SkillTaxo provides a global, AI-ready skills taxonomy that connects skills with jobs, people, education, credentials and industries.
Built for Governments • Institutions • Enterprises • Platforms
Human capabilities, job openings, and qualifications are locked in disjointed silos. Without a standardized semantic layer, employers cannot find talent, institutions teach obsolete curricula, and AI models hallucinate skill competencies.
All fragmented skills, titles, qualifications, and learning outcomes mapped onto an authoritative, machine-readable semantic knowledge graph.
SkillTaxo standardizes the entire skill lifecycle—transforming unstructured human-capital text into verified, interconnected data assets.
Discover and identify skills from unstructured career, education and workforce data with deep context extraction.
Normalize and classify skills into a consistent taxonomy, disambiguating synonyms, spelling variations and regionalisms.
Map relationships between skills, occupations, job roles, courses and credentials across global qualification frameworks.
Understand skill demand, relevance, relationships and emerging skills across real-time labor market shifts.
Build a connected graph of skills across people, jobs, learning and industries with sub-millisecond graph query traversal.
Make skills understandable and usable by AI systems, applications, and autonomous agents through structured JSON-LD & embeddings.
How SkillTaxo ingests multi-format labor artifacts, processes them through our state-of-the-art normalization pipeline, and outputs actionable human-capital intelligence.
Unstructured, multi-lingual raw workforce signals ingested via API and webhooks.
Distributed natural language processing, semantic matching, and topological graph reconciliation.
High-fidelity intelligence objects consumed by enterprise apps, AI agents & dashboards.
Traditional skill catalogs are flat, static checklists. SkillTaxo structures human ability as a high-order relational knowledge graph where every skill is contextually connected to parent concepts, adjacent occupations, credentials, and tools.
Central ontological entity: Machine Learning Engineering (ID: SKT-84920). Contains canonical title, aliases, ESCO alignment, and vector representations.
Flat tables break down when querying transferrable skills. A graph architecture calculates career transitions, learning prerequisites, and workforce re-skilling pathways instantly.
SkillTaxo gives AI systems a structured understanding of human capabilities, workforce requirements and skill relationships.
Dissects experience narratives into verified, disambiguated competencies.
Separates hard requirements from nice-to-haves and inferred capabilities.
Converts syllabus modules into recognized learning outcome standards.
Cryptographically binds assertion metadata with taxonomy nodes.
Builds persistent, portable talent passport interoperable worldwide.
Detects breakthrough technical frontiers before standard codes update.
Use existing standards. Extend them. Or create your own organizational taxonomy.
Full bidirectional crosswalk to European Skills, Competences, Qualifications and Occupations.
Native mapping to Occupational Information Network standard taxonomy, SOC codes, and task matrices.
Compliant with W3C Semantic Web specifications, SKOS (Simple Knowledge Organization System), and RDF.
Seamless integration with portable micro-credentials, metadata alignment, and skill assertions.
W3C VC data model compatible. Enables tamper-proof, independently verifiable skills proofs.
Native support for Learning and Employment Records and Comprehensive Learner Records ecosystem.
Enables self-sovereign skill identity attribution without central gatekeepers or vendor lock-in.
Ingest and link specialized frameworks across healthcare, aviation, semiconductors, and cybersecurity.
Private organizational extensions mapped seamlessly against SkillTaxo's universal global benchmark.
Unlock high-leverage outcomes across human resource management, policy planning, and curriculum deployment.
Understand current and emerging skill demand across competitive regional markets.
Match candidates based on skills rather than keywords, degrees, or legacy prestige signals.
Identify adjacent skills and potential career pathways for employees seeking internal progression.
Map education and training to real industry requirements with automated gap detection.
Identify missing skills at individual, institutional and workforce levels before disruptions occur.
Detect new and rapidly changing skills from frontier technical publications and fast-moving job ads.
High-performance endpoints, deterministic JSON responses, and zero-overhead SDKs built for high-throughput production environments.
No black-box ambiguity. SkillTaxo returns explicit taxonomy nodes with confidence ratings, parent taxonomies, and international occupational equivalencies.
SkillTaxo provides the skills intelligence layer across the GenuineIN ecosystem.
Individual Skills & Career Profile
Career Intelligence
Talent Discovery & Pipeline Sourcing
Skill Evaluation & Certification
Job Matching
Record Publication & Verification
"SkillTaxo provides the skills intelligence layer across the GenuineIN ecosystem."
Connect people, jobs, learning and opportunity through a common skills intelligence layer.
ISO/IEC Compliant • SOC2 Type II Certified • Sovereign Cloud Deployable
