PH Deck

Recruitment teams face challenges managing multiple tools for different hiring stages, leading to inefficiency and fragmented candidate experiences. Managing multiple tools becomes cumbersome and can detract from a seamless hiring process.

Users currently rely on fragmented AI tools for different tasks, leading to complex workflows and higher operational costs.

Users struggle to utilize AI models, integrate knowledge bases, and simplify tasks without expertise

Job seekers manually prepare for interviews and create resumes, facing time-consuming preparation and lack personalized feedback on their performance.

The current situation of the user with the old solution is traditional recruitment processes involve manual job postings, manual assessments, and in-person interviews, which are time-consuming and prone to human errors. The drawbacks of this old situation are: traditional recruitment processes involve manual job postings, manual assessments, and in-person interviews.

Healthcare recruiters face challenges in manually matching candidates with suitable roles, leading to prolonged time-to-hire and reduced profitability.

Users face inefficiencies and chaos in traditional hiring processes, which involve manual screening, insecure data handling, and lack of transparency. Manual screening, insecure data, and opacity lead to delays, bias, and mistrust.

Recruiters currently engage candidates manually, sort through resumes, and conduct interviews manually, leading to inefficient talent screening and prolonged hiring cycles.

Developers and enterprises currently face challenges in integrating AI and blockchain technologies separately, leading to inefficiencies, higher costs, and security gaps in system development.

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