The Challenge
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.
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.
Tenex identified two compounding revenue problems: dimension mismatch leaving billboard inventory unsold, and slow manual moderation delaying ad launches. Rather than patching the existing process, they built two parallel AI systems. The first was a custom AI image expansion model that takes any uploaded creative and automatically generates versions sized for every available billboard format — turning previously unusable uploads into viable ad inventory. The second was a proprietary content moderation algorithm built to handle the first review layer with 96% accuracy, dramatically reducing the volume reaching human reviewers and accelerating time-to-launch. The two systems were designed to work together: an image uploads, expands into all formats, passes first-pass moderation, and surfaces for human review only when flagged. Both systems were built and deployed in two weeks. The immediate impact was the monetization of previously unsellable inventory, generating a significant revenue lift across the platform. What began as a revenue-recovery project became a differentiated platform capability.
AI Role
A custom-built AI moderation algorithm achieved 96% accuracy on first-pass content review, replacing a slow manual process without sacrificing compliance standards.
Infrastructure
• Custom AI image expansion model (proprietary, multi-format output) • Proprietary content moderation algorithm (96% first-pass accuracy) • Digital out-of-home ad platform (client-side infrastructure) • Human moderation review interface (for flagged content)
Integration Points
• Advertiser image upload → AI expansion model → format-matched ad units for all billboard dimensions • Expanded ad units → content moderation algorithm → pass/flag determination • Flagged content → human review queue → approval or rejection • Approved units → platform inventory → live ad serving
Digital advertising platforms, DOOH networks, and ad-tech companies struggling with creative compliance bottlenecks or inventory utilization gaps.
