Is it Time to Start Investing in Your Business?

Highly focused in frontend digital transformation via the Salesforce platform, we provide quick and easy to implement solutions for originating, decisioning, documenting, and funding leases & loans



Loan Origination System Built on Salesforce


We build custom solutions on the Salesforce platform with over 20+ turnkey apps that can be installed and configured within 2-hours!



All Solutions Pre-Built in Västra's LOS Are Fully Customizable


Working with Västra Consulting, you own your system, licenses, and keep full control over your own data and partnerships. Customize your system as you go without restraint and retain the ability to adapt and grow as new technologies become available to you


Turnkey Apps & Integrations Built on The Salesforce Platform

Västra Salesforce applications are designed for the lending industry. Servicing equipment finance, independent finance, captive finance, banks, credit unions, brokers, and the mortgage industry

 
 

Featured Integrations on Salesforce - Discounted Until March

Västra is discounting our featured integrations until canceled if installed before March 1st, 2026! Ask us about new turnkey apps available now!

 


VC-Middesk Connect on Salesforce: One integration built on the Salesforce platform for business identity verification, KYC/KYB, bankruptcies and litigations, with names, phone numbers, addresses for all. Searching, filing, and releasing liens/UCC's, and OFAC watchlists which includes monitoring for all

VC-PayNet Connect on Salesforce: PayNet Master Score V2 is developed from one of the largest pools of term debt leases and loans ever compiled to predict 90+ days past due. It focuses on the many factors in a borrower’s profile that are most predictive of repayment and offers comprehensive risk management

 


VC-Equifax Connect on Salesforce: 

Evaluate and mitigate your risk by leveraging insights beyond the traditional credit report. Equifax has a next-generation risk score pairing industry-leading, traditional consumer credit attributes with differentiated alternative data sources

 
 
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