Analytics & Data Infrastructure for Fintech

Every fintech company reaches a point where spreadsheets and basic dashboards are no longer sufficient. Lending platforms need cohort-level default analysis to understand vintage performance. Payment companies need real-time transaction monitoring to detect fraud and manage liquidity. Neobanks need customer lifetime value models to optimize acquisition spend. And every fintech needs unit economics visibility that satisfies both internal decision-makers and external investors.

Adapter builds analytics infrastructure purpose-designed for fintech workloads. We start with your data architecture, designing event-driven pipelines that capture every transaction, decision, and customer interaction in real time. From there, we build analytics layers that serve different audiences: executive dashboards that track north star metrics and cohort performance, product analytics that measure feature adoption and engagement, risk analytics that monitor portfolio health and concentration, and financial analytics that provide the unit economics breakdowns investors expect in board decks.

Our fintech analytics platforms are built to handle the specific data challenges of financial services. This includes point-in-time data reconstruction for model validation (preventing look-ahead bias), regulatory reporting pipelines for BSA/AML, HMDA, and other compliance requirements, real-time streaming analytics for fraud detection and transaction monitoring, and data governance frameworks that meet the expectations of financial regulators and SOC 2 auditors. We also build self-service analytics capabilities that empower product, risk, and finance teams to explore data independently, reducing the bottleneck on engineering and data teams.