PH Deck

Users rely on traditional hiring tests that are slow, repetitive, and biased, leading to inefficient candidate evaluation and unfair outcomes.

Users (hiring teams and developers) rely on manual code review processes requiring hours to evaluate technical skills, leading to inefficiency and potential inconsistency in candidate assessments.

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

Job seekers and employers currently rely on resumes and skills which leads to misalignment with company cultures, causing higher turnover and dissatisfaction.

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.

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.

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

Students in regions like India face a shortage of qualified human teachers, with 1 million+ unfilled teaching positions and 8% of existing teachers underqualified, leading to inconsistent education quality and access.

Users manage accounting and tax compliance through time-consuming manual processes, leading to human errors and compliance risks

Users manually screen resumes, which is time-consuming and prone to human error and inconsistency, leading to delays and potential bias in hiring decisions.