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Case study · From the Pluris libraryReceipt no. 0856
What sucked

A digital out-of-home advertising platform was losing revenue every time an advertiser uploaded an image.

If dimensions didn't match available billboard formats, the ad couldn't run, and inventory went unsold. Making it worse, human moderators reviewed every creative manually before it could go live, creating a slow, expensive bottleneck between upload and launch. Every hour of delay was another hour of unmonetized inventory sitting idle.

Media & EntertainmentOperationsUnder 4 weeks
What they built

Tenex built two AI systems for a digital out-of-home advertising platform: a custom model that automatically expands uploaded images to fit any billboard format, and a proprietary content moderation algorithm with 96% first-pass accuracy, both deployed in two weeks.

What changed
Significant Revenue Lift

Previously unsellable inventory, ads that couldn't run due to dimension mismatches, became monetizable, increasing revenue per upload across the platform.

96% Moderation Accuracy

A custom-built AI moderation algorithm achieved 96% accuracy on first-pass content review, replacing a slow manual process without sacrificing compliance standards.

2 Weeks to Deploy

The full solution, image expansion model plus moderation algorithm, went from concept to live production in under two weeks.

Time to results
Under 4 weeks
Company size
51-250 people
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Who did it
Arman Hezarkhani
Founder, Tenex

Vetted by Pluris.