Our initial idea was to use credit card data to help investors make better investment decisions, and now we also work with companies, not just investors.

In consumer AI, it's crucial to let data guide product development, focusing on what truly meets user needs rather than just following trends.

The challenge with credit card data is that different companies represent the same merchant in various ways, leading to a cardinality problem where multiple descriptions exist for a single merchant.

We provide direct observations of millions of US consumers' purchases, allowing investors to find answers quickly without the need for surveys.

In the current market, leveraging technology and data can help build consumer brands more efficiently, allowing for better decision-making and product development.

Our decision to enter the credit card market was driven by the strong economics of credit cards, as most Americans primarily spend using them.

Second Measure employs machine-based approaches to clean and analyze messy credit card data, aiming to create a useful output from raw transactional data.

Proprietary data can be less valuable than the insights generated by infinitely smart agents using public data, as the latter can synthesize new information more effectively.

Selling to Fortune 500 companies is challenging and cannot be done solely through credit card transactions.