Close skill gaps before they become business gaps
Skill gaps are identified too late. Training programs are generic, completion rates are low, and there is no way to measure if upskilling actually changes business outcomes.
AI that identifies critical skill gaps, builds targeted programs for the right populations, and tracks employees through completion with measurable impact.
2.4M skill nodes and 18.7M relationships mapping people, jobs, and skills across your organization.
Vector-based semantic search finds the right people through meaning, not keywords.
14 specialized tools for matching, predicting, and acting on workforce data.
Connects people to roles, learning, and mentors based on skills and goals.
Policy enforcement, approval workflows, and audit trails for every AI action.
Measurable Impact
It considers the employee's current skill level, learning style, available time, career goals, and the specific capability gap. Two people with the same gap get different paths based on their starting point and how they learn best.
No. The agent matches employees to the right mix of formal learning, stretch projects, mentorships, job shadows, and peer collaboration. The most effective upskilling combines classroom knowledge with hands-on practice.
It tracks skill progression through evidence signals – assessment improvements, project complexity increases, peer feedback changes, and on-the-job application. Completion of a course is not the same as acquiring the skill.
Yes. The agent detects when current projects offer natural skill development opportunities and suggests stretch goals or additional responsibilities that build targeted capabilities on the job.
Organizations see 2-3x faster skill acquisition compared to self-directed learning, because recommendations are targeted, timely, and aligned with both employee goals and organizational needs.
AI-powered upskilling that targets the right people, builds the right programs, and proves business impact.