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RetinaScan

Healthtech / Digital Health · seed
44% signal coverage · company-specific(1 metric parsed)
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61.7/ 100
WATCH
QVenture composite score

Investment memo

RetinaScan is a conditional lead-with-a-tranche, not a pass: the 91% sensitivity signal across 900 patients and $40k MRR in 18 clinics is a genuine clinical and commercial proof point in a fast-growing screening market, and breakthrough-device designation compresses the regulatory moat that defines this category. The single strongest reason for is that a cleared, reimbursed autonomous DR tool is a durable, license-protected franchise. The single strongest reason against is reimbursement dependency—without a durable CPT/NTAP pathway, PCPs will not screen at a loss and the entire revenue thesis collapses, and specificity plus LTV/CAC were not disclosed, leaving the diagnostic and unit economics unstressed. Accordingly, treat this as a staged bet: commit an initial $1.29M for ~6% at roughly $16M pre, gated on a data room confirming specificity, CAC/LTV, and a credible payer roadmap; reserve ~$1.94M for pro-rata contingent on De Novo progress and a signed coverage pathway. Cap total exposure at ~$2.07M.

Narrative engine: live model (anthropic) · scored by rubric v4 — scores are only comparable within a version

Entry strategy

Lead ticket
$1,293,180
range $646,590–$2,069,088
Target ownership
6%
low conviction
Valuation (pre)
$16.1M
$8.3M–$32.1M
Expected return
6.6x
base 16.1x · 60% loss rate
Target IRR
30.9%
7yr horizon
Deployment schedule
40% · Entry
On close, after founder + IP + cap-table diligence.
35% · Milestone
Product-market fit signal (retention cohort / first repeatable revenue).
25% · Pro-rata
Reserve for next priced round to defend ownership.
Portfolio: Size at ~1.1% of a diversified venture portfolio (fractional-Kelly, conviction-scaled). Reserve 1,939,770 USD for pro-rata follow-on.

Financial stress test

Stress test needs unit economics — disclose LTV/CAC (or CAC and LTV) to model CAC, churn and margin shocks.

Recent comparable rounds

Searching for recent Healthtech / Digital Health · seed rounds…

Score breakdown

25% из данных стартапа75% секторный бенчмарк
About this company · 44% of the score
Moat / defensibility · 16%from this plan63
regulatory license is the category's mature moat (ceiling 82), but ~61% realized at seed given disclosed traction — an unproven moat is discounted toward the 35 "no demonstrated defensibility" floor.
Team / execution signal · 28%from this plan64
Quantified traction: $480k MRR.

