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Swift Medical Financial Model

Health-tech Startup Financials (Free Excel Download)

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

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About this model

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.

A turnkey financial model

Live formulas, no hardcoded values

Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.

All assumptions in one tab

Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.

Statements always balancing

For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.

Distinct schedules for clarity

Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.

No hidden macros or external links

There are no unexplained external workbook links or macros to undermine auditability or portability.

Changes flow through the model

Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.

About Swift Medical

Read the pitch deck
Swift Medical pitch deck cover
View on makeslides.com
Total raised
$35.0M
Funding round
Series B
Founded
2021
Category
Health-tech
Customer
B2B2C
Geography
United States

How to build a detailed financial model for Swift Medical

A complete walkthrough of the business, drivers, and assumptions behind the downloadable Swift Medical model - distilled from its pitch deck and publicly available information.

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

Is the Swift Medical financial model free?+

Yes. The Swift Medical model is a free Excel (.xlsx) download with live formulas. Sign up with your email and the workbook is yours to keep, review, and edit.

What's included in the model?+

A 5-year monthly forecast with P&L, cash flow and runway, valuation (exit multiple plus a DCF cross-check), MOIC/IRR returns, and unit economics, with live formulas throughout.

How was this model built?+

It was built from Swift Medical's pitch deck and publicly available information, then structured to investment-banking standards as a fully editable Excel model.

Can I change the assumptions?+

Yes. You can change assumptions and the live formulas will recalculate in the downloadable Excel model.

Have more financial modelling questions? Contact us

Alex Tapio, ex-Deloitte financial modelling expert

Created by ex-finance professionals

Hey, I’m Alex and I created Finamodel.

Over my years in the finance industry I kept building the same models over and over again. Same structure, same assumptions, different logo. So I started building frameworks to turn them into clean, reusable templates.

Every model here is one I’d actually use for a client, and I personally vet each one before it goes up.

I’m not an expert in every industry, but I’ve built enough models to know what belongs in one. And when something is completely foreign to me, I reach out to my network for experts to work on our models with us.

Having a template library on hand cuts a first build from hours to minutes.

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