Case Study
Turning Selector AI’s $33M Raise Into a Network Solution Narrative
The Value We Created
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15+
U.S. media stories
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#1
target publications reached
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20
featured quotes from the CEO
As Seen In:
Selector AI was founded to tackle rising network outages and limited troubleshooting time–a challenge the Selector team experienced firsthand. By pairing generative AI with a network language model, the company helps teams quickly pinpoint issues without sifting through data. With its $33M Series B, Selector AI aimed to join broader networking conversations, showing how its technology keeps even the most demanding networks running smoothly and generating revenue.
We elevated Selector AI’s Series B from funding news into a broader business story, spotlighting the pressing challenges enterprise network teams face with the rise of cloud technology. We positioned Selector AI as the first solution in the industry built to solve these niche network issues.
Here’s How We Did It
We positioned Selector AI as the network solution built by expert network insiders.
We highlighted the founder’s experience at Juniper and Cisco to show how the company was built on first-hand insights into critical network challenges, supported by in-house experts dedicated to the industry. This validation allowed us to position the company as more than just another AI-driven IT solution.
We educated the market on the network noise problem.
While part of its Series B funding supported scaling teams and global expansion, we focused headlines on the critical gap Selector AI fills by reducing network noise, or the constant system alerts that plague networking teams. We also highlighted how the solution boosts major corporations’ bottom lines.
