rev.health← Back to the proforma snapshot
Confidential · v2026-06-20

REV.health — detailed proforma

The complete $4M · SaaS + RCM model — every tab, for diligence. Seed $4.00M · model starts 2026-08.

Figures match the proforma snapshot and the deck. Sections follow the workbook tab order.

1 · Investor Returnthe exit one-pager
Investor proceeds at exit
$111.2M
27.8x on capital
Gross MOIC
27.8x
× your money
Effective annual rate (IRR)
77% / yr
over 5.8 yrs
The math
Investment in (seed)$4.00M
Ownership (pre-dilution)20%
Exit enterprise value @ 10x$555.8M
Revenue run-rate at exit$55.6M
Exit revenue multiple10x
Net gain (proceeds − seed)$107.2M
2 · Summaryheadline KPIs + the single exit calc
Revenue run-rate
$55.6M
final month × 12
EBITDA at end (monthly)
$3.28M
final month
Gross margin
79%
rev − cost-to-serve
Physicians at end
1,150
460 practices
Employees at end
108
total FTE (staffing plan)
Lowest cash balance
$662K
thinnest runway
EBITDA-positive month
Month 36
first profitable month
Exit (single calc — Investor Return references these)
Exit valuation$555.8M
Investor proceeds$111.2M
Gross MOIC27.8x
Effective annual rate (IRR)76.8%
Net gain$107.2M
3 · Assumptions-Mainmajor inputs (the model is driven from here)
Growth & timing
Dev period (months)10
Physicians / practice2.5
Pricing
EMR price / physician / mo$595
RCM % of collections4.9%
RCM attach (share on RCM)90%
Year-1 ramp (price + FTE efficiency)70%
Exit revenue multiple10x
Throughput → collections
Encounters / clinical day22
Clinical days / yr255
Collected $ / encounter$150
Financing
Seed raise$4,000,000
Opening cash (founders, pre-seed) day-1 balance, before seed$300,000
Operating costs (company-wide fixed)
Fixed opex / mo — base (op-yr 0)$25,000
Fixed opex growth / yr (factor) ≈ +30%/yr×1.30
4 · Assumptions-Detailsfeeders, grouped by what they feed
Feeds → Revenue
Collections efficiency edge (1+edge×capture)1.110
Feeds → Cost-to-Serve (per encounter / claim)
AI-scribe + Azure infra / encounter single source: AI & Azure$0.026
Clearinghouse / claim$0.450
Claims / encounter1.05
eRx (Surescripts) / encounter$0.120
Payment processing (% of collections)0.00%
Licensing + Surescripts / physician / yr$300
Platform flat / yr (TEFCA + interfaces)$50,000
Feeds → Staffing
Fully-loaded factor (benefits/overhead)×1.20
AI deflation on the AI-assisted RCM role, by operating year
AI deflation factor — op yr 11.34
AI deflation factor — op yr 21.21
AI deflation factor — op yr 31.06
AI deflation factor — op yr 41.00
AI deflation factor — op yr 50.94
5 · RCM-Staffingserve-team physicians-per-FTE → labor $/physician
Serve rolePhys/FTE (mature)Yr-1 ratioLoaded salary $KAI factor$ / phys / mo
Implementation · Mid *383268.3$90.0K1.00$20
Support · Sr (CSM)200140.0$114.0K1.00$48
Support · Jr6042.0$72.0K1.00$100
RCM ops · Sr lead250175.0$114.0K1.00$38
RCM ops · Mid (AI-assisted)2517.5$81.6K0.94$256
Clinical · Mid12084.0$96.0K1.00$67
Labor cost-to-serve / physician / mo (mature)$527
RCM FTE per physician (mature)0.044
Physicians per RCM FTE (mature, blended) 1 RCM ops FTE covers this many23

* = practice-driven role (Implementation) converted to an effective phys/FTE at scale. Year-1 ratios are less efficient (× the year-1 ramp); converge to mature from op-year 2.

