MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641088619 A) filed by Sr University on July 21, 2026, for Ai Agent-Based Dynamic Talent Marketplace For Enterprise Recruitment.
Inventors include Dr. Gautam Vasantrao Vikhe; and Dr. Pramoda Patro.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present invention concerns an enterprise recruitment system comprising a dynamic talent marketplace, comprising a plurality of artificial intelligence agents that autonomously manage and optimize the entire recruitment process. The system is made up of a set of specialized AI agents, such as Enterprise AI Agents, Candidate AI Agents, Recruiter AI Agents, Skill Intelligence Agents, Matching Agents, Interview Agents, Negotiation Agents, Compliance Agents, and Learning Agents, each designed to execute specific recruitment tasks in tandem with other agents within an intelligent orchestration framework. The platform is designed to be connected to enterprise applications, applicant tracking systems, human capital management systems, external labour market databases and candidate information repositories to build dynamic digital talent profiles and semantic skill graphs. Machine learning, natural language processing, knowledge graphs, predictive analytics and semantic matching are used to analyze workforce needs, find qualified candidates, evaluate skills, arrange interviews, negotiate job terms and comply with regulations. A continuous learning framework keeps candidate profiles, enterprise skill demand models and recruitment intelligence current, based on hiring outcomes, employee performance, market trends, and recruiter feedback. The invention greatly cuts down on manual work, increases the accuracy of candidate-job matching, shortens recruitment cycles, improves hiring quality, aids in workforce planning and internal mobility, and creates a scalable, adaptive and intelligent enterprise recruitment ecosystem by autonomous multi-agent collaboration and continuous optimization.
Disclaimer: Curated by HT Syndication.
