Structured Recognition Assessments
Capture experience, qualifications, skills, and evidence in a consistent workflow that can be reviewed across multiple submissions.
Recognition Intelligence Platform
Modern evidence-first recognition workflow for candidates and assessors.
SkillPath Recogniser helps teams run multi-assessment recognition operations with deterministic scoring and AI-assisted competency interpretation. It is designed for RPL-style workflows, skilled migration evidence preparation, and professional recognition case reviews.
Deterministic Readiness Scoring
Generate transparent, repeatable recognition scores, pathway suggestions, and evidence gap analysis for each assessment.
AI Evidence-to-Competency Mapping
Convert unstructured CV/project/reference text into competency mappings, risk flags, follow-up questions, and assessor-ready summaries.
Assessor Review Operations
Review all submitted assessments in table format with direct drill-down into candidate details, results, and AI advisory outputs.
Create
Start a new assessment and capture candidate profile and evidence.
Evaluate
View deterministic score, pathway fit, and evidence gaps.
Review
Run AI advisory review and final assessor decisioning.