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
Empowering the next generation of CRE leaders
Empowering the next generation of CRE leaders
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
<customizable>
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