Your question. One connected model.

Start with the decision.
See the connections.

A pricing choice can reach beyond one market. Bring international reference pricing, US MFN, patient demand and revenue into the same forecast, then explore what changes.

The connected result

One connected view.
A clearer decision.

One setup.One timeline.One run.

Connected in this example

  • IRP
  • MFN
  • Patient Forecasting
  • Revenue Forecasting

Bring indication-specific patient demand, international price paths and US policy effects into a monthly revenue forecast. Inspect the markets and events behind the result.

Explore the forecasting workspace

Product forecast

How do we build the global picture, from launch to indication expansion?

One product. A connected outlook.

Bring indication-specific patient demand, international price paths and US policy effects into a monthly revenue forecast. Inspect the markets and events behind the result.

Explore the forecasting workspace

Price change

If we change a price in one market, what happens elsewhere?

Trace the decision beyond the market.

Follow a price change through your reference network and linked US benchmarks. Compare its international and US revenue implications using your configured demand forecast.

See reference pricing in action

Launch strategy

Could a different launch sequence strengthen our global plan?

Explore the choices. Understand the trade-offs.

Search eligible launch dates and market-entry alternatives with IRP, MFN and revenue evaluated together. Compare your original plan with the best evaluated alternative.

Explore pricing and launch optimisation

Patient demand

What would different uptake or indication timing mean for the forecast?

Put patient assumptions into the revenue picture.

Model eligible populations, competitive uptake and persistence by indication. Connect monthly product demand to revenue and the MFN calculations that use linked volume inputs.

Explore patient forecasting

The Data Hub foundation

One product dataset.
Modelled across SyMAP.

Bring your product, pack, market and pricing inputs together. Reuse that foundation across pricing, policy and revenue workflows, with the patient models and assumptions each analysis needs.

01Bring your data

Import or build.

Excel extracts

XLSX

Guided import for supported files

Map fieldsFilterPreview

Upload a dataset

CSV · JSON

Bring your existing dataset

Build in SyMAP

Create your dataset in the app

02Build the foundation

One product dataset.

SyMAP Data Hub

  • Products & packs
  • Markets & launch dates
  • List & net prices
  • Volume assumptions
Connect the libraries you needIRP rules · Patient models · FX

From early planning to lifecycle

Start with what you know.
Build as the product evolves.

Refine your data as evidence grows. Save a revised forecast dataset back to the Data Hub and use it as the foundation for the next analysis.

Early planning

Make the first assumptions useful.

Explore candidate markets, price ranges, launch windows and demand assumptions. Build a starting point you can refine as the evidence develops.

Market optionsPrice assumptionsDemand outlook

Launch

Turn a developing plan into a connected forecast.

Refine packs, market launch dates, access timing and price assumptions. Compare the international and US implications before taking the next decision.

Market packsLaunch & accessPrice strategy

Lifecycle

Keep the outlook relevant as the product evolves.

Add indication scenarios, revisit uptake and persistence, and reassess price changes or loss of exclusivity. Carry the product foundation into each new analysis.

IndicationsUptake & persistencePrice evolution

Inside SyMAP

See the forecast.
Understand the drivers.

Review the global result, then explore the markets, channels and events behind it.

SyMAP / Global Revenue ForecastActual product view
SyMAP Symara Base annual net revenue by region from 2026 to 2035, with total, peak and average annual revenue cards and a 2035 regional tooltip under the CMS Models scenario after MFN rebatesInspect the workspace

See the global outlook and the regions behind it.

Review total, peak and average annual net revenue, then follow the regional contributions over time. The 2035 tooltip breaks down the peak-year total, with the selected MFN policy scenario kept in view.

SyMAP / International Reference PricingActual product view
SyMAP list-price evolution across ten markets, with an April 2029 tooltip showing the Netherlands IRP reduction and reference-pricing event iconInspect the workspace

See where reference pricing changes the forecast.

