Predictable patterns determine which content clients will read. Our tools create investment content that – finally – breaks through
Our story
FinText began with questions. Our founder, former machine-learning researcher Vered Zimmerman, was creating written content for some of the UK’s top asset managers. Budgets and resources were being spent on financial content without ever knowing:
We formed a small team of developers and writers, and went searching for data-backed answers. We’ve developed a first-of-its-kind solution to measure how content compares to what clients already enjoy. It also compares content against competing material.