The product

One workspace, two altitudes.

A single indication assessed end to end, and the portfolio view that compares every indication you hold on the same dimensions.

Indication

One workspace. Nine connected modules.

Each built to answer one decision question.

Executive Cockpit

Is this opportunity attractive and why?

The answer to your strategic questions at a glance — the four figures that decide the call.

app.biorev.io/heart-failure/executive-cockpit

Heart Failure · US · Illustrative only

Last refresh: Q3 2026

GeographyUSEF segmentHFrEFNYHAII–III
Addressable patients430,000HFrEF, NYHA II–III · add-on positioning
Quadruple therapy22%of treatedOn all four foundational classes
Phase III programmes14of 116 active programmes · 7 marketed classes, two lines
Next Phase III readoutH2 2027Asset A · event-driven primary readout

Market attractiveness

Market attractiveness for Heart Failure: strong on epidemiology and residual unmet need, weak on pricing potential.

Verdict

Attractive on epidemiology and residual unmet need; constrained by the price a chronic oral entrant can command and by the differentiation it has to show on top of four foundational classes.

What would change the call

An add-on that cuts HF hospitalisations by at least 12% on top of quadruple therapy, priced inside the $4,600–$6,400 corridor.

0–5 = attractiveness. A crowded market or a high bar scores low.

So what?

  1. Only 22% of treated HFrEF patients are on all four foundational classes – the headroom for an add-on sits inside the treated pool.

  2. Residual event risk on optimised therapy is the largest unmet need – and the only dimension priced at the top of the corridor.

  3. Three of seven marketed classes anchor below $200 a year, which caps the price a chronic oral entrant can command.

Changed since last refresh

SGLT2 inhibitor share of treated moved 34% → 39%; the addressable estimate moved 410,000 → 430,000.

Epidemiology

How many patients could actually be addressable?

A modular patient funnel, filterable by geography and by relevant disease-specific clinical dimensions. Discover how many patients can benefit from your treatment.

app.biorev.io/heart-failure/epidemiology

Heart Failure · US · Illustrative only

Last refresh: Q3 2026

GeographyUS

Patient funnel

Patient funnel for Heart Failure in the US: 262 million adults narrow to 900,000 currently treated patients at the published segment and the base-case assumptions.

Where patients are lost

19%never diagnosed

79%of diagnosed outside the segment

22%of eligible untreated

430,000addressable for an add-on · 48% of treated ·Asset Deep Dive

Assumptions

81% of prevalent

Base case

21% of diagnosed

Base case

78% of eligible

Base case

Treatment & Unmet Need

How well are patients served today?

The treatment algorithm shows how patients move through therapy today – diagnosis, therapy steps, progression and switches – with a structured product card for each marketed drug class. Unmet need is derived from the limits of the current standard of care.

app.biorev.io/heart-failure/treatment-unmet-need

Heart Failure · US · Illustrative only

Last refresh: Q3 2026

Patient journey

Roadblocks marked in brass

Heart Failure patient journey: how patients arrive at diagnosis (46% at an acute admission, 34% through a specialist, 20% in primary care), then diagnosis, four foundational classes in line 1, an add-on line, device and advanced therapy, then progression or switch — with three roadblocks: one patient in five undiagnosed, 78% short of the full regimen, add-ons started after an event.

How patients arrive at diagnosis

Routes to a Heart Failure diagnosis: 46% at an acute hospital admission, 34% through a specialist referral, 20% in primary care.

Treatment algorithm

Share of the patients in each line

Heart Failure treatment algorithm in three lines: 900,000 treated patients in line 1 on up to four foundational classes, 22% on all four at target dose; 14% reach a line-2 add-on; 8% reach device and advanced therapy.

1LFoundational therapy

900,000 patients · 100% of treated

22%on all four pillars at target dose

14%of treated patients move to an add-on

2LAdd-on for residual symptoms

126,000 patients · 14% of treated

2 in 3started after a hospitalisation

8%of treated patients reach device and advanced therapy

3LDevice and advanced therapy

72,000 patients · 8% of treated

NYHA IVthe segment managed from here on

Treatment deep dive

The seven marketed Heart Failure classes compared by line of therapy on generic status, efficacy, tolerability, annual net cost and share of treated patients.

Line 1 · Foundational therapy

Line 2 · Add-on for residual symptoms

Efficacy and tolerability scored 0–5, higher is better. Cost is the annual net price per patient. Shares validated in PMR.

