PH Deck

Users struggle with data silos, latency, and inefficiency due to traditional data integration methods that involve copying data across systems like Oracle, SAP, and Salesforce.

Users rely on traditional social platforms that lack integrated financial incentives, leading to inability to monetize social interactions and limited community-driven financial growth.

Users rely on traditional smart rings that lack integrated screens and advanced health tracking, resulting in limited functionality and bulkier designs.

Users rely on manual resume screening and traditional interviews for hiring processes, leading to inefficient candidate evaluation and high time consumption

Industries manage energy, water, and emissions with manual processes or fragmented tools, leading to high operational costs, inefficient resource allocation, and slow progress toward net-zero goals.

Users currently rely on manual trading or basic copy trading platforms that require constant monitoring and manual execution of trades, leading to time-consuming processes and delayed execution.

Users struggle with traditional data science processes that involve coding, lack of collaboration, and time-consuming experiments.

Drawbacks: Traditional processes hinder productivity, limit collaboration, and slow down the development and deployment of machine learning use cases.

In the current situation, users managing distributed data intelligence for Industrial Internet of Things (IIoT) applications struggle with complex data integration and processing tasks. This challenge is often exacerbated by the fragmented nature of existing solutions. Moreover, real-time data processing and AI readiness are significant drawbacks in existing systems, making it difficult to derive actionable insights quickly.

Traditional campus life experiences for Nigerian students are limited to physical interactions and often lack centralization, which leads to challenges in accessing information, news updates, and educational resources.

Users have to switch between different messaging platforms to communicate with people who have different chat tool preferences, leading to inefficient and fragmented communication.