Our Customers are Disrupting the Industry
Explore what’s possible with Provenir’s credit decision tools.
tbi bank is a mobile-first challenger bank in South East Europe and regional leader in alternative payment solutions.
SoFi benchmarked the project alongside its previous DevOps effort with its in-school college loan application. As a result of building out new automation and leveraging low code/no code technology enabled processes via the Provenir platform, SoFi was able to complete the project and go live in a shorter timeframe (within 10 weeks).
BBVA wanted scalable decisioning technology to power its SME and commercial business lines and deliver the best possible customer experience. Provenir was the leading choice.
To support its ambitious growth plans to operate across Nigeria, Carbon needed a more flexible decision engine solution to manage their credit policies, scorecards, pricing and decisioning.
One of the few female-led fintechs in the UK, AskIf is a business with a mission to deliver loans to small, credit-worthy businesses unable to secure funding from mainstream lenders, financing the £1.5bn+ annual gap that exists for SMEs in the UK.
BNPL provider Klarna needed to replace legacy technology with real-time risk decisioning and business analytics designed to keep up with shopper demand. Provenir provided the framework to get there.
GM Financial wanted to bring new auto lending and leasing products to market more quickly, paving the road for smoother loan origination processes. Provenir was there to help.
After several acquisitions and plans to enter the Danish market, Resurs Bank wanted a risk decisioning solution with growth potential. And that’s what Provenir gave them.
Bigbank needed better credit and lending products that led to better customer experiences. That meant leaving outdated technology behind for a unified platform. That’s where Provenir came in.
For RAC, the deciding factor in Provenir’s favor was its usability. The RAC team also liked that visual testing is available, eliminating the need to deploy models in a test environment.
Doruk Faktoring’s mission is to expand their portfolio of corporate clients by serving micro and mid SMEs and to provide the fastest and easiest faktoring solutions using digital channels and analytics solutions.
Pinjam Modal wanted to assess loan applicants more accurately using traditional and alternative data. Enter Provenir AI’s predictive scoring model.
“We have deep insight into every application and contract as we can instantly get real-time information whenever we need it.”Jeff Lively, VP of Dealer Services, GM Financial
“The flexibility of Provenir allows us to create our own risk decisioning workflows that can easily connect with any data source.”Andy Dodd, Managing Director, Novuna Capital
CEO, Dun & Bradstreet
“Provenir plays a vital role in navigating this balance between compliance and speed, because it gives us the ability to orchestrate all of our scoring and compliance processes very quickly.”
“Provenir empowers the Telia Finance team to create and change credit offerings independently, process customer applications in seconds, and easily integrate to multiple data sources for better quality decisioning.”Fredrik Nilsson, Credit Manager, Telia
“The flexibility and ease of use of the Provenir platform allowed us to complete a very complex project in record time with nearly half as many resources and over a 50% cost reduction.”Gabriel Grynsztein, Strategy Lead, Risk Infrastructure