Unmet need — what the standard of care leaves

Validated in the KOL interviews

Each dimension carries what the current standard of care delivers, what it leaves unresolved, and how large the residual gap is.

So what?

The gap an add-on is paid for is residual events on optimised therapy; symptoms and convenience are real, but do not reach the top of the corridor.

Competitive Pipeline

Who else is coming to market — and when?

Every programme in development, filterable by stage, modality and mechanism: who is closest to market, on which timeline, with one card per asset. Pick a stage or a modality and the timeline shows its programmes.

app.biorev.io/heart-failure/competitive-pipeline

Heart Failure · US · Illustrative only

Last refresh: Q3 2026

MarketUSLaunch window2026–2031

Competitive timeline

2 potential launches before Asset A (2029) · 1 the same year

Competitive timeline 2026 to 2031: the eleven programmes nearest to market, from a regulatory decision in 2027 to launches through 2031, filterable by phase, modality and mechanism.

Programmes by phase

Heart Failure pipeline by development stage: 46 preclinical programmes, 22 Phase I, 31 Phase II, 14 Phase III and 3 filed or approved. Selecting a stage filters the timeline.

116 active programmes in the indication.

Modality split

Pipeline modality split: small molecules are 54% of programmes, ahead of antibodies and biologics at 18%, RNA at 12%, cell or gene therapy at 9% and other modalities at 7%.

54% of the pipeline is oral – the archetype an add-on competes in on price.

Stakeholder Ecosystem

Who shapes treatment and where are the patients?

Influencer mapping with explainable scores – publications, trials as principal investigator, guideline involvement, congress visibility. Centers are mapped by where patients concentrate and where treatment decisions are actually made.

app.biorev.io/heart-failure/stakeholder-ecosystem

Heart Failure · US · Illustrative only

Last refresh: Q3 2026

MarketUS

Influence score

Influence scores for KOL 01 to KOL 06, from 4.6 down to 2.8 out of 5, each the plain mean of seven components.

Treatment centres — top 5 by treated patients

Concentration of treated patients across centres: the top 5 hold 6.5%, the top 10 hold 9.6%, the top 20 hold 14% and all other centres hold 86% — a broadly managed market.

Top 5 6.5%Top 6–10 3.1%Top 11–20 4.4%All other centres 86%

The five largest treatment centres by share of treated patients, from Center 1 at 1.8% down to 0.9%.

The twenty largest centres hold 14% of treated patients: heart failure is managed broadly, so which centres set protocol matters more than which are biggest.

Patient & Physician Intelligence

What problems actually matter to stakeholders?

What matters most to patients, and what would change how physicians prescribe – with how many of them say so, in each source.

app.biorev.io/heart-failure/patient-physician-intelligence

Heart Failure · US · Illustrative only

Last refresh: Q3 2026

MarketUSPeriod2024–Q3 2026

What matters to patients

Share agreeing · 2 surveys, n = 1,650 · HTA input

Four patient claims for Heart Failure, each with the share of patients agreeing: treatment burden 72%, residual symptoms 65%, out-of-pocket cost 38%, day-to-day measures 29%.

For a new asset

Once daily, no extra monitoring, and a symptom the patient notices.

What would change prescribing

Physicians and payers · survey n = 312 · 2 KOL and 1 payer interviews

Four physician and payer claims for Heart Failure, each with the share of physicians agreeing: titration limits 82%, a new class has to beat four 76%, access rules 61%, twice-daily adherence 54%.

For a new asset

A gain shown on top of the four pillars, and no new titration limit.

Share agreeing in each source, weighted by sample size where a claim has more than one survey. Interviews: KOL 01, KOL 02 and Payer 01, Q3 2026.

Pricing & Market Access

What could a therapy in this indication command, and what would payers accept?

Current therapy prices are normalised to an annual cost per patient and combined with comparable recent launches to produce a price corridor. Payer interviews are used to test the corridor.

app.biorev.io/heart-failure/pricing-market-access

Heart Failure · US · Illustrative only

Last refresh: Q3 2026

Price corridor

Annual net $ per patient

Per patient per year

Standard of care today · $4,300 net

So what?

A chronic oral add-on prices between $3,200 and $6,400; only a hospitalisation or mortality gain on top of quadruple therapy reaches the top.

Net prices, US.

What the corridor is built from

Ideal TPP

What profile would a new asset need to win here?

