New ERA Energy & Digital, Inc.
3a5e709ab8d746a0b22a1f7178b801f7
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T06:07:40.482359+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
consumer_acquisition_channel
null
Inferred
Pending — BM Dev Shop classification run
brand_loyalty_index
null
Inferred
Pending — BM Dev Shop classification run
impulse_vs_considered_purchase
null
Inferred
Pending — BM Dev Shop classification run
retail_distribution_reach
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
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-049 Subscription VALUE High
Direct: monetization_vector contains [Primary monetization via B2B software subscriptions and energy optimization platform fees; secondary via professional services and data analytics licensing.]; revenue_model_type=Estimated 60–70% recurring (SaaS subscriptions, managed service contracts); 30–40% transactional (implementation, integration, one-time project fees).
SG-036
Product to Capability
WHAT High
SG-009
Customer Loyalty
WHO High
SG-014
Flat Rate
VALUE High
SG-023
Licensing
VALUE High
SG-037
Product as a Service
VALUE High
SG-010
Digitization
WHAT High

Hybrid Combination

Subscription (SG-049) VALUE provides the core structure, combined with Product to Capability (SG-036) + Customer Loyalty (SG-009) + Flat Rate (SG-014) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 11 Medium: 15 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Early-stage company likely carries minimal long-term debt; a 20% rate rise would modestly increase cost of any variable-rate credit facilities, estimated <$500K annual impact.
Inferred
Agent_Inference
interest_rate_sensitivity
Low sensitivity expected; equity-funded startup with limited debt exposure means 20% rate increase has negligible direct interest cost impact on operations.
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
Primary chokepoints: (1) Taiwan/TSMC semiconductor supply for digital hardware components; (2) US-China tech export controls affecting energy management chipsets.
Inferred
Agent_Inference
international_expansion_readiness
Limited international revenue reported; currency devaluation exposure is minimal but emerging markets entry would face MXN, BRL, or INR volatility risks.
Inferred
Agent_Inference
geographic_footprint
Primarily US-domiciled operations; international revenue share estimated below 10%, limiting sovereign currency devaluation exposure materially.
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
High dependency risk on AWS or Azure cloud infrastructure and likely one primary energy data API provider; substitution would require 6–12 months migration effort.
Inferred
Agent_Inference
business_model_type_primary
Platform/SaaS model combining energy management and digital services; cloud termination would cause critical service disruption requiring emergency multi-cloud migration.
Inferred
Agent_Inference
business_model_type_secondary
Hybrid B2B services and software licensing; secondary revenue from consulting or integration services could sustain partial operations during cloud outage.
Inferred
Agent_Inference
switching_cost_profile
Moderate-to-high API coupling risk; proprietary energy analytics integrations and customer data dependencies create meaningful switching friction for enterprise clients.
Inferred
Agent_Inference
howey_test_risk_index
Revenue model appears service/SaaS-based, not investment contract; Howey Test risk is low unless tokenized energy credits or digital asset components are introduced.
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR/CCPA exposure if collecting energy usage data from EU or California consumers; compliance infrastructure likely nascent at current company stage.
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk given early-stage market position; no dominant market share in energy-digital convergence sector to trigger regulatory scrutiny currently.
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
Estimated 60–70% recurring (SaaS subscriptions, managed service contracts); 30–40% transactional (implementation, integration, one-time project fees).
Inferred
Agent_Inference
monetization_vector
Primary monetization via B2B software subscriptions and energy optimization platform fees; secondary via professional services and data analytics licensing.
Inferred
Agent_Inference
pricing_architecture
Tiered SaaS pricing likely vulnerable to mid-market compression; enterprise tier pricing power is moderate given limited brand recognition versus established competitors.
Inferred
Agent_Inference
pricing_power_rating
Moderate (3/5); differentiated energy-digital integration value proposition provides some pricing leverage but market is competitive with larger incumbents.
Inferred
Agent_Inference
target_gross_margin_bracket
Estimated 55–70% gross margin targeting; software/platform revenue anchors high margins while services revenue dilutes blended margin toward lower bound.
Inferred
Agent_Inference
churn_vulnerability_index
Moderate free-rider leakage risk if freemium tier exists; enterprise contracts with multi-year commitments reduce churn but SMB segment may show 15–25% annual churn.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; platform scalability allows doubling revenue with ~40–50% headcount increase, primarily in sales and customer success.
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is predominantly sales/marketing and cloud infrastructure; software delivery costs scale favorably, supporting improving unit economics at scale.
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC efficiency likely improves via brand recognition and referral effects; current CAC/LTV ratio estimated at 1:3–4, targeting 1:5+ at scale.
Inferred
Agent_Inference
network_effect_present
Weak-to-moderate network effects; energy data aggregation improves platform value with more users but core product is not inherently network-dependent.
Inferred
Agent_Inference
asset_efficiency_ratio
-209.3% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Moderate resilience; energy cost optimization tools gain appeal during downturns as enterprises cut costs, but capital expenditure freezes may delay new contracts.
Inferred
Agent_Inference
customer_segment_primary
Mid-to-large commercial and industrial enterprises seeking energy cost reduction and digital transformation; concentration risk if top 5 clients exceed 40% of revenue.
Inferred
Agent_Inference
customer_segment_secondary
Municipal utilities and government energy agencies as secondary segment; provides revenue stability but introduces procurement cycle delays and budget dependency risks.
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
312.7% CapEx / Revenue (High-CapEx Infrastructure)
High
SEC-XBRL
sec_cik
0002028336
High
SEC-EDGAR
ticker
NUAI
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_01FAIL2026-07-201 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.