We connect analytics, engineering, and business context, with particular depth in lending and credit risk.

Data platforms & analytics

Build a governed foundation for reporting, analysis, and operational decisions. The work starts with what the data needs to mean and how your team will use it.

  • Modern data stack architecture and source-of-truth data models
  • Semantic layers and consistent metrics
  • Data quality checks and observability

Decision systems

Turn quantitative models into tested, maintainable tools. A useful model needs to work within the processes, applications, and controls around it.

  • Pricing and constrained optimization engines
  • Risk models and scenario analysis
  • Python applications and APIs

Our credkit product brings this work to loan modeling and portfolio analytics, with an open-source library at its core.

Strategy & modernization

Work through the choices behind a platform investment or a legacy workflow replacement, then carry the plan through implementation.

  • Platform and vendor evaluation
  • Legacy analytics modernization
  • Architecture and delivery roadmaps

Read how we work, or tell us about your project.