rev.health← Back to the proforma snapshot
Confidential · v

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
$101.8M
25.4x on capital · at a 10× ARR exit
Gross MOIC
25.4x
× your money · 10× exit (6× base = 15.3x)
Effective annual rate (IRR)
72% / yr
over 6.0 yrs
The math
Investment in (seed)$4.00M
Ownership (pre-dilution)20%
Exit enterprise value @ 10x$509M
Revenue run-rate at exit$50.9M
Exit revenue multiple10x
Net gain (proceeds − seed)$97.8M
2 · Summaryheadline KPIs + the single exit calc
Revenue run-rate
$50.9M
final month × 12
EBITDA at end (monthly)
$3.41M
final month
Gross margin
78%
rev − cost-to-serve
Physicians at end
866
346 practices
Employees at end
108
total FTE (staffing plan)
Lowest cash balance
$911K
thinnest runway
EBITDA-positive month
Month 39
first profitable month
Exit (single calc — Investor Return references these)
Exit valuation$509M
Investor proceeds$101.8M
Gross MOIC25.4x
Effective annual rate (IRR)72%
Net gain$97.8M
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 day26
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)$652
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 / mo552.5
Collections / physician / yr (mature)$1,071,000
Collections / physician / yr — year 1 (ramping)$696,150
EMR / physician / mo$595
RCM / physician / mo$4,057
Blended revenue / physician / mo$4,898
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 595 enc/mo × $0.026/enc$15.58
Clearinghouse (claims) / mo 595 enc × 1.05 claims × $0.450/claim$280.89
eRx (Surescripts) / mo 595 enc × $0.120/enc$71.34
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)$652
Total cost-to-serve / physician / mo$1,023
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)72-month P&L
MonthPhysiciansPracticesRevenueCost to serveGross profitGM %Corp SWBFixed opexEBITDATaxCapital inCash
Jan-2600.0$0$4K-$4K$17K$20K-$41K$0$0$4.26M
Feb-2600.0$0$4K-$4K$33K$21K-$58K$0$0$4.20M
Mar-2600.0$0$4K-$4K$33K$21K-$58K$0$0$4.14M
Apr-2600.0$0$4K-$4K$33K$21K-$58K$0$0$4.08M
May-2600.0$0$4K-$4K$33K$21K-$58K$0$0$4.03M
Jun-2600.0$0$4K-$4K$46K$21K-$71K$0$0$3.95M
Jul-2700.0$0$4K-$4K$46K$21K-$71K$0$0$3.88M
Aug-2700.0$0$4K-$4K$46K$21K-$71K$0$0$3.81M
Sep-2700.0$0$4K-$4K$46K$21K-$71K$0$0$3.74M
Oct-2700.0$0$4K-$4K$46K$22K-$72K$0$0$3.67M
Nov-2731.2$8K$5K$3K34%$76K$22K-$95K$0$0$3.57M
Dec-2752.0$13K$6K$7K56%$91K$22K-$105K$0$0$3.47M
Jan-2772.8$18K$6K$12K65%$91K$31K-$110K$0$0$3.36M
Feb-27104.0$26K$7K$19K72%$103K$32K-$116K$0$0$3.24M
Mar-27124.8$32K$8K$24K75%$103K$32K-$111K$0$0$3.13M
Apr-27156.0$40K$9K$31K78%$103K$32K-$104K$0$0$3.03M
May-27166.4$43K$17K$26K61%$103K$32K-$109K$0$0$2.92M
Jun-27176.8$46K$17K$29K63%$120K$32K-$123K$0$0$2.80M
Jul-28187.2$49K$18K$32K65%$129K$32K-$129K$0$0$2.67M
Aug-28208.0$55K$18K$37K67%$129K$32K-$124K$0$0$2.54M
Sep-28218.4$59K$19K$40K68%$129K$32K-$121K$0$0$2.42M
Oct-28239.2$65K$19K$46K70%$142K$32K-$129K$0$0$2.29M
Nov-282510.0$102K$20K$81K80%$142K$33K-$93K$0$0$2.20M
Dec-282710.8$111K$21K$90K81%$142K$33K-$84K$0$0$2.12M
Jan-282911.6$120K$22K$98K82%$152K$47K-$100K$0$0$2.02M
Feb-283112.4$129K$22K$107K83%$152K$47K-$92K$0$0$1.92M
Mar-283313.2$139K$23K$115K83%$152K$47K-$83K$0$0$1.84M
