Evaluate the entire ecosystem

Uplinq focuses on all SMB segments and is the most powerful AI platform in-market today that helps FIs & Fintechs better support the unbanked, minority & immigrant small business owner.

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Data most often used to evaluate small business customers is based on long histories and formal processes.

  • Credit Reports

  • Audited/Unaudited Books 3yrs+

  • Rating Agencies

Our AI-driven model methodology makes full use of these sources but is not dependent on them. Most underserved and unbanked businesses do not have sufficient information to qualify for traditional credit.

Uplinq leverages millions and sometimes billions of data points to present context on each individual business.

Helping you make the right decision

Every small business is unique. Shaped by its people, business model, and the community of suppliers, partners and customers it interacts with every day. To understand the business, you need to see the whole picture. That is something that business financials or off the shelf credit scores can never do.

Helping you make the right decision

Some of the data sources we use to evaluate small business financial performance include...

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  • Government based statistical audits
  • Protective class groups
  • Tax returns
  • Bank statements
  • Property ownership
  • Known real estate assets
  • Property improvements
  • Inventory purchases
  • Supplier references
  • Payrolls
  • Utilities
  • Store traffic
  • Educational accomplishments
  • Business & professional credentials
  • Community involvement
  • Years of operation
  • Peer group benchmarking

By drawing data from many sources...

we can predict opportunities, challenges and interests of each prospect. We always like to have as much data as possible, but the system easily fills in when something is missing. This approach is critical when reaching the underserved, as models produced this way predict well with known confidence ranges.

By drawing data from many sources

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