How We Help Clients

Supply Chain Strategy

Pinerock built sophisticated demand forecasting and supply chain models, complete with assumptions input, statistical variability, scenario analyses, revenue and profit impact, and an order planning tool.

Predictive Risk Modeling

Created a series of advanced machine learning models to estimate default risk and expected loss in RBS's loan portfolios. Sourced and creatively used third-party data to strengthen model power and precision. 

Customer Lifetime Value 

For Hometap, a pioneering fintech, built advanced predictive models for the entire customer life cycle including targeting, assessment, pricing, behavior, retention, cross-selling, survival, profitability, and lifetime value.

Real-Time Decisioning

For Paysafe, a global payments leader, developed sophisticated predictive tools for real-time transaction monitoring and risk decisioning, and implemented them in the client's main operating system and workflow. 

Price Optimization

For this healthy-snacking innovator acquired by Mars Inc, developed sophisticated models for price elasticity estimation and pricing optimization across all channels in major international markets. 

Process Optimization

For one of the world's largest sugar manufacturers, supported a major process optimization effort by developing and implementing ML models to transform all core manufacturing and storage processes. 

Asset Price Modeling

For Properly, an innovative real estate tech startup, developed residential property price prediction models and risk quantification tools, and transform the company's risk management framework and processes. 

Authentication Scoring

For Au10tix, a leading identity verification provider, created next-generation ID authentication scorecards. Developed data models for the company's new enterprise CMDB; built new data analytics capabilities. 

Leading PE Firm

Data Due Diligence

For a leading US PE firm, conducted data due diligence and detailed analyses of technology-sector acquisition targets. Supported portfolio companies with predictive modeling for the entire customer life cycle.

F-200 Industrial

Data Lake and BI

Built an enterprise data lake, brought together structured and unstructured data from multiple internal and external sources. Incorporated machine learning and business intelligence reporting and visualization tools.