Three modules
One loop.Three sides.
Institutions, employers, and learners each see GradiumOS from a different angle. Each angle has its own module. All three feed the same loop.
Campus
For institutions & deans
See cohort readiness, cohort by cohort.
Spot where the gaps are before placement season opens. Direct augmentation where it matters.
Sees
Cohort readiness against live demand
Acts
Direct augmentation where gaps exist
Receives
GradiumOS Signals for verified graduates
campus · cohort readinesssample
Cohort readiness
78%
5 learners
8 clusters
8 clusters
CoreSolvBuilSystCommDomaOwnLear
Gaps: System · DomainAugment →
Workforce
For employers
Post roles. Get demand-recalibrated screening.
The system extracts the real skill demand from your JDs and feeds the readiness standard.
Posts
Real roles with real JDs
Receives
Demand-extracted competency criteria
Sees
Candidates with verified Signals
workforce · shortlistsample
Verified candidates
ML Engineer · demand-matched
01
GOS·SIOSA·BCAML·26·····
Identity masked until shortlist
92%
Match · Signal ✓
02
GOS·SIOSA·BCAML·26·····
Identity masked until shortlist
86%
Match · Signal ✓
03
GOS·SIOSA·BCAML·26·····
Identity masked until shortlist
81%
Match · Signal ✓
Contact revealed only after you shortlist
Talent
For learners
Diagnosed against real demand. Augmented where it matters.
Follow targeted pathways. Earn a Signal that verifies without exposing your personal data.
Gets
Diagnosed readiness across 8 clusters
Follows
Targeted augmentation pathways
Earns
A verifiable GradiumOS Signal
talent · readinesssample
Readiness
87%
Core
90
Solve
86
Build
92
System
73
Comms
85
Domain
71
Own
88
Learn
82
6 above1 belowIndex · cohort-locked
The loop
Each module feeds the next. The last feeds the first.
Employers post demand → the Index recalibrates → learners are diagnosed and augmented → verified Signals return to employers. The loop tightens every cycle.