ZobiqueContext
Courses and upskilling programmes produce a lot of academic effort, but learners often struggle to turn credits and certificates into job readiness they can show. Zobique set out to connect learning, what employers need now, and help deciding what to do next.
Problem
Students and early-career professionals faced scattered career counselling, disconnected course catalogues and static job listings that said nothing about whether they were ready. Without ongoing, personal guidance, they made learning decisions on assumptions instead of a clear link between their skills and target roles.
What we built
An AI career intelligence platform that assesses a learner's skills, compares them with what employers ask for, and builds a personal roadmap of milestones. It keeps adapting as the learner picks up new skills and finishes projects, rather than giving one-off advice.
Skill graph
Maps what a learner has studied to the skills employers ask for.
Decision engine
Works out the next best step from the learner's pace and target role.
Gap feedback
Shows which skills are missing and how close the learner is to ready.
Personal learning paths
Milestones toward a target role that update as the learner progresses.
- Map current skills
- Compare with target roles
- Find the gaps
- Follow a personal roadmap
Result
Career guidance that used to be scattered now runs as one structured decision system, with a personal path for each learner.
Qualitative: what the product does. No outcome figures until measured.
See it
