NewsStocksCredit Union of Colorado Selects Scienaptic AI's LendSmart Auto to Sharpen Vehicle Loan Pricing

Credit Union of Colorado Selects Scienaptic AI's LendSmart Auto to Sharpen Vehicle Loan Pricing

Author: GlobalfintechseriesΒ·

Key Takeaways

  • β€’Credit Union of Colorado has selected Scienaptic AI's LendSmart Auto platform to replace tier-based rate sheets with deal-level pricing for its vehicle loans.
  • β€’The engine prices each loan based on the individual borrower, the vehicle collateral, and real-time market conditions, meaning similar applications can receive different rates depending on the vehicle financed.
  • β€’LendSmart Auto uses VIN-level vehicle data to assess depreciation curves, regional resale demand, auction recovery projections, and loan-to-value exposure for every deal.
  • β€’The platform incorporates the credit union's target return on assets, along with deal and operations costs, to keep optimized pricing within its established financial parameters.
  • β€’The announcement did not specify a go-live date, leaving the rollout timeline for the new pricing model undisclosed.
Credit Union of Colorado Selects Scienaptic AI's LendSmart Auto to Sharpen Vehicle Loan Pricing

Scienaptic AI, a provider of AI-powered credit decisioning technology, has announced that Credit Union of Colorado has selected LendSmart Auto, an AI-powered auto loan pricing engine, to transform how the credit union prices vehicle loans for its members.

The platform enables Credit Union of Colorado to evolve beyond traditional rate-sheet pricing, which assigns the same rate to all loans within a risk tier, toward a deal-level model that prices each loan based on the individual borrower, the vehicle collateral, and real-time market conditions. In practical terms, the shift replaces a single rate per risk tier with an individual price for each transaction, meaning two applications that appear similar on paper can be priced differently when the vehicles being financed carry different collateral profiles. For members, that makes the specific vehicle a pricing input alongside the borrower's own profile; for the credit union, it ties each quoted rate more directly to the collateral and risk behind the individual deal.

LendSmart Auto integrates vehicle data at the VIN (vehicle identification number) level, enabling granular analysis of depreciation curves, regional resale demand, auction recovery projections, and loan-to-value exposure for every deal. Those measures describe, in effect, how each vehicle's value is expected to hold over time, what comparable cars draw in local resale and auction channels, and how the size of a loan stacks up against the value of the vehicle securing it. The engine also incorporates the credit union's own target return on assets, factoring in deal and operations costs, to ensure that optimized pricing stays within the institution's established financial parameters.

"In a competitive auto market, the rate we quote is often the entire conversation," said Chad Wilcox, Senior Vice President of Lending at Credit Union of Colorado. "A tier-based rate sheet cannot tell the difference between two borrowers who look alike on paper but are buying very different vehicles. LendSmart Auto lets us price each deal on what is actually in front of us, so we can reward strong applications with sharper rates and hold the line where the risk warrants it. That is better value for our members and a healthier portfolio for the credit union."

"Credit Union of Colorado has spent more than 90 years earning the trust of members across the state," said Courtney Mrsny, Chief Customer Officer at Scienaptic AI. "LendSmart Auto brings deal-level intelligence to every vehicle loan, going beyond broad tier assumptions to a clear view of the individual borrower and the specific collateral. We are proud to partner with them and look forward to showing what that precision can do for their portfolio."

The announcement did not specify a go-live date for the platform, leaving the rollout timeline for deal-level pricing at the credit union the next detail to watch.