The profile a new asset needs to win here: for each dimension, the minimum to be relevant and the target to win, against today’s standard of care. Pick the benefit you can deliver on each and see the price it supports.

app.biorev.io/heart-failure/ideal-tpp

Heart Failure · US · Illustrative only

Last refresh: Q3 2026

Ideal target product profile

Minimum → target vs standard of care

Seven target-product-profile dimensions for Heart Failure, each with the minimum profile to be relevant and the target profile to win, measured against the standard of care today. A level can be chosen on each, and the price the profile supports recomputes.

Minimum to be relevantTarget to winStandard of care todayBenefit you deliverBest Phase III competitor – Asset B, expected

  • Standard of care today 0%Minimum to be relevant 8%Target to win 15%Asset B 8%

    The residual event risk on optimised therapy – the largest unmet need in the indication.

  • Standard of care today 0%Minimum to be relevant 12%Target to win 25%Asset B 14%

    The endpoint the payer tied to the top of the corridor.

  • Standard of care today 3 ptsMinimum to be relevant 5 ptsTarget to win 10 ptsAsset B 4 pts

    34% of treated patients stay NYHA III on optimised therapy.

  • Standard of care today 62%Minimum to be relevant 65%Target to win 80%Asset B 70%

    Benefit holds while treatment continues; durability pays only where it shortens the regimen.

  • Standard of care today 88%Minimum to be relevant 88%Target to win 94%Asset B 86%

    Potassium and blood pressure cap titration today; removing one of them would be paid for.

  • Standard of care today 59%Minimum to be relevant 59%Target to win 90%Asset B 59%

    The strongest patient theme, and the one payers pay least for.

  • Standard of care today 43%Minimum to be relevant 43%Target to win 75%Asset B 25%

    HFpEF is reached by one class; the segment is where a label could grow.

Thresholds from the unmet-need analysis, the marketed classes and the KOL and payer interviews; price from the pricing corridor. Asset B is the strongest Phase III programme on the timeline.

What this profile is worth

0 of 7 at target · 7 at minimum · 0 below minimum

Annual net price supported

$4,600

Chronic oral corridor, net $ per patient per year

Low$3,200Base$4,600High$6,400Ceiling$8,000

How it adds up

  • Corridor base$4,600
  • Annual net price supported$4,600

Peak penetration this profile earns

18%

0 of 7 at target · 7 at minimum · 0 below minimum

Used by the Asset Deep Dive · Asset Deep Dive

Asset Deep Dive

Can the asset win, when can it reach market and what could it be worth?

One asset valued end to end. Patients come from the epidemiology funnel, penetration and price from how the asset measures up to the ideal TPP – change either and the value moves with it. Then the probability of success, driver by driver, and the asset’s profile and timeline to launch.

app.biorev.io/heart-failure/asset-deep-dive

Heart Failure · US · Illustrative only

Last refresh: Q3 2026

Peak-sales model

Asset A

Peak-sales model for Asset A: addressable patients times peak penetration times annual net price, with persistence applied. At the base case 430,000 patients, 18%, $4,600 and 0.82 give $292m.

Addressable patients

430,000

48% of 900,000 treated · HFrEF · NYHA II–III

Epidemiology

Peak penetration

18%

0 of 7 dimensions at target · from the profile set in Strategic fit

Strategic fit

Annual net price

$4,600

the price that profile supports on the corridor

Ideal TPP

Peak sales

$292m

77,400 patients at peak

0.82 persistence applied · share of a year on therapy, from the 12-month discontinuation of the marketed classes

Risk-adjusted$146mat 50% PoS

Next value inflectionH2 2027 readout – a target-level mortality result takes peak sales from $292m to $496m.

Strategic fit versus the ideal TPP

Where Asset A is expected to land

Asset A against the minimum and target the ideal TPP sets for each dimension; the level chosen on each sets the penetration and the price in the peak-sales model.

Minimum to be relevantTarget to winStandard of care todayWhere Asset A is expected to landBest Phase III competitor – Asset B, expected

  • Standard of care today 0%Minimum to be relevant 8%Target to win 15%Asset B 8%

    FitMinimum

  • Standard of care today 0%Minimum to be relevant 12%Target to win 25%Asset B 14%

    FitMinimum

  • Standard of care today 3 ptsMinimum to be relevant 5 ptsTarget to win 10 ptsAsset B 4 pts

    FitMinimum

  • Standard of care today 62%Minimum to be relevant 65%Target to win 80%Asset B 70%

    FitMinimum

  • Standard of care today 88%Minimum to be relevant 88%Target to win 94%Asset B 86%

    FitMinimum

  • Standard of care today 59%Minimum to be relevant 59%Target to win 90%Asset B 59%

    FitMinimum

  • Standard of care today 43%Minimum to be relevant 43%Target to win 75%Asset B 25%

    FitMinimum

Strategic fit

Asset A reaches the target on 0 of 7 dimensions and clears the minimum on 7. What the H2 2027 readout shows decides the profile it launches with.

