TransSkill Navigator employs machine learning algorithms to analyze a user's work history, extracting valuable skills and accomplishments.

It translates these elements into industry-neutral language and aligns them with relevant roles in new sectors.

The platform provides a personalized dashboard where users can generate a transferable skills portfolio, tailored CVs for specific industries, and even simulate interviews with AI-based tools to practice aligning their past achievements with new job roles.

Employers access this data via a secure API, facilitating rich, contextual insights during the hiring process.

TransSkill Navigator solves the hiring disconnect by providing a credible, standardized framework for translating diverse experiences into industry-relevant narratives.

Unlike existing solutions, it leverages AI to continuously update and adapt its skill translation framework, keeping pace with evolving industry demands.

This enhances job candidates' visibility and credibility, while enabling employers to access a broader talent pool, thus reducing missed opportunities for both.

The core technology relies on advanced natural language processing and machine learning, both of which have matured significantly.

Developing a robust algorithm that truly understands and translates skills across contexts is challenging but feasible.

Initial development will require investment in AI expertise and data acquisition.

Competitors exist in the form of generic skill tests and career coaches, but few offer a comprehensive, digital-first approach focused on mid-career professionals.