PH Deck

Users spend significant time creating podcasts from their research, leading to inefficiencies and delays.

Users spend hours conducting research tasks manually, leading to inefficiency and time-consuming processes.

Users struggle with conducting comprehensive research on various subjects due to the need for real-time information and the time-consuming process of writing professional reports, leading to inefficiencies and outdated data.

Users manually compile research from multiple sources (websites, papers, documents), leading to time-consuming processes, inefficient iterations, and lack of centralized control over source selection and analysis.

Users struggle to manually take notes during meetings, leading to potential loss of important details and key points. Users face challenges in organizing and structuring meeting notes efficiently.

Users struggle with poor audio quality in their recordings due to background noises and other audio imperfections.

In the current situation, users face challenges in transforming complex data into comprehensible and engaging visual representations. The old solutions often involve manual data analysis and visualization, which can be time-consuming and lack efficiency. The drawbacks of this old situation include the need to manually curate data and the time-intensive process to create insightful visualizations.

Users rely on fragmented, specialized tools for audio AI tasks like understanding, generation, and conversation, leading to inefficient workflows, high costs, and limited functionality.

Businesses often struggle to gather comprehensive data about their competitors which can lead to less informed or slower strategic decisions.

Users manually screening hundreds of research papers for systematic reviews face time-consuming and error-prone processes due to the volume and complexity of academic content.