Galenfeha, Inc.
b6e8c06ab061424bab39fa120ef42a78
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-24T08:36:22.819730+00:00

Business Model Classification Tokens

contract_cycle_length
null
Inferred
Pending — BM Dev Shop classification run
enterprise_sales_motion
null
Inferred
Pending — BM Dev Shop classification run
procurement_complexity
null
Inferred
Pending — BM Dev Shop classification run
vendor_lock_coefficient
null
Inferred
Pending — BM Dev Shop classification run
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-049 Subscription VALUE High
Direct: monetization_vector contains [Primary monetization via hardware unit sales to oil and gas operators; secondary via maintenance contracts and data monitoring subscriptions]; revenue_model_type=Predominantly transactional (~85-90%); equipment sales and project-based contracts dominate with limited recurring service/maintenance retainer revenue
SG-009
Customer Loyalty
WHO High
SG-014
Flat Rate
VALUE High
SG-037
Product as a Service
VALUE High
SG-024
Lock-in
WHO High
SG-036
Product to Capability
WHAT High

Hybrid Combination

Subscription (SG-049) VALUE provides the core structure, combined with Customer Loyalty (SG-009) + Flat Rate (SG-014) + Product as a Service (SG-037) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 6 Medium: 15 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
-24.29x Total Debt / Equity (Negative equity)
High
SEC-XBRL
interest_rate_sensitivity
Minimal debt leverage; micro-cap with near-zero long-term debt means 200bps rate rise has negligible direct interest expense impact but raises equity cost of capital materially
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
Gulf Coast oilfield equipment suppliers and Chinese electronics component manufacturers represent primary geopolitical chokepoints for flow measurement hardware
Inferred
Agent_Inference
international_expansion_readiness
Negligible international revenue; essentially 100% domestic US operations means sovereign currency devaluation exposure is near-zero currently
Inferred
Agent_Inference
geographic_footprint
Operations concentrated in Texas/Oklahoma oil patch; no material international revenue so sovereign currency risk is effectively null
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
High dependency on specialized flow meter and sensor component suppliers; single-source hardware vendors likely exceed 30% of input costs given small scale
Inferred
Agent_Inference
business_model_type_primary
Hardware-centric with minimal cloud infrastructure reliance; AWS/GCP/Azure termination would cause minor disruption, not existential threat
Inferred
Agent_Inference
business_model_type_secondary
IoT data telemetry and monitoring software layer represents secondary model; cloud termination would require 60-90 day migration but is survivable
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; proprietary hardware-software stack means customers face switching costs but company itself has limited third-party API dependencies
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; revenue model based on sale of physical flow measurement equipment and services, not investment contracts or profit-sharing schemes
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR exposure given US-only operations; CCPA risk low due to B2B industrial client base with no significant consumer personal data collection
Inferred
Agent_Inference
antitrust_exposure_flag
Negligible antitrust risk; sub-scale micro-cap with immaterial market share in oilfield services and flow measurement equipment markets
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 (~85-90%); equipment sales and project-based contracts dominate with limited recurring service/maintenance retainer revenue
Inferred
Agent_Inference
monetization_vector
Primary monetization via hardware unit sales to oil and gas operators; secondary via maintenance contracts and data monitoring subscriptions
Inferred
Agent_Inference
pricing_architecture
Cost-plus pricing on hardware; limited pricing power stress resilience given commodity-linked end-market and lack of proprietary IP moat
Inferred
Agent_Inference
pricing_power_rating
Weak pricing power (2/10); undifferentiated product category with established competitors and oil price-sensitive customers who prioritize cost reduction
Inferred
Agent_Inference
target_gross_margin_bracket
118.4% Gross Margin (Premium (>60%))
High
SEC-XBRL
churn_vulnerability_index
No meaningful free-rider problem; hardware-gated access prevents leakage, but high churn risk due to oil price cyclicality and project-based purchasing
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is headcount-linear; manufacturing, installation, and field service operations require proportional staffing increases with scale
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost of growth; each new contract requires incremental hardware, labor, and logistics spend with minimal software-style operating leverage
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Galenfeha does not operate a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
Unit economics at 10x scale remain challenged; CAC-to-LTV ratio is unfavorable given transactional sales cycles and low repeat purchase frequency
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; industrial IoT hardware sales do not benefit from user-base growth or data network flywheel dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
Low AI displacement risk near-term; physical installation and field calibration services require human labor not easily automated
Inferred
Agent_Inference
recession_resistance_tier
Tier 4 (highly cyclical); revenue directly correlated with oil and gas capex budgets which collapse during recessions and commodity downturns
Inferred
Agent_Inference
customer_segment_primary
Small-to-mid-size oil and gas operators and pipeline companies in US onshore basins, primarily Permian and Eagle Ford
Inferred
Agent_Inference
customer_segment_secondary
High customer concentration risk; given micro-cap scale, top 3-5 customers likely represent 60-80% of total revenue with significant single-customer dependency
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
0.0% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001574676
High
SEC-EDGAR
ticker
NGHI
High
SEC-EDGAR

Business Model Components

Core Space

> *Pending Turn 2 — Business Model Type Agent population.*

Interaction Modes

> *Pending Turn 2 — Business Model Type Agent population.*

Product Matrix

> *Pending Turn 2 — Business Model Type Agent population.*

Historical Evolution Log

Live Operational Signals

Signal DateSignal TypeSummary
Source

Evaluation Gate — Persona Stress Tests

SKILL_BUFFETT_VAL_03PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-24no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.