Define the Opportunity

Start with the asset, indication, geography, patient population, and forecasting objective. PharmaCast-AI orients the workflow around the therapeutic context, whether you are evaluating a rare disease, oncology asset, specialty therapy, or high-volume primary care market.

Build a Sourced Assumption Base

AI-assisted research agents organize starting assumptions across epidemiology, diagnosis, treatment flow, pricing, access, uptake, competitive events, and other market drivers. Proposed assumptions are structured into a clear grid with source context so your team can review the basis for each input.

Review, Adjust, and Approve

You maintain control over the forecast. Users can edit assumptions, set ranges, add internal knowledge, document rationale, and approve the inputs that should flow into the model. PharmaCast-AI provides the starting point; your team provides the clinical and commercial judgment.

Generate Pharma-Specific Model Logic

Once assumptions are approved, PharmaCast-AI applies structured patient-flow logic tailored to the market and indication. The platform reduces manual formula wiring and helps avoid the broken links, hidden dependencies, and version-control issues common in spreadsheet-based models.

Test Scenarios and Sensitivities

Evaluate the impact of changes in launch timing, competitor entry, line-of-therapy positioning, diagnosis rates, pricing, access, penetration, and other commercial levers. Compare base, upside, downside, and event-driven scenarios without rebuilding the model from scratch.

Export Decision-Ready Outputs

Generate clear outputs for leadership reviews, diligence discussions, planning cycles, or investor-facing analysis. Export model outputs, assumption summaries, charts, and PPT/CSV/PDF files that can be incorporated into your existing reporting process.

How It Works

From indication to decision-ready forecast

Traditional forecasting often starts with blank spreadsheets, manual research, and fragile formulas. PharmaCast-AI replaces that with a structured workflow that accelerates the build while keeping your team in charge of the strategy.

Define the opportunity

Start with the asset, indication, geography, patient population, and forecasting objective. PharmaCast-AI orients the workflow around the therapeutic context, whether you are evaluating a rare disease, oncology asset, specialty therapy, or high-volume primary care market.

Build a sourced assumption base

AI-assisted research agents organize starting assumptions across epidemiology, diagnosis, treatment flow, pricing, access, uptake, competitive events, and other market drivers. Proposed assumptions are structured into a clear grid with source context so your team can review the basis for each input.

Review, adjust, and approve

You maintain control over the forecast. Users can edit assumptions, set ranges, add internal knowledge, document rationale, and approve the inputs that should flow into the model. PharmaCast-AI provides the starting point; your team provides the clinical and commercial judgment.

Generate pharma-specific model logic

Once assumptions are approved, PharmaCast-AI applies structured patient-flow logic tailored to the market and indication. The platform reduces manual formula wiring and helps avoid the broken links, hidden dependencies, and version-control issues common in spreadsheet-based models.

Test scenarios and sensitivities

Evaluate the impact of changes in launch timing, competitor entry, line-of-therapy positioning, diagnosis rates, pricing, access, penetration, and other commercial levers. Compare base, upside, downside, and event-driven scenarios without rebuilding the model from scratch.

Export decision-ready outputs

Generate clear outputs for leadership reviews, diligence discussions, planning cycles, or investor-facing analysis. Export model outputs, assumption summaries, charts, and PPT/CSV/PDF files that can be incorporated into your existing reporting process.

Core Capabilities

Built for the reality of pharma forecasting

PharmaCast-AI is not a generic financial modeling tool. It is designed around the specific challenges of life sciences forecasting: patient journeys, market events, assumption governance, and high-stakes strategic decisions.

Pharma-specific patient-flow modeling

Forecast across real-world commercial dynamics, including epidemiology, diagnosis and
treatment flow, eligible patient populations, line-of-therapy dynamics, treatment duration,
persistence, market share, uptake, pricing, access, and competitive events.

AI-assisted assumption development

Move beyond the blank page. PharmaCast-AI helps generate structured starting assumptions
and ranges, with source context and rationale captured in one place. Your team can focus on
validation, strategy, and decision-making rather than manual research aggregation.

Human-in-the-loop control

PharmaCast-AI is designed to support expert judgment, not replace it. Assumptions, sources,
logic, and outputs remain visible and editable, so users can understand how the forecast was
built and adjust it based on internal expertise.

Scenario and sensitivity analysis

Compare scenarios quickly and identify which assumptions matter most. Use scenario testing to
support business development evaluations, portfolio prioritization, launch planning, market
event response, and executive decision-making.

Governance and repeatability

Institutional-grade forecasting requires a clear paper trail. PharmaCast-AI supports repeatable
methodology, organized assumption sets, model history, role-based access, and structured
workflows that make forecasts easier to update, explain, and defend.

Outputs for commercial teams

Export summaries, outputs, charts, and model files in formats that work with existing workflows.
PharmaCast-AI is built to support the way teams already communicate forecasts across
spreadsheets, PDFs, planning decks, and leadership discussions.

Decision

Should we license this asset?
How should we size this launch?
Which assets deserve funding?
Why did the forecast change?
What if a competitor launches early?

Primary user

BD/Corporate Development
New Product Planning
Portfolio Strategy
Forecasting
Commercial insights

Output to show

First-pass revenue forecast, key assumptions, base/upside/downside scenarios
Patient-flow model, uptake curve, pricing/access assumptions
Standardized forecasts across assets and indications
Audit trail, assumption history, source documentation
Event-driven scenario comparison
Five spreadsheet tables with error codes and warning icons on dark background and an hourglass symbol.

