Angela Edwards
Co-Founder/COO
Pyxai
Pyxai uses job simulations and video assessments to measure intangible soft skills that predict long-term job success. This platform provides data-driven analytics to inform hiring decisions, improving candidate quality and retention rates. Companies leverage Pyxai to reduce time-to-hire and screen talent equitably against defined success criteria.
- Data & Analytics
- Enterprise Software
- HR Technology
- Software Only
Updated 7 months ago
Funding
Funding not disclosed
Funding rounds are not available yet.
Founders
Product
Problem
High employee turnover and recruitment inefficiencies lead to decreased productivity, increased workplace toxicity, and significant financial losses for companies. Traditional hiring processes often fail to accurately assess candidates' soft skills and cultural fit, resulting in poor hiring decisions and reduced retention rates.
Solution
Pyxai offers an HR software solution that leverages job simulations and video assessments to evaluate candidates' soft skills, qualifications, and cultural alignment. By identifying and assessing for success skills, Pyxai enables organizations to predict candidate's future outcomes before hiring, leading to better-fit candidates who stay longer. The platform provides rich data and analytics to facilitate informed hiring decisions, reduce time-to-hire, and promote fair and equitable screening of all talent. Pyxai helps companies modernize and future-proof their recruiting process by automating and simplifying talent identification through easy and secure soft skills-enabled assessments.
Target Audience
Pyxai's primary customers are HR departments and recruitment teams within organizations of all sizes seeking to improve employee retention, reduce hiring costs, and enhance the quality of their talent acquisition process.
Features
- Job simulation assessments to evaluate candidates in realistic work scenarios
- Video assessment capabilities to gauge communication skills and personality traits
- Soft skill identification and measurement to predict long-term job success
- Automated candidate screening to efficiently filter applicants at scale
- Bias reduction algorithms to promote fair and equitable hiring practices
- Data-driven insights and analytics to inform hiring decisions
- Integration with existing applicant tracking systems (ATS) for seamless workflow