PH Deck

Parents struggle to monitor and control children's screen time, leading to potential excessive use or exposure to inappropriate content.

Users struggle to maintain brand visibility across AI platforms due to manual monitoring and fragmented analytics, leading to inefficient adaptation to algorithm changes.

Users struggle to ensure the effectiveness and reliability of Machine Learning and Large Language Models in AI applications, leading to a lack of trust and suboptimal performance.

Users currently rely on traditional analytics tools to track website traffic, which lack dedicated AI traffic source identification and analysis, leading to incomplete insights into AI-driven visitor behavior and conversion patterns.

Users previously had to purchase AI products from multiple vendors, leading to fragmented purchasing experiences and difficulty discovering innovative AI gadgets.

Users currently rely on manual methods or basic search functions within traditional knowledge bases to access business-critical information, leading to inefficient search processes, time-consuming information retrieval, and inability to leverage contextual understanding for accurate results.

Job applicants often struggle with tailoring their resumes to specific job roles, leading to a mismatch between their applications and job descriptions, resulting in lower chances of being shortlisted for the role. Struggle with tailoring their resumes to specific job roles.

Users manually track website content changes, leading to missed updates and inefficiency.

Users currently rely on infrequent doctor visits or manual heart monitoring methods which are time-consuming, not continuous, and require specialized equipment. Traditional tools lack accessibility and real-time analysis, leading to delayed detection of cardiovascular issues.