6 · Revenueper-physician revenue build
Encounters / physician / mo467.5
Collections / physician / yr (mature)$841,500
Collections / physician / yr — year 1 (ramping)$589,050
EMR / physician / mo$595
RCM / physician / mo$3,433
Blended revenue / physician / mo$4,028
ACV / practice / yr$120,831
EMR share of revenue15%
7 · Cost-to-Serveper-encounter → per-physician COGS + labor
Tech / transaction / licensing COGS — itemized per physician / mo
AI-scribe + Azure / mo 468 enc/mo × $0.026/enc$12.26
Clearinghouse (claims) / mo 468 enc × 1.05 claims × $0.450/claim$220.89
eRx (Surescripts) / mo 468 enc × $0.120/enc$56.10
Payment processing / mo collections/mo × 0.00% (passed through)$0.00
Licensing + Surescripts / mo $300/yr ÷ 12$25.00
COGS / physician / mo (total) excl. company-wide platform flat (added in the Proforma)$314
Service-team labor + total
Labor cost-to-serve / physician / mo (mature)$527
Total cost-to-serve / physician / mo$842
Gross margin (rev − cost-to-serve)79.1%
8 · Staffingdriver-based plan + end headcount
Role · levelGroupSalary $/yrDriven byRatioFirst hire (m)@ endBaseAdds/yr
Eng · Sr/Staffcorp$200,000fixed0311
Eng · Midcorp$150,000fixed4302
Eng · Jrcorp$80,000fixed14202
Sales · AE (Sr)corp$120,000practiceAdds2115
Sales · SDR (Jr)corp$80,000aeRatio2203
Implementation · Midserve$75,000practiceAdds8203
Support · Sr (CSM)serve$95,000physicians20066
Support · Jrserve$60,000physicians60920
RCM ops · Sr leadserve$95,000physicians25065
RCM ops · Mid (AI-assisted)serve$68,000physicians25644
Clinical · Midserve$80,000physicians120910
G&A · Execcorp$180,000fixed20300.5
G&A · Ops/Financecorp$110,000totalFte250361
Total FTE at end108
Total annual SWB at end (loaded)$10,344,400
9 · Staffing (monthly)per-month headcount → SWB (all 70 months · (s) = serve)
MonthEngEngEngSalesImplementation (s)Support (s)Support (s)RCM (s)RCM (s)Clinical (s)G&ASalesG&ACorp SWBServe SWBTotal SWB
Aug-261000000000000$17K$0$17K
Sep-262000000000000$33K$0$33K
Oct-262000000000000$33K$0$33K
Nov-262000000000000$33K$0$33K
Dec-262000000000000$33K$0$33K
Jan-272100000000000$46K$0$46K
Feb-272100000000000$46K$0$46K
Mar-272100000000000$46K$0$46K
Apr-272100000000000$46K$0$46K
May-272100000000000$46K$0$46K
Jun-272100011111000$46K$40K$86K
Jul-272201011111000$68K$40K$108K
Aug-272201011111000$68K$40K$108K
Sep-273201011111000$85K$40K$125K
Oct-273201011111000$85K$40K$125K
Nov-273211011111000$92K$40K$131K
Dec-273211011111000$92K$40K$131K
Jan-283311011111000$104K$40K$144K
Feb-283311011111000$104K$40K$144K
Mar-283311011121000$104K$47K$151K
Apr-283311111121010$111K$54K$165K
May-283321111121110$136K$54K$190K
Jun-283321111121110$136K$54K$190K
Jul-283321111121110$136K$54K$190K
Aug-283321111121110$146K$54K$200K
Sep-283321111121110$146K$54K$200K
Oct-283321111121110$146K$54K$200K
Nov-283321111121110$146K$54K$200K
Dec-283321111121110$153K$54K$207K
Jan-293321111131110$153K$61K$214K
Feb-293321111131110$153K$61K$214K
Mar-293321111131110$153K$61K$214K
Apr-293321111131110$153K$61K$214K
May-293321111131110$153K$61K$214K
Jun-293322112131110$163K$67K$230K
Jul-293322112141110$167K$74K$241K
Aug-293322112141111$178K$74K$252K