Analyst council

🔬 Research Scientist
Feasibility rests on: multimodal diagnostic models, FDA SaMD pathways, RWE evidence loops.
  • Live frontier: multimodal diagnostic models, FDA SaMD pathways, RWE evidence loops.
  • Tech feasibility score 69/100 — driven by 23% sector innovation rate.
  • Capital intensity 60% sets the R&D burn profile.
Risks
  • Scientific claims unverified without a technical deep-dive / reference customers.
  • reimbursement dependency and long clinical validation cycles.
📊 Data Analyst
~$420B TAM, 60% mature gross margin.
  • Market factor 66/100; unit-economics factor 54/100.
  • Reference gross margin ~60%; validate against actuals.
  • Execution signal 64/100 — Quantified traction: $480k MRR..
Risks
  • TAM/SAM/SOM and CAC/LTV unconfirmed — require a live data room.
  • Sector benchmarks are directional, not company-specific.
📈 Economist
Real clinical signal in a huge market, but the $420B TAM is a category number — the addressable DR-screening slice is a fraction of that.
  • The 66/100 is generously anchored to a ~$420B digital-health TAM at 23% CAGR. Push back: RetinaScan does not sell into $420B — the relevant serviceable market is US diabetic-retinopathy screening. ~38M US diabetics, ~60% under-screened, reimbursed CPT 92227-92229 at roughly $30-65/screen implies a bottom-up SAM closer to $1-3B, not hundreds of billions. Score is directionally right on tailwinds, w
  • Demand is reimbursement-elastic, not price-elastic: PCP adoption follows whether the screen is billable and margin-positive in-visit. IDx-DR/LumineticsCore already set the CMS precedent (autonomous AI DR screen reimbursed), which de-risks the payer path but also proves an incumbent is 5+ years ahead with FDA De Novo clearance — a disclosed, well-capitalized competitor the 58/100 competitive headro
  • Economic rents here accrue to the regulatory license plus the distribution/EHR-integration layer, not the smartphone lens (commoditizable hardware). Moat at 63 is fair-to-slightly-generous at seed: breakthrough-device is only *filed*, not granted, and 91% sensitivity in 900 patients is a strong pilot but below the ~87-90% sensitivity AND ~90% specificity bar CMS/FDA-cleared comparators cleared — s
  • $40k MRR across 18 clinics = ~$2.2k/clinic/month, a plausible SaaS+per-screen mix but a tiny base; unit economics (LTV/CAC, 60% capital intensity) untested. The composite's 61.7 'watch' is the honest read: real evidence, unproven that it compounds past the incumbent.
Risks
  • Reimbursement dependency (structural): CMS/private payer coverage for a second autonomous DR tool is not guaranteed; without a durable CPT/NTAP economics, PCP demand collapses since clinics won't screen at a loss.
  • Incumbent moat asymmetry: a cleared, reimbursed autonomous competitor can bundle or undercut; RetinaScan must beat specificity and total cost-of-workflow, and specificity was not reported — a material omission for a diagnostic.
  • Long validation + FDA cycle burns the $5.5M before revenue inflects; at ~$480k ARR run-rate and 60% capital intensity, runway to clearance and payer contracts likely requires a bridge, raising down-round risk.
⚖️ Corporate & Regulatory Lawyer
42/100 legal headroom is fair but conflates regulatory intensity with legal defect — the FDA path is the moat, not just drag
  • The 42 score reads regulatory intensity (90%) as pure drag; I'd push back on framing. For a SaMD diagnostic, FDA clearance IS the durable moat the Moat factor credits (ceiling 82). The 7% weight on 'headroom' understates that clearance, once obtained, converts drag into a 3-5yr competitor barrier. Net: score is defensible as a burn/timeline read, too pessimistic as a value read.
  • Device pathway is unconfirmed. 'Breakthrough-device designation filed' — not granted; De Novo (novel diagnostic, likely) runs ~12-18mo and $1-3M vs a predicate-based 510(k). At $40k MRR the 18 clinics are almost certainly running under a research/adjunct-to-specialist framing, not autonomous marketed diagnosis. Confirm current commercialization is not off-label promotion — that is an FTC §5 / FDA
  • AI/algorithm risk is real and under-scored: an ML diagnostic must lock its algorithm or file a Predetermined Change Control Plan; 91% sensitivity in a 900-patient study is single-site and needs multi-site RWE for generalizability (bias across skin tone/camera hardware). HIPAA BAAs with all 18 clinics and CCPA/CPRA on any CA patient data are table stakes — verify executed, not assumed.
  • Structure the round to price regulatory milestones: Reg D 506(b) priced round or post-money SAFE, 1x non-participating pref, board observer + information rights, and a tranche/milestone release tied to De Novo grant or breakthrough designation. Add reps on FDA correspondence, absence of warning letters, and clean IP assignment from clinical/academic founders (retina algorithms often trace to unive
Risks
  • Clearance failure or delay: if De Novo stalls past 18mo, the entire moat thesis and reimbursement path collapse; $5.5M seed likely funds to grant only if burn is disciplined — no runway buffer disclosed.
  • Reimbursement dependency (flagged as structural risk): even with clearance, no CPT/coverage pathway means clinics pay out-of-pocket — the $40k MRR does not prove payer economics and LTV/CAC was not disclosed, so the revenue moat is unstressed.
  • Off-label / promotional-claims exposure now: pre-clearance marketing of a diagnostic claim invites FDA/FTC action that would poison the pending submission and any acquisition due diligence.

Market data sources

Market-size and growth figures for Healthtech / Digital Health are anchored to recent third-party research:

Assumptions & limitations
  • Market size / growth for Healthtech / Digital Health is anchored to Grand View Research (2026): Digital health $420.2B in 2026, 23.4% CAGR 2026–2033. Full citations are listed under "Market data sources".
  • Signal coverage: ~44% of the score is backed by the plan's own disclosed metrics (1 quantified field); the remainder uses Healthtech / Digital Health sector priors — add financials to raise it.
  • Stage norms reflect US-market seed deals; adjust for geography "US".
  • Score is a screening signal, not a substitute for legal, financial, and technical due diligence.
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