Follow list prices across ten markets. The April 2029 tooltip marks a Netherlands IRP reduction, connecting the assessment to its place on the price path.

SyMAP / MFN Scenario ComparisonActual product view
SyMAP final net price evolution comparing Symara Base and Symara Optimised across three US channels and seven international markets, with a September 2035 tooltip showing prices in USD per pack and differences from the Symara Base baselineInspect the workspace

What changes between the base and optimised scenarios?

Compare Symara Base with Symara Optimised across three US payer channels and seven international markets. The September 2035 tooltip shows prices and differences against the Symara Base baseline.

Trace the result

Inspect the reference relationships and pricing events behind a revenue change.

Compare the alternatives

Save and reopen analyses to compare your options on the same basis.

Explore the drivers with AI

Use AI-assisted analysis to interpret results. Proposed actions require permission and confirmation, and are logged.

Actual SyMAP workspaces. Illustrative product data. Select an image to inspect the detail.

Pricing & launch optimisation

Understand the exposure.
Explore a stronger plan.

Set an objective and the choices you can make. Explore price ranges, launch sequences and strategy combinations, then inspect the best evaluated alternative and its drivers.

Launch timingPrice rangesTarget seekingPrice corridorsStrategy search
Explore Optimizer Studio
SyMAP / Optimizer Studio
SyMAP Symara demo launch plan and net revenue summary comparing the current plan with the best evaluated alternativeInspect the launch plan ↗
Actual product workspace. Illustrative data.

Patient & revenue forecasting

The revenue outlook.
Grounded in patient demand.

Build demand from epidemiology, competitive uptake and persistence. Model indications separately, then bring their monthly volumes into the product forecast.

Explore patient & revenue forecasting
Population & eligibilityTreatment & competitive uptakeMonthly product demandRevenue, connected to prices & policy

Applied to real pricing questions

A global launch question.
Put into practice.

A rare disease launch engagement brought market selection and launch timing together in a ten-year forecast.

Explore the project example
19 markets

in the published engagement

10 years

in the forecast horizon

Updated monthly

A changing landscape.
Continuing development.

SyMAP evolves through monthly product updates. Refine your assumptions, revisit earlier decisions and bring the next pricing question into the same platform.

Discover what’s new in SyMAP 2.0

One connected platform

More connected forecasting.
More ways to explore the decision.

Data Hub, patient modelling, policy scenarios and Optimizer Studio, connected around your product, your assumptions and your next decision.

Questions, answered

A clearer starting point.

Can we bring our existing data?

Yes. The Data Hub supports guided imports for supported Excel extracts, CSV and JSON uploads, and datasets built in the app. Refine and reuse the product dataset, selecting the rules and patient models appropriate to each analysis.

Can a dataset evolve as our product develops?

Yes. Edit or duplicate a dataset and save revised forecast inputs back to the Data Hub. This supports new planning, launch and lifecycle scenarios. Saved runs retain the inputs used for that analysis.

Can we focus on one capability?

Yes. SyMAP supports focused reference-pricing and MFN workflows as well as the integrated forecast. Explore international reference pricing or US MFN modelling for those capabilities in more detail.

Does Optimizer Studio optimise patient-driven forecasts?

The current Optimizer interface uses dataset volume forecasts and requires Patient Forecasting to be switched off. The unified forecasting workflow supports patient-driven volumes; optimisation studies explore pricing and launch choices with their configured dataset volumes.

How does SyMAP keep pace with policy changes?

See what has changed in the product updates. Monthly software releases develop the capabilities; your team controls the data, rules and policy assumptions used in each scenario.

Can Symaptics support the analysis as well as the software?

Yes. Symaptics delivers expert-led pricing and market access projects alongside SyMAP. Explore the projects or bring your question to a tailored demo.

Your next decision

See your strategy
in SyMAP.

Bring a product, a market or a decision. See how the connected platform could support your team.