Predis.ai is an AI ad platform that helps businesses create ads that look like their brand—shaped by what works in their category. But as the company pivoted its core platform toward sophisticated generative AI pipelines, its legacy infrastructure reached an operational limit.

Securing research-grade GPUs required enduring long approval queues, forcing the lean engineering team to rely on consumer-grade hardware. This created major latency bottlenecks and challenging generation queues. The team had to manually over-provision their architecture to survive unpredictable traffic spikes. This defensive strategy burned through two to three times their current server budget and diverted critical engineering focus away from product development.

Recognizing that scaling these media-heavy workloads required a production-ready inference environment, Predis.ai deepened its partnership with Google Cloud. Moving to this ecosystem provided seamless access to state-of-the-art foundation models without the friction of building infrastructure from scratch. In aligning with Google security and privacy baseline, Predis.ai immediately established trust with enterprise clients, removing friction during the sales process.

At the core of Predis.ai architecture is a sophisticated ‘agentic swarm’ orchestrated on the Gemini Enterprise Agent Platform, wherein models communicate dynamically instead of running in silos. Gemini 3.1 Pro acts as the baseline reasoning engine, generating context that passes to Nano Banana Pro for precise graphic and text rendering. Veo 3.1 then processes these keyframes to produce high-fidelity video ads.