Kaia Health Financial Model
Health-tech Startup Financials (Free Excel Download)
AI-powered digital musculoskeletal (MSK) therapy platform sold B2B to self-insured employers and health plans.
professionals from Deloitte
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About this model
Kaia Health provides AI-powered digital musculoskeletal therapy to employers and health plans. Its programme uses technology to support treatment and engagement for people managing MSK conditions outside traditional in-person care settings.
Its B2B pricing is based on monthly active users rather than inactive eligible members. That makes activation, treatment retention, ongoing participation, and client outcomes central commercial drivers, while covered lives provide the ceiling for expansion within a buyer account.
The model forecasts covered lives, activation, active-user pricing, treatment retention, clinical cost, and client renewal. It includes member support, content and technology costs, health-plan sales cycles, gross margin, outcomes incentives, operating cash flow, 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 Kaia Health
kaiahealth.com
How to build a detailed financial model for Kaia Health
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Kaia Health model - distilled from its pitch deck and publicly available information.
Product & value proposition
- Mobile app delivering 3 digital therapies for MSK conditions: back pain, knee, and COPD/respiratory (implied by "3 digital therapies").
- Three pillars: (1) daily therapeutic exercise programs, (2) mindfulness/education content, (3) AI Motion Coach™ - camera-based real-time exercise tracking via smartphone, no hardware required.
- Health coaches (certified, NBC-HWC accredited, RN or 4-yr health degree) provide ongoing adherence support and care navigation.
- "Care Compass" triage layer routes members to specialty care, telemedicine, or digital programs as needed.
- 4 patents pending on motion-tracking technology.
- 400,000+ users referenced in marketing copy.
- 6 peer-reviewed clinical studies published (Nature Digital Medicine, JMIR, Journal of Pain Research, DovePress).
Market
- MSK direct medical spend: $300–500 PMPY per major diagnostic area; up to 16% of total medical spend for payors.
- MSK indirect costs: 11.4 average workdays lost per person per year; largest driver of short- and long-term disability claims.
- MSK spending breakdown by category: Surgery 48%, Rx incl. opioids 13%, Evaluation & mgmt. 9%, PT/OT 7%, HCPCS II 5%, Other 18%.
Revenue model
- Primary channel: B2B - sold to self-insured employers and health plans (50 B2B customers).
- Pricing: Monthly active user (MAU) charge only; employers not charged for inactive users.
- Comparison table positions pricing as "monthly active user charge only" vs. competitors' "flat up-front fees + telehealth fees".
- The ROI slide (slide 32) shows a representative client example: Investment $1,634,574 / Year 1 savings $3,621,837 → net savings $1,987,263 → ROI 2.2x. This is a customer ROI illustration, not Kaia's own revenue figure.
- Secondary revenue: "Kaia Care Compass" premium partner referral model (specialty care, telemedicine, digital programs) referenced but monetization details not disclosed.
Traction & metrics
- 100 employees ("Kaianeers")
- 3 digital therapies in market
- 50 B2B customers
- $50m total raised
- 400,000+ users (referenced in engagement marketing copy)
- Customer logo / name examples: Harvard Pilgrim Health Care, BCBS (implied)
Unit economics
Engagement / utilization metrics (B2B employer program):
- Account creation rate: 7% of eligible population
- Acceptance rate (post-screening): 90%
- Utilization per week: 3.2x sessions/week per active user
- Therapy success / retention: 80%
- User satisfaction (CSAT): 93%
Clinical outcomes (proxy for LTV/retention quality):
- Pain reduction vs. standard care: -33% pain change vs. control at 3-month follow-up
- High-risk patient pain change: -43%
- RCT (Nature Digital Medicine): Kaia NRS 2.7 vs. control 3.4 at 12 weeks (0–10 scale)
- Employee productivity impact: -54% pain hampering productivity; -62% likelihood to seek PT
- Mental wellbeing improvement: +13%
Customer ROI (representative client, Year 1):
- Client investment: -$1,634,574
- Client MSK savings: $3,621,837
- Net savings: $1,987,263
- ROI multiple: 2.2x
- Savings breakdown: Surgery 30–40%, Rx/injections 20–25%, PT/OT/chiro 15–25%, Radiology 10–15%, Other 3–5%
Competition / moat
- Competitors use additional hardware + flat up-front fees + telehealth fees with their own remote PTs.
