Case Study: Finexkap achieves 7x faster time-to-production with Dataiku

Finexkap From Raw Data to Production, 7x Faster

Finexkap, a leading B2B fintech, faced a slow, notebook-heavy workflow with a three-person data team that made building and deploying data projects tedious and unsustainable as the company scaled. To power its new Finexpay service—particularly an ML-based client scoring module that enables extended payment terms—Finexkap adopted Dataiku, using the platform’s integrated notebooks, visual recipes, and plugin extensibility to streamline pipeline building and on-the-fly analysis.

With Dataiku, Finexkap built the Finexpay scoring pipeline end-to-end and moved models to production far faster: overall throughput is 7x faster versus the notebooks-only approach, ingestion times dropped from ~2 days to minutes–hours, data wrangling went from 1 day to minutes, and releases to production went from 2 days to a one-click deploy plus ~2 minutes of remapping. Dataiku’s mix of visual tools and coding support enabled automated scoring, quicker deployments, and measurable operational efficiency gains.

Finexkap