Sep-293322112141111$178K$74K$252K
Oct-293322112151111$181K$81K$261K
Nov-293322112151111$181K$81K$261K
Dec-293322112161111$181K$87K$268K
Jan-303322113162111$181K$101K$282K
Feb-303322113162111$181K$101K$282K
Mar-303322113172111$181K$108K$289K
Apr-303322113172111$182K$108K$290K
May-303322113172211$200K$108K$308K
Jun-303325214182231$252K$128K$380K
Jul-303325224192231$252K$145K$397K
Aug-3033252241102231$252K$152K$404K
Sep-3033252252113231$252K$182K$434K
Oct-3033252252123231$252K$189K$441K
Nov-3033252252123231$252K$189K$441K
Dec-3033252262133231$252K$201K$453K
Jan-3133252262143231$252K$208K$460K
Feb-3133252272154231$252K$229K$481K
Mar-3133252272164231$252K$236K$488K
Apr-3133252372174231$252K$252K$504K
May-3133252382184231$252K$265K$517K
Jun-3133253392195231$252K$293K$545K
Jul-31332533103215231$252K$322K$574K
Aug-31332534113246231$252K$366K$618K
Sep-31332534123266231$252K$386K$638K
Oct-31332534133287231$252K$413K$665K
Nov-31332534144307231$252K$443K$695K
Dec-31332535154338231$252K$486K$738K
Jan-32332535164358231$252K$506K$758K
Feb-32332535174379231$252K$534K$786K
Mar-32332536185399231$252K$572K$824K
Apr-323325361954210231$252K$607K$859K
May-323325362054410331$270K$626K$896K
10 · Proforma (monthly)70-month P&L
MonthPhysiciansPracticesRampEMRRCMRevenueCOGSLabor (CtS)Gross profitSalariesFixed opexEBITDACapital inCash
Aug-2600.0100%$0$0$0$0$0$0$17K$25K-$42K$4.00M$4.26M
Sep-2600.0100%$0$0$0$0$0$0$33K$25K-$58K$4.20M
Oct-2600.0100%$0$0$0$0$0$0$33K$25K-$58K$4.14M
Nov-2600.0100%$0$0$0$0$0$0$33K$25K-$58K$4.08M
Dec-2600.0100%$0$0$0$0$0$0$33K$25K-$58K$4.03M
Jan-2700.0100%$0$0$0$0$0$0$46K$25K-$71K$3.95M
Feb-2700.0100%$0$0$0$0$0$0$46K$25K-$71K$3.88M
Mar-2700.0100%$0$0$0$0$0$0$46K$25K-$71K$3.81M
Apr-2700.0100%$0$0$0$0$0$0$46K$25K-$71K$3.74M
May-2700.0100%$0$0$0$0$0$0$46K$25K-$71K$3.67M
Jun-2731.270%$1K$7K$8K$5K$40K-$36K$46K$25K-$107K$3.56M
Jul-2741.670%$2K$10K$11K$5K$40K-$34K$68K$25K-$127K$3.44M
Aug-2762.470%$2K$14K$17K$6K$40K-$29K$68K$33K-$130K$3.31M
Sep-2772.870%$3K$17K$20K$6K$40K-$26K$85K$33K-$144K$3.16M
Oct-2783.270%$3K$19K$23K$7K$40K-$24K$85K$33K-$141K$3.02M
Nov-2793.670%$4K$22K$25K$7K$40K-$21K$92K$33K-$146K$2.88M
Dec-27114.470%$5K$26K$31K$8K$40K-$16K$92K$33K-$141K$2.73M
Jan-28124.870%$5K$29K$34K$8K$40K-$14K$104K$33K-$151K$2.58M
Feb-28135.270%$5K$31K$37K$8K$40K-$11K$104K$33K-$148K$2.44M
Mar-28156.070%$6K$36K$42K$9K$47K-$13K$104K$33K-$150K$2.29M
Apr-28166.470%$7K$38K$45K$9K$54K-$18K$111K$33K-$162K$2.12M
May-28176.870%$7K$41K$48K$10K$54K-$16K$136K$33K-$184K$1.94M
Jun-28218.4100%$12K$72K$85K$11K$54K$20K$136K$33K-$148K$1.79M
Jul-28249.6100%$14K$82K$97K$12K$54K$31K$136K$33K-$137K$1.66M
Aug-282710.8100%$16K$93K$109K$13K$54K$42K$146K$42K-$146K$1.51M
Sep-283112.4100%$18K$106K$125K$14K$54K$57K$146K$42K-$131K$1.38M
Oct-283413.6100%$20K$117K$137K$15K$54K$68K$146K$42K-$120K$1.26M
Nov-283815.2100%$23K$130K$153K$16K$54K$83K$146K$42K-$105K$1.15M
Dec-284116.4100%$24K$141K$165K$17K$54K$94K$153K$42K-$101K$1.05M
Jan-294417.6100%$26K$151K$177K$18K$61K$98K$153K$42K-$97K$956K
Feb-294819.2100%$29K$165K$193K$19K$61K$113K$153K$42K-$82K$874K
Mar-295120.4100%$30K$175K$205K$20K$61K$124K$153K$42K-$71K$803K
