debt_leverage_profile
Micro-cap edtech/staffing firm; estimated debt-to-equity below 0.5x; 20% rate rise adds minimal interest burden given low absolute debt
Inferred
Agent_Inference
interest_rate_sensitivity
Low sensitivity; limited long-term fixed-rate debt exposure; 20% rate increase likely impacts borrowing cost by under $500K annually
Inferred
Agent_Inference
geopolitical_supply_exposure
Medium intensity; US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
China-based educational content production and Southeast Asian technology vendor concentration represent primary geopolitical chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Revenue concentrated in China and Southeast Asia; RMB and MYR devaluation risk moderate; limited natural hedging mechanisms in place
Inferred
Agent_Inference
geographic_footprint
Primary markets: China, Malaysia, Singapore; RMB depreciation is highest sovereign currency risk given majority revenue base in China
Inferred
Agent_Inference
commodity_exposure_profile
Medium intensity; commodities: Steel, Aluminum, Copper, Crude Oil (fuel), Rare Earth Elements, Plastics/Resins; geopolitical: US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Dependency on Chinese government-approved education platforms and local LMS providers likely exceeds 30% of operational input; moderate lock-in risk
Inferred
Agent_Inference
business_model_type_primary
EdTech/services hybrid; cloud migration to AWS or Alibaba Cloud disruption would cause 2-4 week operational outage and material revenue impact
Inferred
Agent_Inference
business_model_type_secondary
Secondary staffing/training services model is less cloud-dependent; physical delivery component provides partial continuity buffer
Inferred
Agent_Inference
switching_cost_profile
Moderate API coupling to Chinese educational platform ecosystems; switching costs elevated due to regulatory and data localization constraints
Inferred
Agent_Inference
howey_test_risk_index
Primary revenue from educational services and staffing; low Howey Test risk — no profit-from-others'-efforts structure detected
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
High exposure to China's PIPL and moderate GDPR risk if EU students enrolled; CCPA exposure minimal given limited US user base
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates in fragmented edtech/staffing market with sub-1% market share; no dominant position in any segment
Inferred
Agent_Inference
regulatory_exposure_profile
Medium burden; regimes: FAA, DOT, OSHA, EPA, ITAR, FTC; Export controls and defense procurement rules create contract concentration risk.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
Predominantly transactional (course fees, placement fees); estimated recurring revenue below 20% of total; high churn vulnerability
Inferred
Agent_Inference
monetization_vector
Per-course enrollment fees and corporate training contracts; limited subscription monetization; project-based staffing placements supplement revenue
Inferred
Agent_Inference
pricing_architecture
Cost-plus pricing with limited premium tier differentiation; vulnerable to commoditization pressure from lower-cost regional competitors
Inferred
Agent_Inference
pricing_power_rating
Low pricing power; commodity-adjacent edtech and staffing market; estimated <5% annual price increase feasibility without customer loss
Inferred
Agent_Inference
target_gross_margin_bracket
Estimated gross margin 30–45%; staffing segment dilutes margins from higher-margin training content delivery
Inferred
Agent_Inference
churn_vulnerability_index
High free-rider leakage risk via free content previews; low platform stickiness; annual cohort retention estimated below 40%
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is headcount-linear; instructor and placement consultant additions required proportionally with revenue scale
Inferred
Agent_Inference
marginal_cost_of_growth
Sublinear scaling unlikely without significant platform automation investment; doubling revenue estimated to require ~80% headcount increase
Inferred
Agent_Inference
franchise_compliance_risk
No traditional franchise model identified; however, regional training center partnerships carry compliance drift risk under Chinese education regulations
Inferred
Agent_Inference
customer_acquisition_metric
CAC likely $50–$200 per student; at 10x scale, CAC efficiency gains depend on brand recognition and digital channel maturation
Inferred
Agent_Inference
network_effect_present
Weak network effects; platform value does not materially increase with user growth; alumni networks underdeveloped as retention mechanism
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk moderate-high; content delivery and basic tutoring functions susceptible to LLM substitution within 3–5 years
Inferred
Agent_Inference
recession_resistance_tier
Moderate recession resistance; vocational training demand historically counter-cyclical, but discretionary premium programs face enrollment decline
Inferred
Agent_Inference
customer_segment_primary
Individual students and young professionals in China and Southeast Asia seeking vocational or skills-based certification programs
Inferred
Agent_Inference
customer_segment_secondary
Corporate clients seeking employee upskilling and workforce placement services; estimated <30% of revenue but higher average contract value
Inferred
Agent_Inference
characteristic_occupations
["11-0000 Management Occupations", "13-0000 Business and Financial Operations Occupations", "15-0000 Computer and Mathematical Occupations", "17-0000 Architecture and Engineering Occupations", "23-0000 Legal Occupations", "33-0000 Protective Service Occupations", "37-0000 Building and Grounds Cleaning and Maintenance Occupations", "41-0000 Sales and Related Occupations", "43-0000 Office and Administrative Support Occupations", "47-0000 Construction and Extraction Occupations", "49-0000 Installation, Maintenance, and Repair Occupations", "51-0000 Production Occupations", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.3 (HIL — ~30% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capital allocation skewed toward legacy physical training infrastructure; limited reallocation toward digital platform or AI-driven future-state investment
Inferred
Agent_Inference
sec_cik
0001916416
High
SEC-EDGAR
ticker
INTJ
High
SEC-EDGAR