Cloud-Native Risk Modernization:
Transition from rigid, legacy risk systems into flexible Databricks and serverless-native architectures.
Fraud & Merchant Risk Analytics
Built Medallion-compliant data engineering pipelines to automate risk checks, accelerate fraud detection, cut onboarding times, and empower analysts with AI-powered “talk-to-data.”
Resilient Data Pipelines:
Build risk and fraud pipelines on Databricks using Medallion architecture and serverless components, enabling scale and compliance from day one.
AI-Powered Analyst Access:
Enable business users to “talk to data” in natural language for fraud investigation, portfolio health, and compliance checks.
Faster Merchant Onboarding:
Code-defined deployments that reduce onboarding cycles from weeks to days, accelerating risk validation.
Turn Merchant Risk into a Data-Driven Edge
Real-time fraud checks and compliance validation integrated into onboarding workflows.
Cross-domain coverage, fraud, merchant risk, and insurance data in a single platform.
Automate pipeline scaffolding with Databricks Asset Bundles, replacing manual pipeline creation and deployment.
Automated ETL and transformations with DBT to keep fraud models current and compliant.
Offload edge-case or ad-hoc processing to serverless tasks, preventing operational overhead.
Disposable infrastructure reducing merchant onboarding from one month to one week.
AntStack Solves for You
Automated Data Transformation:
DBT-driven ETL with scheduling, ensuring fraud and risk models remain consistent and current.
AI-Powered Analyst Access
Natural language interfaces embedded into workflows to run fraud and compliance checks without coding.
