Seam AI
8 Case Studies
A Seam AI Case Study
Dremio, a provider of an intelligent data lakehouse platform, faced the challenge of having too many marketing and sales signals from sources like web visits and ad clicks, but no efficient way to act on them. Their business development representatives were spending hours manually researching and preparing contact records, creating a significant bottleneck. They turned to Seam AI to solve this problem.
Seam AI implemented a solution that automatically pulls in data from various sources, matches it against Dremio's ideal customer profile, and finds and enriches the right contacts. This process, which runs in the background, then sends the contacts into Salesforce and Outreach. As a result, Dremio generated an 11x return on its Seam spend by enabling faster activation of intent signals and removing the manual work of contact preparation.