HumanAZ is a recruitment platform that utilizes data analytics and machine learning algorithms to match tech professionals with companies based on cultural fit and specific business challenges. By achieving a 97% accuracy rate in candidate recommendations, the platform significantly reduces turnover and accelerates the hiring process, ensuring that professionals remain engaged for over a year.
Funding
Funding not disclosed
Founders
Product
Problem
Many companies struggle to find tech professionals who not only possess the required skills but also align with the company's culture and are motivated by its specific business challenges. Traditional recruitment methods often fail to accurately predict long-term employee engagement and retention, leading to increased turnover costs.
Solution
HumanAZ is a recruitment platform that leverages a SaaS model, combining SEO, analytics, and proprietary algorithms to connect tech professionals with companies based on aligned values and competencies. The platform parametrizes variables related to company culture and business challenges to create targeted value propositions. By attracting and engaging candidates through social media with assertive and empathetic messaging, HumanAZ ensures a higher degree of candidate-company fit. The platform's methodology focuses on verifying and recommending professionals who demonstrate sustained performance and engagement within the company.
Target Audience
HumanAZ primarily targets companies in the tech industry seeking to improve the quality and efficiency of their recruitment process, as well as tech professionals looking for opportunities that align with their personal values and career goals.
Features
- SaaS platform utilizing a proprietary algorithm to match candidates with companies
- SEO-optimized job postings to increase visibility and attract relevant candidates
- Social media campaigns designed to engage candidates with targeted value propositions
- Candidate verification process to ensure alignment with company culture and business challenges
- Data-driven methodology to predict candidate performance and retention
- White-label option for companies seeking a branded recruitment solution
- Newsletter to keep candidates informed about new opportunities in the tech market