- Kaia differentiation: (1) BYOD (no hardware), (2) MAU-only pricing, (3) network non-redundancy (no financial conflict of interest with PT networks), (4) proprietary AI Motion Coach™ (4 patents pending), (5) 6 published RCTs, (6) integrated care navigation (not fragmented).
- Named competitor(s): Not explicitly named in deck (referred to generically as "Competitors").
- Notable: Hinge Health is the obvious comparable but not named.
Team & funding ask / use of funds
- Team: Not detailed in deck (no team slide identified in 32 slides).
- Total raised to date: $50m.
Recommended financial model
Archetype + why: B2B digital health PMPM / MAU-based revenue model. Revenue is driven by number of employer/plan customers × eligible covered lives × activation rate × PMPM charge. This is closest to a B2B SaaS cohort model but with healthcare-specific engagement funnel (eligible → activated → accepted → active). Not a pure ARR SaaS because billing is tied to monthly active users, not seats.
Forecast horizon & granularity:
- 3 years, monthly granularity (Years 1–3). Monthly needed to model activation cohorts and MAU churn.
- Year 1 should reflect current state (~50 B2B customers as baseline).
Key drivers & assumptions:
*Customer acquisition:*
- B2B customers (employers/plans) at period start: 50
- New B2B customers added per quarter: 8–12 in Year 1, scaling to 15–20 in Year 2; rationale: early-stage, sales cycles in employer health are 6–12 months
- Average covered lives per employer contract: 5,000–15,000; rationale: mix of mid-market and regional health plans; no deck data
*Engagement funnel (per employer cohort):*
- % eligible lives that create account: 7%
- % of accounts accepted into program: 90%
- Net activation rate (enrolled / eligible): ~6.3% (7% × 90%)
- Active users per week (utilization): 3.2x sessions
- Therapy success / graduation rate: 80%; implies average program duration 12–16 weeks before graduation/churn
*Pricing:*
- PMPM charge per active user: $35–$65/month; rationale: digital MSK market benchmarks (Hinge Health publicly disclosed ~$50–70/member); Kaia's deck does not disclose price
- Health coaching add-on: included in base PMPM (no separate line shown)
*Costs:*
- Health coach headcount per active user ratio: 1 coach per 150–200 active users; rationale: intensive 30-day onboarding + monthly check-ins described in deck
- Coach fully-loaded cost: $80–100k/year; rationale: RN + certification requirement
- Gross margin: 55–70%; rationale: digital health services with significant coach labor; no deck data
- R&D / motion tracking infra: 15–20% of revenue in early years, declining to 10% by Year 3
- S&M: 25–35% of revenue (B2B enterprise sales team + employer marketing kits)
- G&A: 10–15% of revenue
*Customer ROI / retention:*
- Net revenue retention per employer: 110–120%; rationale: 2.2x client ROI supports strong renewal + upsell to additional covered populations
- Logo churn: 5–10% annually
Scenarios (Base / Bull / Bear - which variables flex):
- Base: 7% activation, $50 PMPM, 10 new B2B customers/quarter by Year 2, 65% gross margin
- Bull: 10% activation (better employer comms), $65 PMPM, 15 new customers/quarter, 72% gross margin (coach leverage)
- Bear: 5% activation, $38 PMPM (price pressure from incumbents), 6 new customers/quarter, 55% gross margin (higher coach costs)
Required sheets / outputs:
- Assumptions - all drivers in one place
- B2B Customer Cohort Model - monthly, tracks each employer cohort through activation funnel
- MAU Bridge - eligible → activated → accepted → active per month
- Income Statement (P&L) - revenue, COGS (coach labor, infra), gross profit, opex by function, EBITDA
- Headcount Plan - coaches (demand-driven), sales, R&D, G&A
- Cash & Runway - burn rate, cash on hand, months of runway (given $50m raised, unknown spend rate)
- Customer ROI Model - replicates slide 32 logic; used for sales tool validation
- Scenario toggle - Base / Bull / Bear via dropdown
Frequently asked
Is the Kaia Health financial model free?+
Yes. The Kaia Health 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 Kaia Health'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
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