The use cases below are just a few things we’ve done for clients. Reach out with more questions. We are ready to work.
Top-Five Technology firm: Led the first project that used advanced machine learning and open-source intelligence (OSINT) to quantify and forecast political policy risk within data governance, antitrust, and taxation policies.
Top Community Bank: Designed and managed the first AI program. Built a mortgage pre-pay scoring algorithm that identified clients who are more likely to pre-pay their mortgage based on financial profile. Mined and clustered net promoter score (NPS) data to identify key drivers of product adoption and user experience.
Top-Five Insurance Provider: Spearheaded the development of the firm's first open-source intelligence and alternative data program, creating a scoring algorithm to identify underwriting opportunities. In addition, I led alternative data work, which identified adjacent markets to apply current products, and created original techniques that measured marketing performance.
Billion Dollar CPG: Led the first projects that leveraged OSINT and alternative data to assess potential acquisition, go-to-market, and new product development. Used machine learning to optimize bundle and pricing curves for direct-to-consumer and online sales.
Publically Traded Automotive Seller: Creating road map and overall AI transformation strategy. Use cases include modeling demand with alternative data, mapping out current technologies, and building ML DevOps flow and architecture.
Top-Five Global bank: leveraged OSINT, alternative data, and machine learning to identify reputational risk.
Private Equity Firm: Built from the ground up an automated scoring system that harmonized dozens of alternative and open-source data streams to rank thousands of firms to target for acquisition based on custom the fund's unique investment criteria. A comparable output using traditional methods would have taken decades to accomplish.
Top-Five Pharmaceutical: Created the first OSINT and alternative data use cases for competitive analysis, technology investment diligence, and more accurate financial forecasting.
Top-Five Technology Firm: Led company’s first project, which leveraged NLP and alternative data to model geopolitical risks algorithmically, and policy opportunities, in addition to identifying key stakeholders.