Our mission: To help every brand turn complex customer data into business value.

Despite the customer data promises of technology vendors since the early twenty-teens, brands were still struggling with the age-old problem of “garbage in, garbage out.” Dozens of conversations with business leaders, data specialists, and marketers revealed the biggest hurdle: customer identity resolution at scale. But if so many organizations were struggling with assembling unified customer profiles across multiple systems and sources, was it even a solvable problem?

Turns out, it was. The breakthrough concerned embracing the inherent truth that data is messy. It always will be. So why not start there? By developing a machine learning-based approach designed for the uncertainty of customer data, the team found a way to ensure the continuous stability of an individual profile over time.