correctly, firms can focus on high-touch client service, strategic underwriting, and other work people truly enjoy.

In many mortgage lending environments, systems like M-Files store hundreds of documents per loan file, yet categorization is still manual—tying up staff for 20–30 hours per file. This invites errors and misclassification, leading to misplaced documents that slow due diligence and audits. Because accurate labeling underpins compliance checks, data extraction, and regulatory reporting, any mistake ripples through the entire loan lifecycle. Consequently, these manual steps hinder scalability, elevate risks, and divert resources from higher-value tasks. When done correctly, firms can focus on high-touch client service, strategic underwriting, and other work people truly enjoy.

In many mortgage lending environments, systems like M-Files store hundreds of documents per loan file, yet categorization is still manual—tying up staff for 20–30 hours per file. This invites errors and misclassification, leading to misplaced documents that slow due diligence and audits. Because accurate labeling underpins compliance checks, data extraction, and regulatory reporting, any mistake ripples through the entire loan lifecycle. Consequently, these manual steps hinder scalability, elevate risks, and divert resources from higher-value tasks. When done correctly, firms can focus on high-touch client service, strategic underwriting, and other work people truly enjoy.

> 95%

accuracy of outputs

> 95%

accuracy of outputs

22 hrs

rescued per week

22 hrs

rescued per week

10x

productivity gains

10x

productivity gains

Step 1

Get Access

Step 1

Get Access

Step 2

Upload Docs

Step 2

Upload Docs

Step 3

Analyze

Step 3

Analyze

Go further 🎉

Generate

Go further 🎉

Generate

Thanks to Brixely we have identified and solved bottlenecks in our analysis processes, allowing us to manage a greater number of opportunities, while maintaining a high focus on risk mitigation. This step marks an important step for REVVING and for our vision of international expansion, bringing innovation and greater efficiency to our real estate operations.

Thanks to Brixely we have identified and solved bottlenecks in our analysis processes, allowing us to manage a greater number of opportunities, while maintaining a high focus on risk mitigation. This step marks an important step for REVVING and for our vision of international expansion, bringing innovation and greater efficiency to our real estate operations.

Ruggiero di Luggo

Ruggiero di Luggo

Ruggiero di Luggo

CEO & Partner, Revving S.r.l

2025 Brixely Cuesit, Inc. All rights reserved.

166 Geary Street, 15th Floor #32

San Francisco, California 94108 USA

+1 (650) 260-5340

contact@brixely.com

2025 Brixely Cuesit, Inc. All rights reserved.

166 Geary Street, 15th Floor #32

San Francisco, California 94108 USA

+1 (650) 260-5340

contact@brixely.com

2025 Brixely Cuesit, Inc. All rights reserved.

166 Geary Street, 15th Floor #32

San Francisco, California 94108 USA

+1 (650) 260-5340

contact@brixely.com