debt_leverage_profile
Minimal long-term debt; primarily equity-financed with ~$150M cash runway; 20% rate rise has negligible direct debt-service impact
Inferred
Agent_Inference
interest_rate_sensitivity
Low sensitivity to rate increases on debt; higher rates pressure equity valuation multiples for pre-profit growth-stage medtech
Inferred
Agent_Inference
geopolitical_supply_exposure
Low intensity; China and India supply >60% of global API inputs, creating concentration risk.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Semiconductor fab concentration in Taiwan (X-ray tube components) and rare-earth materials sourced via China-linked supply chains
Inferred
Agent_Inference
international_expansion_readiness
Revenues nascent globally; Israel-shekel, emerging-market currencies (India, Southeast Asia) pose moderate devaluation exposure as commercialization scales
Inferred
Agent_Inference
geographic_footprint
Operations in Israel, US, and pilot markets; shekel depreciation risk meaningful given Israeli R&D cost base vs. USD-denominated revenues
Inferred
Agent_Inference
commodity_exposure_profile
Low intensity; commodities: Active Pharmaceutical Ingredients, Rare Earth Elements, Natural Gas (energy), Plastics/Resins, Ethanol, Packaging Materials; geopolitical: China and India supply >60% of global API inputs, creating concentration risk.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Single-source X-ray tube technology (proprietary cold-cathode source) creates non-substitutable supplier dependency exceeding typical 30% threshold
Inferred
Agent_Inference
business_model_type_primary
Cloud-dependent for AI diagnostics platform (Nanox.AI); 30-day AWS/Azure termination would disrupt SAAS reading services and AI inference pipelines
Inferred
Agent_Inference
business_model_type_secondary
Hardware-as-a-Service (scanning-as-a-service) model complements AI software; hardware disruption is manufacturing-side, not cloud-side
Inferred
Agent_Inference
switching_cost_profile
Moderate API coupling; Nanox.AI integrates with radiology workflows (DICOM/HL7); switching costs elevated once hospital systems embed the diagnostic API
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue model is medical device lease plus AI read fees — not an investment contract; no token or profit-sharing structure
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
High GDPR/CCPA exposure; medical imaging data across EU and US jurisdictions requires strict PHI/PII controls; cross-border data transfer adds complexity
Inferred
Agent_Inference
antitrust_exposure_flag
Low current antitrust risk; sub-scale market share in radiology; proprietary cold-cathode X-ray niche too small to trigger regulatory scrutiny
Inferred
Agent_Inference
regulatory_exposure_profile
Very High burden; regimes: FDA, CMS, HHS, HIPAA, EMA, OIG; Drug pricing legislation and approval delays directly compress revenue visibility.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
Predominantly transactional per-scan fee model today; transitioning toward recurring SaaS-style AI reading subscriptions; recurring share currently below 40%
Inferred
Agent_Inference
monetization_vector
Per-scan usage fee plus AI diagnostic read fee; hardware placed via revenue-share lease, monetizing volume rather than upfront capital sales
Inferred
Agent_Inference
pricing_architecture
Per-scan pricing (~$14–$20 per scan target) vulnerable to hospital price pressure; AI read fee layered on top; margin stress if scan volumes underperform projections
Inferred
Agent_Inference
pricing_power_rating
Weak near-term pricing power; early commercialization, unproven scale, and hospital procurement leverage constrain ability to raise per-scan fees
Inferred
Agent_Inference
target_gross_margin_bracket
Target gross margins 50–65% at scale (AI/software); hardware/service blended margins currently negative to low-single-digit as manufacturing scales
Inferred
Agent_Inference
churn_vulnerability_index
Low free-rider risk; proprietary hardware locks customers into Nanox ecosystem; no open-access equivalent creates natural retention but small installed base
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount at scale; AI reads are software-delivered; doubling scan volume requires minimal incremental clinical headcount
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of incremental scan revenue approaches near-zero on AI software side; hardware deployment capex remains the binding constraint on growth
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC efficiency improves via institutional contracts; but regulatory clearance country-by-country remains a non-scalable bottleneck
Inferred
Agent_Inference
network_effect_present
Weak direct network effects; AI model improves with more scan data (data flywheel), but no user-to-user network dynamic; durability modest
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is dual-edged: Nanox.AI competes with and could be displaced by larger AI radiology players (Aidoc, Rad AI) with greater data scale
Inferred
Agent_Inference
recession_resistance_tier
Moderate recession resistance; diagnostic imaging demand is semi-essential, but hospital capex freezes and deferred elective scans weaken near-term volumes
Inferred
Agent_Inference
customer_segment_primary
Hospitals and imaging centers in underserved/emerging markets; early US deployments targeting rural and community health systems
Inferred
Agent_Inference
customer_segment_secondary
Government health ministries and NGOs in low-resource settings seeking affordable diagnostic infrastructure deployment
Inferred
Agent_Inference
characteristic_occupations
["11-0000 Management Occupations", "13-0000 Business and Financial Operations Occupations", "15-0000 Computer and Mathematical Occupations", "19-0000 Life, Physical, and Social Science Occupations", "21-0000 Community and Social Service Occupations", "23-0000 Legal Occupations", "29-0000 Healthcare Practitioners and Technical Occupations", "31-0000 Healthcare Support Occupations", "41-0000 Sales and Related Occupations", "43-0000 Office and Administrative Support Occupations", "51-0000 Production Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.32 (HIL — ~32% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capital being redeployed from R&D prototype phase toward manufacturing scale-up and international deployment; future-state infrastructure investment dominant
Inferred
Agent_Inference
sec_cik
0001795251
High
SEC-EDGAR
ticker
NNOX
High
SEC-EDGAR