PH Deck

Prior solutions for AI workloads, particularly for Large Language Models (LLMs), struggle with efficiency and scalability. This leads to slower performance and limitations on the complexity of AI models being developed, specifically those exceeding billions of parameters. The drawbacks include lower efficiency, slower computational performance, and limitations on model complexity.

Users traditionally create online universities or educational platforms manually, requiring significant time, technical expertise, and financial resources for content creation, platform development, and maintenance.

Users rely on multiple expensive AI subscriptions for different needs, leading to high costs and management complexity

Users previously had to manually search across multiple platforms to find AI tools, leading to time-consuming and inefficient discovery processes with scattered and unverified information.

Users previously created videos manually, which required significant time, effort, and financial investment to film, edit, and optimize content for engagement.

Users often struggle with accessing and utilizing various AI tools for different tasks.

Drawbacks: Limited access to diverse AI models, lack of ease in comparing different AI tools, and challenges in editing documents and having AI support during the learning process.

Users need to manually search and pay for various AI models individually, leading to time-consuming processes and high costs.

Users relying on general fitness apps or traditional methods to address men's sexual health issues face general solutions without personalized insights and privacy concerns with existing methods.

Users previously relied on separate tools for image and video creation, leading to fragmented workflows, higher costs, and time-consuming processes.