Cerdwen Ventures · Life Sciences Evaluator
"The public should always be wondering how it is possible for a company to give so much for the price it charges." — Henry Ford
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Company Profile
Pipeline status:
Screening
Diligence
IC Review
Invested
Passed

Market Intelligence

Powers TAM calculation and Investment Memo. Enter what you know — fields are optional.

HighEV Value Dimensions

Score each dimension relative to the incumbent. 5 = massive improvement, 3 = moderate, 1 = minimal or parity.

$
Financial Value
Cost to payer, system, and patient vs. incumbent
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▼
Cost to payer / patient
How much cheaper vs. current standard? Equal cost for better outcome counts.
3
Same cost or more10× cheaper
Healthcare system savings
Reduces downstream costs — hospitalizations, readmissions, long-term care?
3
No changeMassive downstream savings
Reimbursement / pricing power
Likelihood of payer coverage; ability to command premium vs. generics.
3
Poor coverage likelyHighly reimbursable
⚙
Effort Value
Burden on physician, patient, and care team
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▼
Physician workflow friction
Special training, new equipment, prior authorization vs. current practice?
3
Major disruptionSeamless adoption
Patient compliance burden
How easy is it for patients to use/adhere vs. incumbent?
3
Much harderMuch easier
Diagnostic / testing requirements
Requires companion diagnostics or complex biomarker testing?
3
Complex Dx neededNo extra testing
⏱
Time Value
Speed-to-benefit, treatment duration, time-to-market
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▼
Speed-to-benefit for patient
How quickly does the patient see improvement vs. current standard?
3
SlowerDramatically faster
Duration of therapy
One-time cure vs. chronic treatment. Curative scores higher.
3
Chronic, indefiniteOne-time / curative
Regulatory approval timeline
BTD, Orphan, RMAT pathways score higher.
3
10+ yrs standard pathAccelerated pathway
⚠
Risk Value
Clinical, safety, execution and adoption uncertainty
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▼
Safety profile vs. incumbent
Novel mechanism + small safety DB = physician hesitation 2–5 yrs post-approval.
3
Worse / unknownClearly safer
Clinical evidence strength
Head-to-head P3 RCT data scores highest. Hypothesis only scores lowest.
3
Hypothesis onlyHead-to-head P3 RCT
IP / moat defensibility
Patents, trade secrets, regulatory exclusivity vs. generic / me-too risk.
3
Easily replicatedStrong multi-layer moat
Manufacturing / scalability risk
Complex biologics, cell therapies score harder.
3
Highly complexProven, scalable
✓
Functional Value
Objective clinical outcomes vs. standard of care
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▼
Absolute clinical benefit magnitude
OS, PFS, HbA1c, pain scores. Relative improvements only count if absolute is meaningful.
3
Marginal / surrogateOrder-of-magnitude better
Unmet need severity
Last-line therapy for fatal disease vs. incremental in well-treated condition?
3
Well-treated conditionNo current options
Addressable patient population
Breadth of patients who qualify. TAM proxy.
3
Ultra-rare (<1K)100M+ globally
◎
Psychological Value
KOL enthusiasm, patient demand, brand, social signaling
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▼
Physician / KOL enthusiasm
"I need this" vs "interesting" — the most reliable early commercial signal.
3
"Interesting" — indifferent"I need this" — strong pull
Patient demand / advocacy
Will patients seek this out? Patient advocacy tailwinds?
3
Passive marketHigh patient pull
Brand / narrative strength
Being "best practice" is a moat in medicine.
3
Generic / commodityCategory-defining
👤
Founder & Team
Prior exits, clinical ops experience, KOL network, team completeness
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▼
Prior exits / track record
Has the team built and sold a life sciences company before? Repeat founders reduce execution risk by 40–60%.
3
First-time / academicMultiple successful exits
Clinical operations experience
Can they actually run a trial? IND-to-approval operational depth vs. discovery-only teams.
3
Discovery-only / no opsFull IND-to-NDA team
Domain KOL / network depth
Do the right physicians, payers, and FDA advisors already know and trust this team?
3
Unknown / no networkDeep KOL + FDA relationships
Team completeness
Clinical, regulatory, commercial, and scientific leadership in place vs. key gaps requiring critical hires.
3
Major gaps / solo founderComplete executive team

FDA Approval vs. Adoption Risk Modifier

~20–40% of approved drugs see limited uptake. Approval risk ends at the FDA; market risk starts there.

Adoption Probability Scorecard

The 5 independent adoption filters. Failure in any one can stall uptake regardless of FDA approval.
Estimated adoption probability vs. full potential
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HighEV Score
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/ 100
Score your startup
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0Cerdwen threshold ▶100

Projected Adoption Trajectory

🏛
Innovators
Academic centers
→
👨‍⚕️
Early Adopters
KOL specialists
→
🏥
Community
Specialty practice
→
🌍
Primary Care
Mass market scale

Market Opportunity

⚠ Investor Red Flags Detected

Investment signal analysis

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    "The only repeatable method for building successful companies is delivering massive net value add to customers relative to their current way of solving the same problem." — Kevin Brophy, Cerdwen Ventures
    Framework Overview

    HighEV Core Principle

    We analyzed five centuries of startup success and failure. Companies that win — outside of anomalous speculations — are the ones that massively outperform peers in net value add to customers relative to the current way of solving the same problem.

    FDA Approval ≠ Adoption

    ~20–40% of FDA-approved drugs see limited real-world uptake. The FDA measures adequacy; clinical adoption requires superiority or clear differentiation. Approval risk ends at the FDA; market risk starts there.

    Value Is Relative, Not Absolute

    Value is relative to a decision comparing alternative means. Large changes are transformative; small changes drive marginal behavior. Our model mutes small changes and magnifies large ones — calibrated to human decision-making thresholds.

    Investing Is Science

    Every investment opportunity is a hypothesis. Every investment is an experiment testing, refining, and validating that hypothesis. Every trial and outcome creates knowledge leveraged forward. We put scientific principles first.

    Scoring Formula
    HighEV Raw = Σ(dimension_score × weight) Dimension weights: Functional Value 21% ← outcomes are king Risk Value 18% ← largest variance driver Founder & Team 15% ← execution determines everything Financial Value 12% Effort Value 12% Psychological Value 12% Time Value 10% FDA Adoption Modifier = trial_design × endpoint × guideline × payer_access (range ~0.42× to 1.27×) Final HighEV Score = (Raw / 5) × 100 × FDA Modifier
    Verdict Thresholds

    Below 40 — Pass

    Insufficient NVA. Consider fundamental redesign of value proposition.

    40–59 — Monitor

    Moderate value creation. Niche indications possible. Adoption probability uncertain.

    60–74 — Qualified

    Exceeds Cerdwen threshold. Eligible for deeper diligence and potential investment.

    75+ — High Conviction

    Massively outperforms incumbent. Matches Henry Ford's standard — customers wonder how the company can offer so much.

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    HighEV Dimension Weights

    The exact multipliers (summing to 100%) for the Core HighEV score. Modifying these requires a backend redeployment.

    About
    PlatformHighEV Life Sciences Evaluator
    FirmCerdwen Ventures
    FrameworkHighEV (Net Value Add) — Kevin Brophy
    BackendCloudflare Workers + D1
    AI EngineClaude Haiku 4.5 (Anthropic)
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