Three sources, one effective level
Self, manager and validation sit side by side. The effective level follows simple rules you can explain.
Skills management, powered by AI
AI skills matrix software. Know who knows what, close the gaps.
One trusted picture of your organization's skills, measured against the roles you need. Skills gap analysis, training and career roadmaps, with an AI assistant that explains and never decides.
One mastery scale for every skill, written definitions at every level
- 0None
- 1Aware
- 2Guided
- 3Autonomous
- 4Advanced
- 5Expert
From scattered skills to a shared, trusted picture
Every rating keeps its source and date. Gaps, coverage and learning all come from the same data.
Fit score against any profile
See how close each person is to a target role, weighted by what matters.
Illustrative exampleRanked gaps
Biggest gaps first, then what the person wants to grow in.
Team coverage, at a glance
Spot at-risk needs and single points of failure before someone leaves.
Learning that closes real gaps
Top courses per gap, or mentors at level 4 and above when none fit.
An assistant that explains, not decides
AI writes the wording. Scores stay computed, auditable and yours.
Powered by AI
AI that does the busywork. People keep the decisions.
levelr.ma uses AI where language helps: answering questions, reading CVs, drafting quizzes and summarizing teams. Every score stays a formula you can audit.
Skills assistant
Ask in plain English or French: “What are my biggest gaps for Senior Engineer?” It answers from your own data and streams the result live.
CV to self-assessment
Upload a PDF, Word or text CV. The AI proposes skills, levels and evidence; you review and edit before anything is saved. The file is never stored.
AI-drafted validation quizzes
Generate questions per skill and level. A human approves each question before it can be used to validate a rating.
Team analysis
A written summary of coverage, at-risk needs and single points of failure, built on numbers the platform computed, not guessed.
Learning that fits the gap
Top courses per gap, or mentors at level 4 and above when none fit, so every plan is tied to a measured gap.
Your model, your data
Run it on a local model so prompts stay inside your infrastructure, or route across several providers with failover and a usage dashboard.
Built so AI stays accountable
- Scores are formulas, never model output
- Generated quiz questions are reviewed by a human first
- The assistant only sees what the person asking may see
- Nothing about promotion or pay is decided by AI
0–5
Mastery levels, defined per skill type
3
Sources side by side: self, manager, validation
12mo
Before a manager rating is flagged as stale
∞
History kept. Assessments are never overwritten
Three steps from rating to roadmap
Built to fit into the way your teams already work.
- Step 1
Rate yourself
Pick your skills, set a level with written definitions, add evidence and flag what you want to grow in.
Demo data
- Step 2
Get it validated
Managers review the team's ratings. Gaps of two levels or more between self and manager are flagged for discussion.
Demo data
- Step 3
Follow your roadmap
See your fit, your ranked gaps, recommended courses and the profiles you are closest to.
Demo data
Useful from the first day, for everyone
Each role sees what it needs, nothing more.
Employees
Own your profile, see your gaps and plan your next role.
Managers
Review ratings, watch team coverage and find risks early.
HR
Link training to measured gaps and suggest internal moves.
Skills admins
Govern one referential: approve, merge and retire skills.
Questions, answered
How is the effective level computed?
A recent manager rating wins. Otherwise a passed quiz or certification validates the self-rating, capped one level above it. Otherwise the self-rating is used and marked unvalidated. Ratings older than 12 months are shown as stale.
Does it make decisions about promotion or pay?
No. The platform suggests; people decide. It does not replace your HRIS, payroll or review process.
Is AI involved in the scores?
Scores are simple formulas you can explain. AI is used for wording, matching and quiz generation, and generated questions are reviewed by a human first.
Which languages are supported?
English and French, switchable at any time.
What is a skills matrix?
A skills matrix maps each person's skills and levels against the skills a role or team needs. levelr.ma adds sources (self, manager, validation), dates, gap analysis and learning paths so the matrix stays current instead of going stale in a spreadsheet.
Where does the AI run, and is our data used to train models?
You choose. levelr.ma can run on a local model inside your infrastructure, so prompts never leave it. CVs are read in memory and not stored. The usage dashboard keeps counts and timings, not prompts or answers.
How do I try it?
Book a demo with the form on this page. We will walk through it on your own roles and skills and answer questions about integration with your HR tools.
See levelr.ma on your own skills
Tell us a bit about your team. We reply within one working day to set up a demo, answer a question or open early access.
- A live walk-through on your own roles and skills
- Honest answer on fit with your HRIS and review process
- No commitment, no credit card