Apr-295421.6100%$32K$185K$217K$21K$61K$135K$153K$42K-$60K$744K
May-295823.2100%$35K$199K$234K$22K$61K$150K$153K$42K-$45K$699K
Jun-296726.8100%$40K$230K$270K$25K$67K$178K$163K$42K-$28K$671K
Jul-297530.0100%$45K$257K$302K$28K$74K$201K$167K$42K-$9K$662K
Aug-298433.6100%$50K$288K$338K$31K$74K$234K$178K$55K$1K$664K
Sep-299337.2100%$55K$319K$375K$33K$74K$267K$178K$55K$35K$698K
Oct-2910240.8100%$61K$350K$411K$36K$81K$294K$181K$55K$59K$757K
Nov-2911144.4100%$66K$381K$447K$39K$81K$328K$181K$55K$92K$849K
Dec-2911947.6100%$71K$408K$479K$42K$87K$350K$181K$55K$115K$963K
Jan-3012851.2100%$76K$439K$516K$44K$101K$370K$181K$55K$134K$1.10M
Feb-3013754.8100%$82K$470K$552K$47K$101K$403K$181K$55K$168K$1.27M
Mar-3014658.4100%$87K$501K$588K$50K$108K$430K$181K$55K$194K$1.46M
Apr-3015562.0100%$92K$532K$624K$53K$108K$463K$182K$55K$226K$1.69M
May-3016365.2100%$97K$560K$657K$55K$108K$493K$200K$55K$238K$1.92M
Jun-3018674.4100%$111K$638K$749K$63K$128K$558K$252K$55K$251K$2.18M
Jul-3020983.6100%$124K$717K$842K$70K$145K$627K$252K$55K$320K$2.50M
Aug-3023292.8100%$138K$796K$934K$77K$152K$706K$252K$71K$382K$2.88M
Sep-30255102.0100%$152K$875K$1.03M$84K$182K$761K$252K$71K$438K$3.32M
Oct-30278111.2100%$165K$954K$1.12M$92K$189K$840K$252K$71K$516K$3.83M
Nov-30300120.0100%$179K$1.03M$1.21M$98K$189K$921K$252K$71K$598K$4.43M
Dec-30323129.2100%$192K$1.11M$1.30M$106K$201K$994K$252K$71K$670K$5.10M
Jan-31346138.4100%$206K$1.19M$1.39M$113K$208K$1.07M$252K$71K$749K$5.85M
Feb-31369147.6100%$220K$1.27M$1.49M$120K$229K$1.14M$252K$71K$814K$6.66M
Mar-31392156.8100%$233K$1.35M$1.58M$127K$236K$1.22M$252K$71K$892K$7.56M
Apr-31415166.0100%$247K$1.42M$1.67M$135K$252K$1.28M$252K$71K$961K$8.52M
May-31438175.2100%$261K$1.50M$1.76M$142K$265K$1.36M$252K$71K$1.03M$9.55M
Jun-31497198.8100%$296K$1.71M$2.00M$160K$293K$1.55M$252K$71K$1.22M$10.8M
Jul-31556222.4100%$331K$1.91M$2.24M$179K$322K$1.74M$252K$71K$1.41M$12.2M
Aug-31616246.4100%$367K$2.11M$2.48M$198K$366K$1.92M$252K$93K$1.57M$13.8M
Sep-31675270.0100%$402K$2.32M$2.72M$216K$386K$2.12M$252K$93K$1.77M$15.5M
Oct-31735294.0100%$437K$2.52M$2.96M$235K$413K$2.31M$252K$93K$1.97M$17.5M
Nov-31794317.6100%$472K$2.73M$3.20M$254K$443K$2.50M$252K$93K$2.16M$19.7M
Dec-31853341.2100%$508K$2.93M$3.44M$272K$486K$2.68M$252K$93K$2.33M$22.0M
Jan-32913365.2100%$543K$3.13M$3.68M$291K$506K$2.88M$252K$93K$2.54M$24.5M
Feb-32972388.8100%$578K$3.34M$3.91M$310K$534K$3.07M$252K$93K$2.73M$27.3M
Mar-321,032412.8100%$614K$3.54M$4.16M$328K$572K$3.26M$252K$93K$2.91M$30.2M
Apr-321,091436.4100%$649K$3.75M$4.39M$347K$607K$3.44M$252K$93K$3.10M$33.3M
May-321,150460.0100%$684K$3.95M$4.63M$366K$626K$3.64M$270K$93K$3.28M$36.5M
11 · P&L (annual)fiscal-year roll-up
LineFY1FY2FY3FY4FY5FY6
Revenue$20K$503K$2.29M$6.58M$17.7M$35.6M
COGS$11K$100K$228K$563K$1.43M$2.82M
Labor (cost-to-serve)$80K$542K$716K$1.20M$2.72M$4.94M
Gross profit-$70K-$139K$1.34M$4.82M$13.6M$27.8M
Salaries$493K$1.25M$1.83M$2.33M$3.02M$2.54M
Fixed opex$300K$390K$507K$659K$857K$928K
EBITDA-$864K-$1.78M-$993K$1.83M$9.69M$24.3M
12 · CapTableseed, ownership, post-money
Seed raise$4,000,000
Ownership sold (seed)20.0%
Post-money valuation$20,000,000
Series Aoff
Series Boff
13 · Chartsmodel at a glance

