Platform Architecture
The operating system for verified talent.
SMH is not a matching tool. It is a four-layer infrastructure that transforms probabilistic hiring into governed, evidence-based selection — from JD ingestion to certification-ready hiring.
Product Journey
Seven steps. Three maturity levels.
Each step in the SMH pipeline is independently deliverable and architecturally decoupled. Steps 1–4 are live. Steps 5–6 are in active build. Step 7 is on the confirmed roadmap.
JD Ingestion
Structured parsing of job descriptions into skill taxonomy units
CV Parsing
Multi-format resume extraction with field normalisation
AI Scoring
~50,000 parameter matching engine. Ranked shortlist output
L1 Screening
Structured competency interview layer with standardised output
Gap Training
Role-specific learning path activated post-selection, targeted to identified gaps
Progress Assessment
Post-training evaluation closing the evidence loop before certification
Trust Certification
Foundation-governed credential issuance with optional blockchain anchoring
Core Engine
Recruitment Engine & Academic Layer.
The two operational layers of SMH work in sequence. The Recruitment Engine selects; the Academic Layer closes gaps before the hire goes live.
Layer 1 — Recruitment Engine
JD-to-Resume Matching
Structured comparison across normalised skill units, not keyword frequency
Multi-Level Screening
Multi-level gates with standardised output at each stage
Ranked Shortlist
Evidence-based ranking with transparent scoring rationale
Multi-Tenant Architecture
Per-tenant data isolation with cross-tenant access restricted to sovereign ILS.AI roles
Layer 2 — Academic Layer
Select First, Then Train
Training activated only post-selection, eliminating speculative course-taking
Surgical Gap Closure
Targeted learning paths mapped directly to identified competency gaps
SCORM / LTI Bridge
Standards-compliant integration with Coursebox and external LMS platforms
Catalog Governance
YAML/JSON catalog seed validated against Skill Taxonomy
Ready to evaluate?
See the engine in operation.
A structured demo gives your technical and commercial teams a direct view of the matching and scoring pipeline against your specific job profiles.