Lingon.ai
Website unreachable since Nov 4, 2026
Lingon.ai provides an AI-powered recruitment platform that automatically matches job descriptions with candidate profiles from a company's existing database. The system uses machine learning, natural language processing, and deep learning to analyze, categorize, and rank resumes, while also offering customizable matching parameters and resume anonymization to reduce bias. The platform continuously learns from user interactions and feedback to improve its matching accuracy over time.
- HR Technology
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Recruiters face overwhelming volumes of resumes that must be manually screened, a time-consuming process that delays hiring and risks overlooking qualified candidates. Traditional screening methods are also susceptible to unconscious bias, undermining diversity and inclusion efforts in the workplace.
Solution
Lingon.ai provides an AI-powered recruitment platform that automatically matches job descriptions with candidate profiles from a company's existing database. The platform's AI engine uses machine learning, natural language processing, and deep learning to analyze, categorize, and rank resumes with high speed and accuracy. Recruiters upload a job description and the system identifies the most suitable candidates based on skills, experience, and qualifications, with customizable parameters for precise matching. The platform also anonymizes resumes to remove identifying information and uses algorithmic fairness techniques to prioritize meritocracy and reduce bias. The AI engine continuously learns from user interactions, feedback, and real-world recruitment data to improve its capabilities over time.
Target Audience
Primary customers are companies and recruiters seeking to streamline hiring processes, reduce manual resume screening, and identify top talent from their existing candidate pools.
Features
- AI engine leveraging machine learning, natural language processing, and deep learning for resume analysis and ranking
- Job matching that automatically scours candidate databases based on uploaded job descriptions
- Customizable matching parameters allowing recruiters to fine-tune preferences for each job opening
- Resume anonymization that removes identifying information to ensure a level playing field for all candidates
- Algorithmic fairness designed to minimize unconscious bias and promote diversity and inclusion
- Continuous learning system that evolves from user interactions, feedback, and real-world recruitment data