PH Deck

Users need to analyze confidential business files with LLMs but risk exposing sensitive data when sharing with third-party providers for AI training.

Users need to manually navigate complex financial education which is time-consuming and lacks personalized, actionable insights from traditional methods.

Users rely on traditional analytics tools like Google Analytics which require manual data analysis and interpretation, leading to time-consuming processes and difficulty extracting actionable insights for e-commerce businesses.

Creating analytics reports and presentations is a time-consuming process involving coding, generating visualizations, uncovering insights, and preparing keynotes. The time-consuming nature and complexity of these tasks are significant drawbacks.

Users struggle with manually looking for insights, finding the right metrics, and using dashboarding tools, which can be cumbersome and time-consuming.

Healthcare providers often face the challenge of managing revenue cycles efficiently.

Traditional methods lack the integration and predictive capabilities necessary for seamless operations.

Users rely on online-only AI tools requiring constant internet connectivity, facing dependency on internet connectivity and potential security risks with data processed online.

Finance teams often face inefficiencies and delays due to outdated manual processes. These manual processes lead to error-prone operations and increased workload on financial professionals. Bottlenecks and inaccuracies in financial reporting can impact strategic decision-making and operational efficiency.

Users are tired of copying and pasting charts, formatting slides, and making the same presentation every week for their Google Analytics reports. These manual tasks are time-consuming and redundant.

Users manually implement analytics events across different platforms, leading to inconsistent event definitions, data quality issues, and wasted development time.