# Swift Medical Financial Model

AI-powered wound care management platform enabling research-grade clinical imaging at any bedside via smartphone

- Canonical: https://finamodel.com/startups/swift-medical
- Excel download: https://finamodel.com/startup-models/swift-medical.xlsx
- Category: Health-tech
- Model type: SaaS ARR / Valuation
- Funding round: Series B
- Funding: $35M
- Founded: 2021
- Geography: United States (all 50 states represented in traction map) [DECK, slide 14]
- Customer: B2B2C

## About the company

Swift Medical provides AI-powered wound-care management and smartphone clinical imaging at the bedside. Health systems use its platform to standardise documentation, assess wounds, and support care decisions where consistent imaging and measurement can improve clinical coordination.

The enterprise platform can expand through clinicians, patients monitored, sites, and care programmes. Commercial performance depends on health-system contracts, workflow adoption, implementation, usage, and the integration of imaging and data capabilities into routine wound-care delivery.

The model forecasts health-system contracts, clinicians or patients monitored, subscription or usage fees, implementation, expansion, and cloud costs. It includes sales cycles, customer success, AI processing, product investment, gross margin, operating cash flow, cash burn, and runway.

## What's included

- 5-year monthly revenue build with stage-appropriate growth assumptions
- Full P&L, headcount plan, and operating-expense schedule
- Cash-flow statement, runway, and burn-rate tracking
- Valuation via exit multiple with a DCF cross-check
- Returns analysis with MOIC and IRR
- Unit economics including CAC, LTV, payback, and cohort retention

## Product & value proposition

- Platform for remote clinical imaging combining telemedicine, computer vision, and deep compute
- Enables 3D wound imaging and analysis on any standard smartphone - no special attachments required
- Clinician-facing dashboard: wound status tracking, AI-driven clinical intelligence, preventive/personalised care alerts
- Patient-facing mobile app: patients photograph wounds at home and share with providers for remote monitoring
- Covers the full care continuum: primary care, hospital care, home/community care, long-term care
- Core value prop: replaces manual, error-prone assessments (45% error rate cited) with standardised AI analysis delivered by generalist nurses with <10h training

## Market

- Global wound care market described as "greenfield $20B"
- $96B spent on wounds for Medicare in the US
- 30% of all licensed beds in the US have wounds
- 40% of all wounds are treated improperly
- Tailwind: COVID-driven acceleration of remote/home care; value-based care migration; new remote-care reimbursement codes

## Revenue model

- Not explicitly stated in deck
- Implied B2B SaaS / per-bed or per-site subscription sold to healthcare institutions (hospitals, long-term care facilities, home care agencies)
- Patient app implied as free-to-patient, provider-purchased
- No pricing tiers, ASP, or contract length disclosed

## Traction & metrics

- 4,100 sites adopted across every state in the US
- 475,000 beds monitored monthly
- Described as having attracted "the biggest names in healthcare" (no names listed)
- User satisfaction (clinician survey):
  - 100% rated platform "intuitive and easy to use"
  - 90% said they can "easily track healing"
  - 85% reported "faster and more confident care decisions"
- No ARR, MRR, revenue growth, or customer count (logos) disclosed

## Unit economics

- Clinical outcome metrics (proxy for ROI justification):
  - 77% decrease in wound prevalence
  - 20% reduction in home visits
  - 7% reduction in hospitalizations
- No CAC, LTV, gross margin, or payback period disclosed

## Competition / moat

- Moat framing: AI + empathy ("Our secret is empathy, powered by AI"); proven clinical outcomes; network scale (4,100 sites, 475k beds)
- Implied differentiators: smartphone-native 3D imaging (no attachments), full care-continuum coverage, deep outcomes data moat from scale
- Direct competitors: Not named in deck

## Recommended financial model

- **Archetype + why:** B2B SaaS / per-bed subscription model. Revenue is institutional, recurring, and scales with beds monitored - the 475k beds KPI is the natural billing unit. Optionally layer a per-site fee alongside per-bed. Classic SaaS ARR build suits the structure.

- **Forecast horizon & granularity:** 5-year annual model (Year 1–5) with monthly detail for Year 1 (to track site ramp and bed attach rate). Healthcare B2B sales cycles are long; monthly granularity beyond Year 1 adds noise not signal.

- **Key drivers & assumptions:**
  - Total addressable beds in US licensed facilities: ~900k–1.1M
  - Current penetration: 475k beds monitored; 4,100 sites
  - Average beds per site: ~116
  - Annual contract value per site (ACV):
  - Net revenue retention (NRR):
  - New site adds per year:
  - Gross margin:
  - S&M as % of revenue:
  - R&D as % of revenue:
  - G&A as % of revenue:
  - Churn (site-level):

- **Scenarios (Base / Bull / Bear - which variables flex):**
  - Bear: New site adds +250/yr, ACV at low end, gross margin 70%, churn 8%
  - Base: New site adds +500/yr, ACV at mid-point, gross margin 75%, churn 6%
  - Bull: New site adds +800/yr, ACV at high end, NRR 115%, gross margin 80%, churn 4%

- **Required sheets / outputs:**
  1. Assumptions - all drivers with scenario toggle (Base/Bull/Bear)
  2. Sites & Beds build - cohort model: new sites by year, beds per site ramp, cumulative active sites
  3. ARR Bridge - new ARR, expansion ARR, churned ARR, ending ARR by period
  4. P&L - Revenue, COGS, Gross Profit, S&M, R&D, G&A, EBITDA, Net Income
  5. Cash Flow / Runway - OpEx burn, implied cash need (no funding disclosed, so model cash consumption)
  6. KPI Dashboard - ARR, sites, beds, ACV, gross margin %, NRR, CAC payback (once inputs estimated)

## Frequently asked questions

### Is the Swift Medical financial model free?

Yes. The Swift Medical model is a free Excel download with live formulas.

### Can I change the assumptions?

Yes. The workbook is editable and its live formulas recalculate when assumptions change.