Sample Report

This is a real example of what you receive after a full analysis. Every section below — scores, red flags, VC questions, path to 10/10 — is generated for your own deck.

IQ Pitch · Investor Brief

Lumen Health

AI copilot that turns ICU vitals into early-warning alerts for nursing teams.

SeedDigital Health · B2B SaaSFull tier
7.4Overall

Investor Verdict

Strong clinical thesis with a credible founding team and one lighthouse hospital deployment. The product is differentiated, but financial assumptions and go-to-market math need tightening before a Series A conversation. A focused 90-day plan on payer economics and a second design partner would move this from 'interesting' to 'fundable'.

Bull Thesis

Lumen sits at the intersection of two durable tailwinds: chronic ICU nurse shortages and rapidly maturing clinical LLMs. The team has rare insider access (two ex-ICU clinicians + an ex-Epic engineer), a working FDA pre-submission, and a signed paid pilot at a top-20 US hospital system. If the second pilot lands and readmission deltas hold at >12%, this is a category-defining seed.

Bear Case

Healthcare AI is a graveyard of great demos. The sales cycle is 9–14 months, procurement is brutal, and EHR integration eats 30–40% of engineering for the first two years. Competing incumbents (Epic, Bayesian Health) can ship a 'good enough' module bundled into existing contracts. If Lumen cannot prove a hard-dollar ROI within the first pilot's 6-month review, the second sale gets dramatically harder.

Dimensional Radar

ProblemMarketProductTractionTeamMoatGTMFinancials

Score Matrix

Problem
9.0
Market
7.0
Product
8.0
Traction
6.0
Team
9.0
Moat
6.0
GTM
6.0
Financials
6.0

Problem

9.0/10

Pinpoints a high-acuity, high-frequency problem with documented mortality and cost impact. Pain is felt by both clinicians and CFOs.

Strengths

  • Cites peer-reviewed data on delayed deterioration response
  • Quantifies cost of a single missed sepsis event ($28k average)
  • Founders lived the problem on the floor

Weaknesses

  • Problem framing leans clinical; CFO-facing ROI story is thinner

Path to 10

  • Add a one-slide hard-dollar ROI model per 100 ICU beds
  • Include a quote from a Chief Nursing Officer, not just an MD

Market

7.0/10

TAM is credible bottom-up ($2.1B US ICU software). Wedge into mid-sized health systems is well chosen, but expansion math is hand-wavy.

Strengths

  • Bottom-up TAM with named segments
  • Clear beachhead: 200–400 bed community hospitals

Weaknesses

  • International expansion slide is generic
  • No view on payer-driven reimbursement tailwinds (CMS TEAM model)

Path to 10

  • Replace top-down $40B chart with a stage-gated SAM expansion path
  • Map 3 reimbursement codes that unlock buyer urgency in 2026

Product

8.0/10

Differentiated UX built around the nurse, not the EHR. Live in one ICU with measurable engagement (78% daily active nurses in pilot).

Strengths

  • Nurse-first interface is genuinely novel vs. Epic modules
  • Works offline on the bedside tablet — rare
  • Clear FDA pre-sub pathway documented

Weaknesses

  • Model evaluation methodology underspecified
  • No screenshots of the physician escalation flow

Path to 10

  • Publish sensitivity/specificity vs. MEWS baseline
  • Add a 15-second product video to the data room

Traction

6.0/10

One paid pilot ($120k) and a signed LOI. Engagement metrics are strong, but commercial traction is still single-customer.

Strengths

  • Paid pilot, not a free POC — meaningful signal
  • 78% DAU and 12% readmission reduction at 90 days

Weaknesses

  • No second paying customer yet
  • Pilot-to-contract conversion not yet demonstrated

Path to 10

  • Close design partner #2 before the raise
  • Convert the LOI into a signed MSA at any ACV

Team

9.0/10

Rare combination of clinical authority and shipping engineering velocity. Advisory bench is investor-grade.

Strengths

  • Two ex-ICU clinicians + ex-Epic staff engineer
  • Advisor: former CMIO of a top-10 health system
  • Have shipped together for 14 months

Weaknesses

  • No commercial/health-system sales leader yet

Path to 10

  • Name a Head of Health Systems hire on the org chart slide

Moat

6.0/10

Data network effects are plausible but not yet earned. Workflow lock-in is the strongest near-term moat.

Strengths

  • Bedside workflow integration is sticky once adopted
  • Proprietary nurse-annotated event dataset growing weekly

Weaknesses

  • Epic could ship a 'good enough' competitor
  • No defensible IP filed

Path to 10

  • File 2 method patents on the alerting pipeline
  • Articulate the data flywheel in one diagram

GTM

6.0/10

Founder-led sales is working at one account. The motion to repeatable mid-market sales is unproven.

Strengths

  • CEO has personal relationships with 6 target CMIOs
  • Pilot playbook is documented

Weaknesses

  • No CAC/payback model in the deck
  • Channel strategy (GPOs, consortiums) absent

Path to 10

  • Add a CAC payback slide with pilot-to-contract assumptions
  • Identify one GPO or IDN consortium relationship to pursue

Financials

6.0/10

Top-line growth curve is aggressive but defensible if pilot 2 lands. Burn and runway plan needs a downside case.

Strengths

  • Clear use-of-funds tied to milestones
  • Gross margin assumption (78%) is realistic for SaaS

Weaknesses

  • No scenario for delayed second pilot
  • Hiring plan front-loads engineering before sales

Path to 10

  • Add a downside case (pilot 2 slips 6 months)
  • Reorder hiring plan to add a clinical sales lead in Q1

Red Flags

  1. Single-customer revenue concentration — second design partner is a must before Series A
  2. No documented sensitivity/specificity benchmark vs. MEWS or NEWS2
  3. Hiring plan adds 4 engineers before the first commercial hire
  4. International TAM slide overstates near-term addressable revenue

Missing Slides

  1. Competitive landscape vs. Epic Deterioration Index and Bayesian Health
  2. CAC / payback model with pilot-to-contract assumptions
  3. Regulatory roadmap beyond FDA pre-submission
  4. Org chart with the next 3 critical hires named

Hardest VC Questions

  1. 01What is your committed second design partner, and what is the trigger to close them?
  2. 02How do you defend against Epic bundling a 'good enough' deterioration module into existing contracts?
  3. 03What is your pilot-to-paid conversion assumption, and what data backs it?
  4. 04Who owns the model performance benchmark, and when does it get published?
  5. 05What does the company look like if the second pilot slips by 6 months?
  6. 06Why hire 4 engineers before a Head of Health Systems?

Next 30 Days

  1. 01Sign design partner #2 in the next 60 days
  2. 02Publish sensitivity/specificity vs. MEWS baseline in a one-pager
  3. 03Add CAC payback + downside scenario to the financial model
  4. 04Recruit a Head of Health Systems with mid-market IDN relationships
  5. 05File two method patents on the alerting pipeline

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