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Description
Automated underwriting empowers Commercial Real Estate Brokers, as well as CRE investors and lenders, to quickly access projected cash flow information within minutes. This process is essential for assessing the financial risks and potential profitability associated with a property. Thanks to advancements in Artificial Intelligence (AI) and Machine Learning (ML), the tedious tasks of document parsing and calculations that real estate analysts traditionally face are streamlined through automated underwriting solutions. OS/Rent Roll extraction, along with underwriting and workflow automation software, can operate at speeds and cost efficiencies that are ten times better than previous methods. By significantly reducing the hours spent on manually extracting financial data from operating statements, rent rolls, and trailing statements, industry-standard loan models can now be prepared swiftly. Users can conveniently upload various documents in any format, with the assurance that their uploaded files will be securely stored in a personal data vault. The Clik engine processes these documents and extracts vital financial information in mere seconds, boasting an impressive accuracy rate of over 99%. This level of efficiency not only enhances productivity but also empowers users to make informed decisions faster than ever before.
Description
Accelerate the sourcing, screening, and underwriting of multifamily commercial real estate (CRE) transactions with enhanced assurance through Evra by GeoPhy. This platform equips CRE experts with essential data and insights to evaluate the desirability, stability, and potential risks of various properties, their tenants, and the local environment. Evra offers a high degree of flexibility alongside the most detailed data and analytics accessible in the industry. Users can access specific property information as well as broader context regarding metropolitan, submarket, and neighborhood factors. It allows for ongoing pre-underwriting of properties, helping to identify the most promising investment opportunities in real-time across different markets. Furthermore, its workflow integration streamlines the underwriting process, enhancing efficiency through a micro-applications framework. With the ability to swiftly assess the risk or potential of multifamily assets, users can analyze aggregated tenant credit scores, projected incomes, delinquency rates, and additional metrics. This comprehensive approach ultimately empowers CRE professionals to make more informed decisions in a rapidly changing landscape.
API Access
Has API
API Access
Has API
Integrations
Microsoft Excel
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Clik Technologies
Founded
2017
Country
Canada
Website
clik.ai/
Vendor Details
Company Name
GeoPhy
Founded
2014
Country
Netherlands
Website
geophy.com/evra/
Product Features
Lease Management
Billing & Invoicing
Commercial Leases
Contact Management
Landlord Database
Lease Classification
Portfolio Management
Property Management
Residential Leases
Retail Leases
Sublease Management
Tenant Database
Loan Origination
Amortization Schedule
Audit Trail
Closing Documents
Compliance Management
Customer Database
Digital Signature
Document Management
Fee Management
Loan Processing
Online Application
Product Features
Commercial Real Estate
Brand Management
CRM
Cash Flow Analysis
Critical Date Alerts
Deal Management
For Appraisers
For Brokers
For Investors
For Property Managers
Portfolio Management
Strategic Planning