Understand skills and aspirations
Use transparent, role-relevant assessments with appropriate employee notice and controls.
Support each employee with a skills-first learning journey: assessment, relevant course recommendations, AI Digital Twin guidance and human-reviewed career goals.
Give employees a more intentional way to strengthen the capabilities needed in their current role and the direction they want their career to take.
Employee journeyMake better use of expert content by aligning development pathways with an employee’s role and aspirations.
Use transparent, role-relevant assessments with appropriate employee notice and controls.
Connect each person to suitable courses, expert workshops and development milestones.
Answer approved knowledge questions beyond scheduled class hours.
Track chosen learning goals while preserving human review of career and employment decisions.
Avoid guarantees of promotion or cost savings. Measure training reuse and learner feedback rather than using automated scores to determine careers.
Explore company programsThe value is not a single score. It is a clear learning plan and access to the right expertise.
Relevant learning, understandable recommendations and autonomy over career goals.
A way to guide team development with contextual, human-reviewed learning insights.
A coherent framework connecting assessments, courses, experts and workshops.
Employee development tools should help people, not become opaque employment decision makers.
Individual records and assessments should follow organization permissions and access controls.
Explain why courses are suggested and allow employee and manager feedback.
Do not automatically use AI learning scores to determine hiring, promotion, discipline or termination.
Discuss an employee-learning pilot that combines expert content, relevant courses and Digital Twin guidance.
Search reads real course material — approved public courses, or a course you may view. Private courses and drafts never appear in public results. After your diagnostic, Knova picks your next step from the skills you haven’t proven yet.
Ask inside your course and jump straight to the lesson that closes your gap, one next step at a time.
In aggregate, never by name — and see which of your own gaps other courses close. Your course stays fresh only with your approval.
See team gaps in aggregate, point each person at the course that closes their gap, and hire from a pool you can verify.
Each role gets an assistant built for what that role actually does — all working from real course material.
Ask inside a course and land on the lesson that answers it — or the right next course.
From the skills you haven’t proven yet. Study as cards or full lesson text, then prove it with an exit ticket.
Answers from your course material only. Learners search inside your course; you index it for search with one click.
Team gaps in aggregate, each person pointed at the course that closes their gap.
The search, the next step, and the assistant above all run on one principle: the AI is powered by the expert's or company's own key — never a shared model, never on the platform's dime, and learners never handle keys.
Learners never see, set, or need a key; free courses carry a 5-minute lifetime AI allowance per course.
Encrypted, last-four display, verified, rotated, or revoked any time — and it never serves another expert's learners.
Scoped to your own people; free-course AI stays bounded, paid courses carry no such cap.