Dotof
Dotof is an AI recruitment intelligence platform that helps employers source, assess, and engage candidates who genuinely fit the role, team, and company culture. The platform combines targeted sourcing, deep matching, role-simulation assessments, and employer branding to reduce hiring risk, time, and cost. It also provides evidence-backed fit analysis and candidate-controlled data sharing to support more accurate hiring decisions.
- Artificial Intelligence
- HR Technology
- Software Only
Funding
Founders
Product
Problem
Employers face an overwhelming volume of irrelevant applications, with an average of 245 out of 250 CVs being unqualified, leading to wasted time and resources. Additionally, candidates who appear strong on paper often have uncertain real-world abilities and cultural fit, increasing the risk of costly mismatched hires.
Solution
Dotof is an AI-powered recruitment intelligence platform that optimizes for accurate hiring decisions rather than just application volume. It combines targeted sourcing across online, database, and talent pool channels with deep matching algorithms that assess candidate fit beyond the resume. The platform includes role-simulation assessments that verify practical skills and a fit analysis feature that provides evidence-backed reasoning for each match. By integrating employer branding and candidate-controlled data sharing, Dotof helps reduce hiring risk, time, and cost while enabling more meaningful connections between companies and job seekers.
Target Audience
Primary customers are HR teams, recruiters, and hiring managers at organizations of all sizes, particularly those in Hong Kong and Asia, who need to reduce hiring risk and improve the accuracy of their talent selection processes.
Features
- Role-simulation assessments that analyze practical skills like presentation preparation, pitching, and difficult client handling
- Fit analysis with detailed reasoning for each candidate match, including match strength and risk level
- Employer-only access with candidate-controlled data sharing for privacy and consent
- Web-based platform requiring no installation, with instant candidate search across online, database, and talent pool sources
- AI-driven matching that ranks candidates by confidence and provides estimated time savings of up to 92% in screening and assessment