KlarifyKlarifyFor such a data-rich and dependent industry as financial services, we were struck by how often data and information seemed difficult to use, sloppy, inaccurate, or even non-existent.
We decided to do something about it, which led to Klarify. As we began to build a data platform to serve our needs and those of others, we focused on four key tenets:
We’re singularly focused on financial services—what we care about and what we know. We’ve organized BaaS partnerships into product categories so you can drill down to identify fintechs or banks active in specific areas of lending, deposits, or payments.
We’ve done the detailed work to build deep, consistent historical datasets, some dating back decades. In fact, our oldest dataset goes back to 1934.
Regulatory data comes in many formats—or sometimes not at all. We’ve organized it into a single, consistent, interactive dataset—regardless of source.
Raw datasets have inconsistencies, typos, and gaps. We rigorously clean, audit, and monitor every piece of data—often finding and fixing issues before the source does. For example, we spotted an error in the Fed’s master account data two months before it was officially corrected.