Singapore (Group HQ) · Hong Kong · Mainland China
Most learning platforms hold records of what people were taught. An agent-ready learning platform holds the competence, the rules and the evidence — which is what AI needs in order to be useful.
Cyberwisdom Group's enterprise learning management capability is delivered through <b>UpLearn</b>, its enterprise learning management system for course and assessment, and the <b>wizBank</b> platform family, where wizBank 8.0 is the current flagship Human Machine (AI+Data) Capital platform. UpLearn is a modular suite covering the full learning lifecycle: training delivery for online, classroom and blended learning, training management including external training, CPD and compliance tracking with audit-ready records, assessment and certification, and reporting. It is deployable as standard SaaS cloud, dedicated cloud or on-premise. The platform has served more than <b>10 million users</b>, sits alongside MetaSim simulation and Kora knowledge management, and is anchored by the <b>LyndonAI</b> enterprise AI platform — which is what makes it agent-ready rather than a records system.
The platform generation is deliberately not one tool. It is a set of systems that share an ontology and a capability graph.
The enterprise learning management system: course and assessment, certification, CPD and compliance, and the reporting that proves what happened. Agent-ready by design.
Enterprise business and sales simulation; a sales and soft-skills AI simulation providing an enterprise behaviour digital twin for rehearsal and assessment.
Ontology-based knowledge management — institutional knowledge modelled against business entities and rules, with ownership and currency.
The enterprise-level AI platform and agent/ontology management layer that anchors all four systems — and makes the learning estate queryable by agents.
An LMS holds a rich record of competence. Most of it is trapped in forms that only a human can read.
| Traditional LMS | Agent-ready LMS | |
|---|---|---|
| Competence | Held as completion status against a course title | Modelled as capability against an ontology, with prerequisites and rules |
| Records | Screens of completion and scores | Queryable, structured, permissioned evidence of what a person can do |
| Content | Static assets in a course player | Versioned knowledge objects, addressable and grounded in retrieval |
| Assignment | A manager selects a course | Rules determine who needs what, and agents surface the gap proactively |
| Assessment | Exam score | Continuous evidence: simulation performance, work output, demonstrated behaviour |
| Compliance | A report generated for an audit | Continuously maintained, audit-ready, with the decision traceable |
Course authoring with instructional design support, reusable templates, and the ability to publish to the catalogue and to any deployment model.
Online, classroom, blended and mobile delivery, with external training brought into the same record rather than tracked separately.
Question banks, exam engine, proctoring options, certificates and continuing CPD hour credit.
Learner progress, course evaluation, examination statistics, training cost and CPD compliance reporting, plus custom report builder.
Knowledge centre, surveys engine and content library management — the informal learning that never reaches the formal catalogue.
HRIS, identity, payroll and systems-of-record integration, so competence data flows with the rest of the enterprise.
Most organisations over-engineer this decision. The questions that actually determine it are simpler than the procurement process usually allows.