Apr-283514.0$148K$24K$124K84%$152K$47K-$74K$0$0$1.77M
May-283815.2$162K$58K$104K64%$159K$47K-$102K$0$0$1.66M
Jun-284116.4$177K$59K$117K66%$183K$47K-$113K$0$0$1.55M
Jul-294417.6$191K$66K$126K66%$183K$47K-$105K$0$0$1.45M
Aug-294718.8$206K$67K$139K68%$183K$48K-$92K$0$0$1.35M
Sep-295120.4$225K$81K$144K64%$195K$48K-$98K$0$0$1.26M
Oct-295522.0$245K$82K$162K66%$201K$48K-$86K$0$0$1.17M
Nov-295923.6$264K$84K$180K68%$210K$48K-$77K$0$0$1.09M
Dec-296325.2$285K$91K$194K68%$210K$48K-$64K$0$0$1.03M
Jan-296827.2$309K$93K$217K70%$210K$69K-$62K$0$0$966K
Feb-297329.2$335K$95K$240K72%$210K$69K-$39K$0$0$927K
Mar-297931.6$365K$103K$262K72%$210K$69K-$17K$0$0$911K
Apr-298534.0$396K$106K$290K73%$210K$69K$11K$0$0$922K
May-299136.4$427K$110K$317K74%$210K$69K$38K$0$0$960K
Jun-299839.2$463K$119K$344K74%$219K$69K$57K$0$0$1.02M
Jul-3010542.0$500K$122K$378K76%$221K$69K$88K$0$0$1.11M
Aug-3011345.2$542K$125K$416K77%$232K$69K$115K$0$0$1.22M
Sep-3012248.8$589K$140K$449K76%$232K$69K$148K$0$0$1.37M
Oct-3013152.4$637K$144K$493K77%$232K$69K$192K$0$0$1.56M
Nov-3014156.4$691K$154K$536K78%$232K$69K$235K$0$0$1.80M
Dec-3015260.8$744K$173K$571K77%$232K$69K$270K$0$0$2.07M
Jan-3016365.2$798K$184K$615K77%$232K$99K$283K$0$0$2.35M
Feb-3017570.0$857K$189K$669K78%$232K$99K$337K$0$0$2.69M
Mar-3018875.2$921K$205K$716K78%$232K$99K$385K$0$0$3.07M
Apr-3020381.2$994K$224K$770K77%$244K$99K$428K$0$0$3.50M
May-3021887.2$1.07M$249K$818K77%$265K$99K$455K$0$0$3.95M
Jun-3023493.6$1.15M$263K$883K77%$276K$99K$509K$0$0$4.46M
Jul-31252100.8$1.23M$287K$947K77%$276K$99K$573K$0$0$5.04M
Aug-31271108.4$1.33M$302K$1.03M77%$276K$99K$651K$0$0$5.69M
Sep-31291116.4$1.43M$328K$1.10M77%$283K$99K$715K$0$0$6.40M
Oct-31313125.2$1.53M$368K$1.17M76%$285K$99K$781K$0$0$7.18M
Nov-31337134.8$1.65M$378K$1.27M77%$299K$99K$875K$0$0$8.06M
Dec-31362144.8$1.77M$408K$1.37M77%$317K$99K$950K$0$0$9.01M
Jan-31389155.6$1.91M$426K$1.48M78%$317K$143K$1.02M$0$0$10.03M
Feb-31419167.6$2.05M$454K$1.60M78%$317K$143K$1.14M$0$0$11.17M
Mar-31450180.0$2.20M$487K$1.72M78%$338K$143K$1.24M$0$0$12.40M
Apr-31484193.6$2.37M$531K$1.84M78%$338K$143K$1.36M$0$0$13.76M
May-31521208.4$2.55M$560K$1.99M78%$338K$143K$1.51M$0$0$15.27M
Jun-31560224.0$2.74M$596K$2.15M78%$363K$143K$1.64M$0$0$16.91M
Jul-32602240.8$2.95M$668K$2.28M77%$363K$143K$1.77M$0$0$18.69M
Aug-32647258.8$3.17M$701K$2.47M78%$384K$143K$1.94M$0$0$20.63M
Sep-32696278.4$3.41M$741K$2.67M78%$384K$143K$2.14M$0$0$22.77M
Oct-32749299.6$3.67M$789K$2.88M78%$384K$143K$2.35M$0$0$25.12M
Nov-32805322.0$3.94M$859K$3.08M78%$398K$143K$2.54M$0$0$27.66M
Dec-32866346.4$4.24M$919K$3.32M78%$419K$143K$2.76M$0$0$30.42M
11 · P&L (annual)fiscal-year roll-up
LineFY1FY2FY3FY4FY5FY6
Revenue$21K$647K$2.29M$6.00M$14.73M$35.21M
Cost to serve$52K$179K$679K$1.48M$3.38M$7.73M
Gross profit-$32K$471K$1.61M$4.51M$11.34M$27.48M
GM %-155%72%70%75%77%78%
Corp SWB$546K$1.44M$2.13M$2.65M$3.22M$4.34M
Fixed opex$253K$384K$569K$824K$1.19M$1.72M
G&A misc$0$0$0$0$0$0
EBITDA-$831K-$1.35M-$1.09M$1.04M$6.94M$21.42M
Tax$0$0$0$0$0$0
Net income-$831K-$1.35M-$1.09M$1.04M$6.94M$21.42M
Year-end cash$3.47M$2.12M$1.03M$2.07M$9.01M$30.42M
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).