Built on learning science, not guesswork
Retention reduces re-teaching and repeat mistakes. Talum combines multi-agent AI with the latest research on how people actually retain skills on the job.
Readiness = you can recall + apply the procedure correctly over time (not just once). Prevents "it looked fine last month" drift.
Spaced repetition
Schedules reviews over time — less re-teaching required.
Retrieval practice
Employees recall on demand — better on-the-job performance.
Cognitive abstractions
Visual concepts that stick — fewer mistakes on real tasks.
Contextual refreshers
Right-time reviews — less supervision required.
Knowledge retention over time
Retention scores are based on spaced-repetition models, not just one-off quiz scores.
Atomic competence units — not a centralized curriculum
Talum doesn't force a giant role curriculum. You capture small units of real expertise, then assemble exactly what someone needs — when it matters.
Live Coverage Map
Shift Lead
Tier 2, operations
Coverage:
2eligible
AL
SA
Lockout/Tagout
x2
Forklift Check
x2
Quality Check
x2
Escalation
x2
Reset Conveyer
x1
AL
SA
JM
RK
Can perform task
WARNINGSingle Point of Failure
xN = Verified People
Why this matters operationally:
Fewer refreshers neededLess supervision requiredMore consistent execution