Ocean Thermal Energy Corp
9f855d4559a54c27bc4f26e446a4088d
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-21T14:40:20.989578+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
billing_cadence
null
Inferred
Pending — BM Dev Shop classification run
churn_rate_benchmark
null
Inferred
Pending — BM Dev Shop classification run
annual_recurring_revenue_ratio
null
Inferred
Pending — BM Dev Shop classification run
free_trial_conversion_rate
null
Inferred
Pending — BM Dev Shop classification run
subscriber_ltv_model
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 government grants, DOE/DOD contracts, and project development fees; no recurring commercial energy sales at meaningful scale yet]; revenue_model_type=Near 0% recurring subscription revenue; revenue is project-based (transactional) from government contracts, grants, and one-off engineering/feasibility study fees
SG-036
Product to Capability
WHAT High
SG-010
Digitization
WHAT High
SG-039
Public Private Partnership
HOW High

Hybrid Combination

Subscription (SG-049) VALUE provides the core structure, combined with Product to Capability (SG-036) + Digitization (SG-010) + Public Private Partnership (SG-039) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 4 Medium: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
-0.01x Total Debt / Equity (Negative equity)
High
SEC-XBRL
interest_rate_sensitivity
High sensitivity; capital-intensive OTEC infrastructure requires long-term project financing, so a 200bps rate rise could increase debt service costs 15-25% and render marginal projects uneconomical
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Deep-sea mooring and heat exchanger components sourced via Pacific Rim manufacturing (Taiwan Strait risk) and rare-earth-dependent turbine parts via China-controlled supply chains
Inferred
Agent_Inference
international_expansion_readiness
Primary markets—Pacific Island nations, Caribbean, Hawaii—use USD or USD-pegged currencies, limiting direct FX devaluation exposure; minimal sovereign currency risk currently
Inferred
Agent_Inference
geographic_footprint
Operations concentrated in USD or USD-pegged jurisdictions (Hawaii, Pacific Islands, Caribbean); sovereign currency devaluation risk is low but host-nation political risk is moderate
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Natural Gas, Coal, Uranium, Crude Oil, Copper (grid), Lithium (storage); geopolitical: European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Single-source dependency on specialized heat exchanger and cold-water pipe fabricators likely exceeds 30% of project capex; no commodity substitute exists at commercial scale
Inferred
Agent_Inference
business_model_type_primary
Cloud infrastructure termination would have minimal operational impact; OTEC is a hardware/energy-generation business with physical plant operations, not cloud-dependent SaaS
Inferred
Agent_Inference
business_model_type_secondary
Any project management, SCADA monitoring, or engineering simulation software could migrate within 60-90 days; no critical cloud lock-in identified
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; operations are physical energy infrastructure with proprietary mechanical systems, not software API-dependent
Inferred
Agent_Inference
howey_test_risk_index
Revenue model is energy sales and government grants, not investment contracts; Howey Test risk is low unless project equity is sold as passive investment vehicles to retail investors
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; company collects negligible personal consumer data; primary data is operational/environmental, not personal data subject to privacy regulation
Inferred
Agent_Inference
antitrust_exposure_flag
Negligible antitrust risk; company holds de minimis market share in energy markets and operates in a nascent, non-dominant niche with no price-setting power
Inferred
Agent_Inference
regulatory_exposure_profile
Very High burden; regimes: FERC, NERC, EPA, NRC, State PUCs, DOE; Rate-case lag and clean-energy mandates compress returns on regulated asset base.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
Near 0% recurring subscription revenue; revenue is project-based (transactional) from government contracts, grants, and one-off engineering/feasibility study fees
Inferred
Agent_Inference
monetization_vector
Primary monetization via government grants, DOE/DOD contracts, and project development fees; no recurring commercial energy sales at meaningful scale yet
Inferred
Agent_Inference
pricing_architecture
Pricing tied to project bids and government contract terms; cost-plus structure with limited flexibility; extremely vulnerable to capex overruns given immature supply chain
Inferred
Agent_Inference
pricing_power_rating
Very low pricing power; competes against subsidized conventional and renewable energy; price is dictated by government procurement and grid parity benchmarks
Inferred
Agent_Inference
target_gross_margin_bracket
19.5% Gross Margin (Thin (<20%))
High
SEC-XBRL
churn_vulnerability_index
No free-rider leakage; technology is proprietary and capital-intensive; however, grant dependency creates funding-cycle churn risk if government priorities shift
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is headcount-linear to superlinear at current stage; each new project requires dedicated engineering, marine operations, and project management teams
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is very high; each incremental MW of OTEC capacity requires full project capex ($10,000-$20,000+/kW estimated), not scalable software economics
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains high and government-dependent; unit economics improve only if standardized modular OTEC platforms reduce per-project engineering costs by 40%+
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; OTEC is a standalone physical energy asset; scale advantages are marginal cost reductions in manufacturing, not demand-side network effects
Inferred
Agent_Inference
asset_efficiency_ratio
-4667.2% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Low recession resistance; discretionary government R&D and infrastructure budgets are first cut in downturns; company has no revenue base insulating it from funding freezes
Inferred
Agent_Inference
customer_segment_primary
U.S. federal government agencies (DOE, DOD, Navy) represent estimated 70%+ of revenue; extreme customer concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Pacific Island and Caribbean municipal utilities and territorial governments are secondary customers; small budgets and high political risk amplify concentration vulnerability
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", "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"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.34 (HIL — ~34% 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
0000827099
High
SEC-EDGAR
ticker
CPWR
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_03PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01FAIL2026-07-211 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.