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chartchartchart
14 · Notesmethodology

DATA FLOW: Assumptions-Main + Assumptions-Details + AI & Azure → Revenue & Cost-to-Serve (per physician); RCM-Staffing ratios → Cost-to-Serve labor; Staffing salaries × Staffing-monthly headcount → Proforma Salaries + Labor; Fixed opex = base × growth^year → Proforma; Proforma → P&L / Summary (exit) / Investor Return.

HEADCOUNT, SALARIES & OPEX ARE ALL DERIVED: Each role’s monthly headcount = business driver ÷ ratio (× AI factor and × the year-1 ramp for serve roles), capped, rounded up to whole people. Monthly Salaries (corp) and Labor (cost-to-serve) = Σ headcount × salary × loaded factor (auto-loads +20% twenty-four months after each role’s first hire). Fixed opex = base × the annual growth factor.

EXIT MATH: Lives in one place — Summary (run-rate → EV → proceeds → MOIC → IRR). The Investor Return one-pager only references those values.

THE YEAR-1 RAMP: Both price and the serve/RCM FTE ratios ramp during operating year 1 (start at 70% of full; serve ratios are less efficient by the same factor). From operating year 2 both reach mature values. You hire whole people, so at low scale each serve role rounds up to 1 person — the ramp is mostly absorbed by whole-person rounding early and only bites at scale.

CASHLESS & PAPERLESS: A fully cashless and paperless system — no paper claims, statements, postage or lockbox; patient payments run card/ACH (processing passed through to physicians, so payment processing is 0% here). This keeps per-encounter cost-to-serve low.

FLAT / NON-SCALING COSTS: Content licensing, Surescripts, TEFCA/interfaces, SOC 2, ONC, insurance, counsel are modelled separately in the fixed-cost page — they do not scale with collections and are expressed flat / per-provider / in bps.

SCOPE: Cost-to-serve = serve-team labor + per-encounter/transaction/licensing COGS. EBITDA excludes financing and taxes. Exit = revenue run-rate (final month × 12) × the multiple, at seed ownership pre-dilution. Model starts Aug-2026.

15 · AI & Azureitemized AI-scribe + Azure cost / encounter — its total feeds Cost-to-Serve
Inputs
Minutes / encounter20
Whisper share (tough %) on-device STT free; Whisper only on the tough %10%
Whisper $ / min$0.006
Note model Anthropic Claude — ambient note generationHaiku 4.5
LLM input $/M$1
LLM output $/M$5
Output tokens1,500
Azure infra / encounter (transcode + Functions + Cosmos)$0.002
On-device transcription / encounter free$0.000
Per-encounter components
Input tokens3,958
Whisper / encounter$0.0120
LLM note — input / encounter$0.0040
LLM note — output / encounter$0.0075
Storage & retention — audio archive (amortized over 7 years)
Downsampled archive audio / encounter (GB)0.0050
Azure Blob storage $ / GB / mo (cool/archive)$0.002
Retention (months)84 (7 yr, then auto-deleted)
Audio archive storage / encounter (7-yr total)$0.0008
Total
TOTAL AI + Azure / encounter$0.026

Audio lifecycle: capture high-res audio → transcribe (Whisper on the tough %) → downsample to a low-bitrate archive copy → auto-delete after 7 years. The non-audio coded record is retained indefinitely (tiny, and the clinical record).