PH Deck

Users rely on traditional cloud storage systems for AI data pipelines and GPU workloads, facing high costs and suboptimal performance due to inefficiencies in handling large-scale AI training and inference tasks.

Users need cloud storage for photos and videos but face limited free storage space and lack dedicated solutions for media backup, leading to fragmented storage and inefficient sharing.

Users struggle with finding the best S3-compatible cloud storage solution for storing pictures, videos, and files.

Users manually ensure GDPR compliance during cloud storage migrations, facing time-consuming processes, high error risks, and potential non-compliance fines.

Users rely on traditional cloud storage solutions with basic security measures, leading to vulnerability to data breaches and limited scalability as data grows.

Users deploy AI agents using local hardware or generic cloud services, leading to high local resource usage and inefficient bulk deployment.

Users manually craft prompts for AI models like ChatGPT and Midjourney, which is time-consuming and often ineffective due to trial-and-error approaches

Users struggle to optimize product pages for AI-driven search engines like ChatGPT, leading to poor visibility in AI-generated shopping recommendations and ineffective schema markups that traditional SEO tools don’t address.

Users rely on traditional SEO methods to optimize their websites, but optimizing websites for traditional search engines leads to reduced visibility as AI-driven search bypasses conventional results, causing lower traffic and mentions.

Currently, users face challenges in integrating various AI models into their applications. The old solution involves manually integrating these models, which can be time-consuming and complex. A significant drawback of this old situation is the need to manually manage and integrate multiple AI models, leading to increased costs and possible integration errors.