Probability of success

Base rate by stage

Historical probability of reaching approval from each development stage in this therapy area; Phase III, the current stage, is marked.

  • Phase I8%
  • Phase II15%
  • Phase IIICurrent stage55%
  • Filed88%

Asset-specific drivers

As assessed

  • Target validation±3 ppMechanism validated in an earlier Phase III programme
  • Biomarker clarity±3 ppNo enrichment biomarker; enrolment by EF segment and NYHA class
  • Clinical effect size±6 ppPhase II moved the natriuretic peptide more than the functional endpoint
  • Modality novelty±2 ppOral small molecule on a precedented development path
  • Safety signal±5 ppNo new signal reported at Phase II
  • Regulatory precedent±2 ppEvent-driven endpoint accepted in the indication
  • Competitive context±6 pp14 Phase III programmes; a comparator could move before readout

Adjusted probability of success

Low35%

Base50%

High60%

Base rate plus the drivers; low and high at 0.7× and 1.2× of it.

Clinical and development profile

Asset A

Target / mechanism
Cardiac myosin modulation
Modality
Oral small molecule
Stage
Phase III, enrolling
Population
HFrEF, NYHA II–III, on foundational therapy
Primary endpoint
CV death or HF hospitalisation, event-driven
Sponsor
Company A
Differentiation
Adds a contractility mechanism absent from the four foundational classes
Phase II
Natriuretic peptide and symptom score moved; no new safety signal
Competitive position at launch
2029: two marketed add-on classes; Asset J launching the same year, Asset B in 2030

Timeline to launch

Asset A timeline: Phase III enrolling in 2026, primary readout in the second half of 2027, submission in 2028 and a potential launch in 2029.

  • 2026Phase III enrolling
  • H2 2027Primary readout
  • 2028Submission
  • 2029Potential launch

Portfolio

Your whole pipeline, one workspace.

A pipeline is rarely one indication. The portfolio view puts every indication you hold on the same dimensions the modules above measure – so comparison, prioritisation and the annual allocation discussion run on live assessments rather than on a deck that started ageing at delivery. Shown here on an illustrative ten-indication cardio-renal-metabolic pipeline.

Portfolio Cockpit

Where does the portfolio stand today?

Your entire portfolio in one interactive view — value, spend and the decisions ahead.

app.biorev.io/portfolio/portfolio-cockpit

Portfolio · 10 indications · US · Illustrative only

Last refresh: Q3 2026

IndicationsAll (10)GeographyUS

Development spend, next 12 months

Planned development spend concentrates on the two Phase III programmes: Heart failure (HFrEF) at 28% and ATTR cardiomyopathy at 22%.

CardiovascularRenalMetabolic

Decision calendar

Portfolio decision calendar 2027 to 2031: the first potential launch is ATTR cardiomyopathy in 2028, followed by Heart failure (HFrEF) in 2029.

Changed this quarter

Comparison Matrix

Which indications earn their place in the pipeline?

Every indication scored across the key dimensions assessed — sortable by any column.

app.biorev.io/portfolio/comparison-matrix

Portfolio · 10 indications · US · Illustrative only

Last refresh: Q3 2026

GeographyUSSortRisk-adj.

Indication comparison

Ten indications compared on six dimensions, sortable by any column: ATTR cardiomyopathy leads on risk-adjusted value at $209m, and Type 2 diabetes trails at $35m despite the largest addressable pool.

Risk-adjusted is peak sales × probability of success.

Prioritisation Map

How do indications compare across key dimensions?

Any two dimensions of the portfolio, plotted against each other — shown here as market attractiveness against probability of success, with peak sales as the size of every mark.

app.biorev.io/portfolio/prioritisation-map

Portfolio · 10 indications · US · Illustrative only

Last refresh: Q3 2026

GeographyUS

Attractiveness vs probability of success

Horizontal: market attractiveness (0–5) · Vertical: probability of success · Mark area: peak sales, base case

CardiovascularRenalMetabolic

The illustrative portfolio prioritised: ATTR cardiomyopathy and Heart failure (HFrEF) combine high probability of success with near-term launches, while Type 2 diabetes sits lowest on both axes. Marks are coloured by therapy area.

Interested in seeing it live?