debt_leverage_profile
-0.00x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
Cannabis sector; likely carries high-cost debt (12-18% range); 200bps rate rise adds ~$0.5-1.5M annual interest burden depending on ~$5-10M estimated debt load
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
1) Cannabis cultivation inputs via Canada/Israel agri-supply corridors; 2) Semiconductor/IoT components sourced through Taiwan-China chokepoint for any ag-tech hardware
Inferred
Agent_Inference
international_expansion_readiness
Limited international revenue; Canadian and Israeli markets carry moderate CAD/ILS devaluation risk; USD-denominated contracts partially hedge exposure
Inferred
Agent_Inference
geographic_footprint
Primarily North American (Canada/US); CAD devaluation vs USD is key risk; Israeli shekel exposure if agri-tech operations active; limited emerging-market currency risk
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 risk; proprietary seed genetics suppliers and cannabis licensing bodies are non-substitutable; single cultivar IP supplier likely exceeds 30% input cost
Inferred
Agent_Inference
business_model_type_primary
30-day cloud termination would critically disrupt SaaS/platform operations; estimated 60-90 days to migrate; revenue interruption risk rated HIGH for tech-dependent cannabis platform
Inferred
Agent_Inference
business_model_type_secondary
AgriTech SaaS or cannabis data/compliance platform; secondary hardware/IoT device sales; cloud dependency moderate-to-high for SaaS layer
Inferred
Agent_Inference
switching_cost_profile
Moderate-to-high API coupling risk; if using third-party compliance APIs (Metrc, BioTrackTHC), switching costs are significant due to regulatory integration requirements
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue derived from product/service sales not passive investment returns; no tokenized profit-sharing structure identified; securities classification unlikely
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Cannabis patient/consumer data triggers HIPAA adjacency and CCPA compliance; GDPR exposure if EU operations exist; moderate compliance gap risk given sector regulatory immaturity
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk currently; cannabis market highly fragmented; no dominant market share position identified; future consolidation plays could attract scrutiny
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
Estimated 40-60% recurring (licensing, SaaS subscriptions, compliance retainers); 40-60% transactional (product sales, one-time installations); recurring mix improving with platform maturity
Inferred
Agent_Inference
monetization_vector
B2B SaaS licensing + direct cannabis product/IP licensing; secondary hardware and consulting revenue; subscription platform fees are primary monetization vector
Inferred
Agent_Inference
pricing_architecture
Tiered SaaS pricing likely; stress scenario: commoditization of cannabis compliance tools compresses margins 15-25%; pricing power dependent on proprietary data/IP moat
Inferred
Agent_Inference
pricing_power_rating
Moderate (3/5); cannabis sector price sensitivity high; differentiated IP or compliance automation commands premium but competitive pressure limits sustained price increases
Inferred
Agent_Inference
target_gross_margin_bracket
34.3% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
Moderate free-rider risk if open-source cannabis compliance tools exist; freemium leakage possible; B2B stickiness higher if integrated into licensed operator workflows
Inferred
Agent_Inference
headcount_cost_structure
Semi-linear growth model; R&D and compliance headcount scales sublinearly with revenue; sales/support headcount scales more linearly; estimated 60/40 fixed/variable split
Inferred
Agent_Inference
marginal_cost_of_growth
Platform-based scaling enables sublinear headcount growth; doubling revenue estimated to require only 30-40% headcount increase if SaaS mix dominates over service delivery
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; no franchise network identified; cannabis licensing compliance risk exists at operator level but not traditional franchise drift model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC likely compresses via channel partnerships with cannabis regulators/associations; LTV:CAC ratio estimated 3:1 currently, improving to 5:1 at scale
Inferred
Agent_Inference
network_effect_present
Weak-to-moderate network effects; data aggregation from multiple cultivators strengthens platform intelligence; not a true marketplace network effect; durability rated moderate
Inferred
Agent_Inference
asset_efficiency_ratio
-404.9% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Tier 3 (moderate vulnerability); cannabis demand relatively inelastic but B2B software budgets cut during downturns; compliance mandates provide partial recession buffer
Inferred
Agent_Inference
customer_segment_primary
Licensed cannabis cultivators, processors, and dispensaries (B2B); concentration risk elevated if top 5 clients represent >40% of ARR in fragmented early-stage market
Inferred
Agent_Inference
customer_segment_secondary
Cannabis regulators, government compliance bodies, or pharmaceutical-adjacent research institutions; secondary segment reduces concentration risk but has longer sales cycles
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
8.3% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0001661600
High
SEC-EDGAR
ticker
SATT
High
SEC-EDGAR