NXT Energy Solutions Inc.
5f86bfece8174808ad052b08c5ab2a65
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T17:45:01.942654+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
bundle_discount_depth
null
Inferred
Pending — BM Dev Shop classification run
cross_sell_attach_rate
null
Inferred
Pending — BM Dev Shop classification run
bundle_churn_vs_single_churn
null
Inferred
Pending — BM Dev Shop classification run
bundle_margin_blended
null
Inferred
Pending — BM Dev Shop classification run
upsell_pathway_architecture
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

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

SG-023 Licensing VALUE High
Direct: monetization_vector contains [Project-based fee-for-service surveys plus data licensing; monetization tied to discrete exploration program cycles of NOC/IOC clients.]
SG-035
Premium
WHO Medium
SG-002
Affiliation
VALUE Medium
SG-004
Auction
HOW Medium

Hybrid Combination

Licensing (SG-023) VALUE provides the core structure, combined with Premium (SG-035) + Affiliation (SG-002) + Auction (SG-004) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 1 Medium: 8 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Near-zero long-term debt; minimal leverage. A 200bps rate rise has negligible interest cost impact given cash-funded operations.
Inferred
Agent_Inference
interest_rate_sensitivity
Low sensitivity; NXT carries minimal debt. Rising rates hurt indirectly via client capex budget compression in oil & gas sector.
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Proprietary aircraft sensor deployment relies on (1) aviation fuel/maintenance supply chains and (2) geopolitically sensitive survey regions (MENA, West Africa).
Inferred
Agent_Inference
international_expansion_readiness
Revenue concentrated in USD-denominated oil & gas contracts; limited CAD/local currency exposure in Latin America and Africa creates moderate devaluation risk.
Inferred
Agent_Inference
geographic_footprint
Operations span Canada, Latin America, Middle East, and West Africa; currency devaluation risk highest in Argentina/Venezuela-adjacent markets and sub-Saharan Africa.
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Crude Oil, Natural Gas, Coal, Refined Petroleum Products, Uranium, Steel (equipment); geopolitical: OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Proprietary SFD technology is internally developed; aircraft and specialized operators represent key inputs but no single external vendor exceeds 30% of costs.
Inferred
Agent_Inference
business_model_type_primary
Minimal cloud infrastructure dependency; SFD data processing is largely proprietary and not reliant on AWS/GCP/Azure for core operations.
Inferred
Agent_Inference
business_model_type_secondary
Technology services / geophysical survey provider; secondary model involves data licensing and interpretation reports to NOCs and IOCs.
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; NXT's SFD technology is proprietary and not integrated into third-party API ecosystems. Clients face high switching costs leaving NXT.
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; revenue derived from direct service contracts for geophysical surveys, not investment instruments or token-based schemes.
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; clients are B2B oil & gas corporations, not consumers. Geophysical data sovereignty risk exists in host-country data-sharing regulations.
Inferred
Agent_Inference
antitrust_exposure_flag
Minimal antitrust risk; NXT operates in a niche proprietary technology segment with limited market share concentration concerns.
Inferred
Agent_Inference
regulatory_exposure_profile
High burden; regimes: EPA, FERC, DOE, CFTC, OSHA, SEC; Accelerating emissions mandates and methane rules threaten capex economics.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
Predominantly transactional (~85-90%); project-based survey contracts dominate. Multi-year framework agreements exist but are not the primary revenue driver.
Inferred
Agent_Inference
monetization_vector
Project-based fee-for-service surveys plus data licensing; monetization tied to discrete exploration program cycles of NOC/IOC clients.
Inferred
Agent_Inference
pricing_architecture
Cost-plus project pricing with day-rate and mobilization components; pricing is negotiated per contract, limiting standardized scalability.
Inferred
Agent_Inference
pricing_power_rating
Moderate pricing power due to proprietary SFD technology uniqueness, but constrained by oil price cycles and client budget volatility.
Inferred
Agent_Inference
target_gross_margin_bracket
Estimated gross margins 40-55%; hardware/aircraft mobilization costs compress margins, but proprietary IP component supports above-average service margins.
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage problem; SFD surveys are paid proprietary services. Churn risk is high due to project-based, non-recurring contract structure.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is headcount-linear to semi-linear; each additional survey program requires specialized pilots, scientists, and field operators.
Inferred
Agent_Inference
marginal_cost_of_growth
Scaling requires additional aircraft, crew, and survey equipment; marginal cost of growth is moderate-high, limiting operating leverage at 2x scale.
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; NXT does not operate a franchise model.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC would rise significantly due to limited addressable NOC/IOC client pool; unit economics compress without geographic diversification.
Inferred
Agent_Inference
network_effect_present
No meaningful network effect; SFD survey value is client-specific and does not improve with additional users on the platform.
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low-moderate; SFD physics-based sensing is proprietary, but AI-enhanced seismic interpretation could partially commoditize data analysis.
Inferred
Agent_Inference
recession_resistance_tier
Low recession resistance; revenue directly correlated with oil & gas exploration capex, which is highly cyclical and first-cut in downturns.
Inferred
Agent_Inference
customer_segment_primary
National Oil Companies (NOCs) and major International Oil Companies (IOCs) representing bulk of survey contract revenue.
Inferred
Agent_Inference
customer_segment_secondary
Junior and mid-size exploration companies seeking cost-effective pre-drill risk reduction; secondary and more sporadic revenue contributors.
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", "19-0000 Life, Physical, and Social Science Occupations", "23-0000 Legal 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", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.33 (HIL — ~33% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capital is primarily maintenance-oriented for existing aircraft/sensor assets; limited reallocation toward future-state infrastructure or technology scaling evident.
Inferred
Agent_Inference
sec_cik
0001009922
High
SEC-EDGAR
ticker
NSFDF
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_03PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-20no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.