Mapped from real work
Skills are inferred from actual work product, not self-reported surveys.
Skills Intelligence to be AI-ready
Discover every skill in your workforce with AI agents that map and assess skills from real work, keep them verifiable, and update them continuously.
Built for teams running skills intelligence at scale
See it in action
Continuously verified
Skill records update as new work and outcomes come in, not once a year.
Organization-wide visibility
See skill coverage and gaps across teams, not just individual profiles.
Inbox
Data
Skills
Work
Upskilling workflow
Coverage
82%
Open gaps
14
Plans
39
Recommended path
1Map role needs
2Match adjacent skills
3Assign learning actions
Continuous skills discovery
Clous builds a living view of workforce skills from mapping, assessment, and proof of work instead of a static skills library.
Map skills from work history, projects, feedback, and systems of record
Continuously assess skills with evidence from real outputs
Verify skills through a multi-touch lifecycle, not one-off self reports
Grow a personalized taxonomy that adapts to your organization
Built for how HR teams actually work
Beyond self-assessment
Skills come from evidence in real work, not employees rating themselves.
Always current
AI agents keep skill records fresh instead of going stale after one annual review.
Built for planning decisions
Skill data feeds directly into workforce planning, hiring, and mobility decisions.
How it fits into your workflow
Skills intelligence that stays current
From discovery to verification, Clous keeps your skills picture useful for decisions.
01
Continuous discovery
Map and refresh workforce skills as people complete work, change roles, and build new capabilities.
02
Proof of work
Ground assessment in artifacts, outcomes, feedback, and real contributions instead of self-reported skill lists.
Turn skills into decisions
A continuously updated skills graph helps HR and business leaders act with confidence.
AI-ready workforce
Understand which capabilities exist today and which ones need to grow next.
Objective assessment
Move beyond static profiles with evidence-backed skill signals.
No generic skills library
Your taxonomy grows with your real work, not someone else's framework.
Better workforce planning
Anticipate skill gaps before they slow execution.
Internal mobility
Match people to opportunities using verified capabilities and growth signals.
Learning prioritization
Invest in development where the evidence shows it will matter most.
How skills intelligence works
Start with your real work data, then keep the skill graph updated as people contribute.
1
Discover and map skills
Agents infer skills from roles, projects, documents, feedback, and activity signals.
2
Assess with proof of work
Evidence from real outputs, manager input, and completed work keeps assessments grounded.
3
Verify over time
Multiple signals confirm skills and reduce bias from one-time assessments.
4
Update the taxonomy
The taxonomy evolves with new roles, tools, and business priorities.
Ready to build an AI-ready workforce?
See how Skills Intelligence keeps skills mapped, assessed, verified, and current.