Heartflow, Inc.
34787cfe200d43b68d0a65148146b018
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-24T04:56:33.841397+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
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

Business Model Archetype Classification

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

SG-010 Digitization WHAT High
Direct: business_model_type_primary=Cloud-native SaaS/analytics; AWS termination would cause 30-day critical outage requiring 6-12 month migration, disrupting hospital integrations; marginal_cost_of_growth=Near-zero marginal cost per additional FFR-CT analysis after fixed R&D/infrastructure; revenue doubling requires <20% headcount increase—highly scalable
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High
SG-022
Layer Player
HOW High
SG-025
Long Tail
WHAT High

Hybrid Combination

Digitization (SG-010) WHAT provides the core structure, combined with Product to Capability (SG-036) + Subscription (SG-049) + Layer Player (SG-022) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 5 Medium: 25 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Pre-revenue-positive medtech; raised ~$240M+ in equity; modest debt, likely net cash position post-Series E/F rounds reducing leverage sensitivity
Inferred
Agent_Inference
interest_rate_sensitivity
Equity-funded growth-stage company; rising rates increase cost of future capital raises and pressure valuation multiples on DCF basis significantly
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
TSMC/Taiwan semiconductor fabs for compute hardware; AWS US-East infrastructure concentration as primary cloud dependency
Inferred
Agent_Inference
international_expansion_readiness
EU (EUR), UK (GBP), Japan (JPY) are top international markets; EUR/USD and GBP/USD volatility directly compress reimbursement-denominated revenue
Inferred
Agent_Inference
geographic_footprint
~70% US revenue; EU and UK represent meaningful share; JPY and GBP devaluation risk moderate given limited Japan penetration currently
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
AWS likely represents non-substitutable infrastructure layer; FDA-cleared AI pipeline tightly coupled to specific cloud compute environment
Inferred
Agent_Inference
business_model_type_primary
Cloud-native SaaS/analytics; AWS termination would cause 30-day critical outage requiring 6-12 month migration, disrupting hospital integrations
Inferred
Agent_Inference
business_model_type_secondary
Per-analysis fee model layered on SaaS; cloud dependency makes secondary on-premise fallback implausible within short notice window
Inferred
Agent_Inference
switching_cost_profile
High API coupling to hospital EHR/PACS systems (Epic, GE); re-integration costs and FDA re-clearance risk creates strong clinical workflow lock-in
Inferred
Agent_Inference
howey_test_risk_index
Revenue from per-analysis fees and hospital contracts; no investment contract or profit-sharing structure—Howey Test risk is negligible, near zero
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
High GDPR exposure: cardiac CT DICOM data processed cross-border; CCPA applies to California patients; DPA agreements and data residency controls required
Inferred
Agent_Inference
antitrust_exposure_flag
Low near-term antitrust risk; niche FFR-CT market with Siemens/GE as indirect competitors; potential concern if hospital system exclusivity clauses expand
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 per-analysis transactional fees (~60-70%) with growing multi-year hospital enterprise contracts (~30-40% recurring); transitioning toward subscription
Inferred
Agent_Inference
monetization_vector
Per-analysis fee (~$1,000-$1,500 per HeartFlow FFRCT analysis) billed to hospitals/payers; volume-tiered enterprise contracts for high-volume centers
Inferred
Agent_Inference
pricing_architecture
Per-unit pricing vulnerable to payer reimbursement rate cuts (CMS/CPT code dependency); bundled payment models could compress per-analysis realization
Inferred
Agent_Inference
pricing_power_rating
Moderate-high; sole FDA-cleared noninvasive FFRCT platform with strong clinical evidence base, but reimbursement rates set externally by CMS/payers
Inferred
Agent_Inference
target_gross_margin_bracket
76.8% Gross Margin (Premium (>60%))
High
SEC-XBRL
churn_vulnerability_index
No meaningful free-rider problem; paid per-analysis model with clinical workflow integration; churn risk from budget freezes or competing modalities
Inferred
Agent_Inference
headcount_cost_structure
Sublinear growth model; AI analysis is automated, marginal cost per additional scan is near-zero compute cost; commercial/support headcount scales modestly
Inferred
Agent_Inference
marginal_cost_of_growth
Near-zero marginal cost per additional FFR-CT analysis after fixed R&D/infrastructure; revenue doubling requires <20% headcount increase—highly scalable
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC likely declines via network referrals; LTV:CAC improves as per-analysis volume per hospital site compounds; sales cycle remains 6-18 months
Inferred
Agent_Inference
network_effect_present
Weak direct network effects; indirect data network effect as more scans improve AI model accuracy, creating modest but real competitive moat over time
Inferred
Agent_Inference
asset_efficiency_ratio
-32.5% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Moderate resilience; cardiac diagnostics have clinical urgency but elective procedure deferral in recessions reduces scan volumes and revenue directly
Inferred
Agent_Inference
customer_segment_primary
Hospital cardiology and radiology departments (large academic medical centers and integrated health systems) represent primary buyers; top 10 IDNs likely >40% revenue
Inferred
Agent_Inference
customer_segment_secondary
Interventional cardiologists and referring physicians as clinical champions; payers (CMS, commercial insurers) as indirect but critical reimbursement gatekeepers
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
2.9% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001464521
High
SEC-EDGAR
ticker
HTFL
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_03PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01FAIL2026-07-241 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.