Maki offers a skills assessment platform that utilizes AI-driven evaluations to measure over 300 competencies through immersive audio, video, and text interactions, tailored to real job scenarios. This technology replaces traditional CV screenings, enabling organizations to make data-driven hiring decisions while reducing bias and improving recruitment efficiency.
Funding
$36.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BCFounders
Product
Problem
Traditional hiring processes often rely on resumes and subjective interviews, which can be inefficient, biased, and fail to accurately assess a candidate's true skills and competencies. This leads to poor hiring decisions, increased turnover, and a lack of diversity within organizations.
Solution
Maki provides an AI-powered skills assessment platform that evaluates candidates on over 300 competencies through immersive, scenario-based interactions. The platform replaces traditional CV screenings with objective, data-driven insights into a candidate's abilities. By simulating real job situations using audio, video, and text, Maki offers a more accurate and engaging assessment experience. The AI-driven recommendations help organizations make faster, smarter hiring decisions, reduce bias, and improve the overall quality of their recruitment process.
Target Audience
Maki's primary customers are HR teams and recruiters within organizations of all sizes, particularly those seeking to improve the efficiency, objectivity, and effectiveness of their hiring processes.
Features
- AI-driven skills assessments covering over 300 competencies
- Immersive audio, video, and text-based interactions simulating real job scenarios
- Personalized AI agents that mirror a company's brand
- Automated recommendations for faster and more accurate hiring decisions
- Ethically crafted AI assessments focused on reducing bias and enhancing fairness
- Seamless integration with applicant tracking systems (ATS)
- Data encryption, logical separation, and least privilege principles for data security
- GDPR compliance and adherence to global privacy laws