Native Slide Generation

Planned export capabilities will help turn forecast outputs into PowerPoint and Google Slides-ready materials, reducing manual copy-pasting for leadership meetings and planning reviews.

Advanced Sensitivity and Tornado Charts

Enhanced sensitivity tools will make it easier to identify the key drivers of forecast value, uncertainty, and risk.

Data Integration

Future integrations are being designed to connect commercial, clinical, and real-world data sources directly into live forecasting workflows, reducing manual data transfer and improving update speed.

Enterprise Readiness

Planned enterprise capabilities include single sign-on, advanced audit logs, permissioning controls, and API access to support global pharmaceutical organizations.

Roadmap

What’s next for PharmaCast-AI

We are continuously investing in capabilities that expand analytical depth, streamline forecasting workflows, and support enterprise-scale deployments.

Native slide generation

Planned export capabilities will help turn forecast outputs into PowerPoint and Google Slides-ready materials, reducing manual copy-pasting for leadership meetings and planning reviews.

Advanced sensitivity and tornado charts

Enhanced sensitivity tools will make it easier to identify the key drivers of forecast value, uncertainty, and risk.

Data integration

Future integrations are being designed to connect commercial, clinical, and real-world data sources directly into live forecasting workflows, reducing manual data transfer and improving update speed.

Enterprise readiness

Planned enterprise capabilities include single sign-on, advanced audit logs, permissioning controls, and API access to support global pharmaceutical organizations.

What the platform does

From asset question to forecast-ready outputs.

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Checklist with two items checked and one unchecked beside a target with an arrow hitting the center.

Structures the forecasting question

Define the asset, indication, geography, timing, and forecasting objective.

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Two document icons with tables and a green link symbol inside a circle on a light background.

Generates forecast-ready assumptions

Create structured assumptions with source context across epidemiology, pricing, access, uptake, and competition.

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Diagram with circles and squares connected by arrows leading to a bar chart and a square.

Converts assumptions into model logic

Apply patient-based and patient-flow forecasting methodology without manual formula wiring.

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Computer screen with rising green line graph and a green download arrow beside it.

Produces scenario-ready outputs

Compare cases, test sensitivities, and export materials for planning, diligence, and leadership review.

Comparison

How PharmaCast-AI compares

Why rely on static spreadsheets when your team needs faster iteration, better traceability, and more transparent decision support?

What you need

Starting point
Initial model build
Traceability
Scenario testing
Updates
Collaboration
Governance
Decision confidence

Traditional Excel & consulting

Blank spreadsheets, manual research, and inconsistent templates.
Weeks of manual setup, data gathering, and formula wiring.
Assumptions, sources, and rationale scattered across tabs, comments, and separate documents.
Duplicate worksheets and manual changes increase risk of errors.
Manual edits across many worksheets and outputs.
Model understanding often concentrated with one or two owners.
Limited model history and inconsistent audit trail.
Time spent maintaining the model instead of interrogating strategy.
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Recommended

PharmaCast-AI

Guided workflow with AI-assisted assumption development.
Decision-ready model structure in hours once the objective and inputs are defined.
Centralized assumption grid with source context, review status, and rationale.
Scenario management tied to the core model logic.
Centralized inputs designed to propagate through the forecast.
Shared workflow that makes assumptions, logic, and outputs easier for stakeholders to review.
Role-based access, model history, and repeatable methodology.
More time for validation, strategy alignment, and executive decision-making.
FAQs

Frequently asked questions

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Can PharmaCast-AI support rare diseases, oncology, and other complex markets?

Yes. PharmaCast-AI is designed to support a range of therapeutic areas and market structures, from rare disease epidemiology to multi-line oncology treatment journeys and high-volume primary care markets. The platform helps structure forecasts around the commercial levers that matter for each disease area.

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How does PharmaCast-AI help BD teams move faster during diligence?

PharmaCast-AI helps teams move from an asset question to a structured first-pass forecast more quickly. Users can review sourced assumptions, adjust inputs based on internal knowledge, test scenarios, and export outputs that support valuation, diligence, and investment committee discussions.

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Does PharmaCast-AI replace our existing Excel models?

Not necessarily. PharmaCast-AI can be used as an intelligence and workflow layer that accelerates assumption development, patient-flow modeling, and scenario testing while still supporting exports into existing Excel models, BI tools, PDFs, and planning decks.

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How does the platform keep expert judgment in the process?

PharmaCast-AI is designed for human-in-the-loop forecasting. Your team can review, edit, approve, and document assumptions before they flow through the model. The platform provides structure and speed; your experts provide the clinical, commercial, and strategic judgment.

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How are proprietary assumptions and sensitive inputs handled?

PharmaCast-AI is built for governed life sciences workflows, with role-based access and structured review processes designed to keep models and assumptions accessible only to authorized users. Enterprise implementations can be configured to align with customer security, governance, and onboarding requirements.

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What support is included during onboarding?

New customers receive hands-on onboarding to align the platform to their use cases, therapeutic areas, model structures, and reporting needs. The goal is to help teams generate value quickly while building a repeatable forecasting workflow that can scale across assets and stakeholders.

get started

See PharmaCast-AI convert asset queries into traceable assumptions, forecast logic, and decision-ready outputs.

PharmaCast-AI helps teams build forecasts faster, align stakeholders earlier, and defend decisions with greater confidence.

Whether you are evaluating an asset, preparing for a planning cycle, conducting diligence, or standardizing forecasting methodology, PharmaCast-AI gives your team a faster and more transparent way to move from question to decision.

Request demo