What is synthetic market research in pharma?

Synthetic market research uses AI-driven HCP personas calibrated to real market data to simulate how physicians think, decide, and respond to brand messaging. Veltis Foresight lets pharma teams test strategies and scenarios before investing in traditional primary research — running in days rather than weeks.

How does Veltis Foresight differ from traditional pharma market research?

Traditional market research takes weeks, costs significantly per physician contacted, and cannot be re-run as evidence evolves. Veltis Foresight delivers scenario results in days, can be re-run instantly when guidelines update or new data arrives, and lets teams test unlimited scenario variations without additional cost per run.

Can Foresight simulate competitor drug launches?

Yes. Veltis Foresight lets you model what happens to your brand KPIs when a competitor launches, guidelines update, or new clinical evidence enters the market. You define the scenario parameters, and the platform models how calibrated HCP personas respond across prescribing behavior and brand perception.

Is Veltis Foresight compliant with pharmaceutical regulatory requirements?

Yes. All personas and scenarios are designed to work within pharmaceutical regulatory and MLR constraints. The Veltis AI team has decades of pharma industry experience and builds every product with compliance first.

How are HCP personas calibrated in Veltis Foresight?

Veltis Foresight personas are calibrated to real market data including prescribing patterns, therapeutic area guidelines, competitive landscapes, and brand-specific evidence. Each persona carries identity, beliefs, decision logic, memory, and context — enabling realistic simulation of HCP responses to brand messages and market events.

Veltis Foresight: Synthetic Market Research & Scenario Simulation for Pharma

The challenge

Marketing teams plan today and launch into tomorrow

The environment you are planning in is not the one you will launch into. The current market research toolkit is invaluable for understanding the now, but limited in anticipating possible scenarios.

Today's toolkit

Primary market research: Expensive, slow, and measures attitudes that already exist.
Advisory boards & KOL interviews: Qualitative and small-sample. Useful for depth, insufficient for statistical confidence or scenario variance.
Historical sales & Rx data: Backward-looking by definition. Tells you what happened, not what will happen when the environment changes.

Unanswered questions

Will positioning survive the next guideline update? Guidelines shift every 12–24 months in most therapy areas. Brand plans rarely test against the change before it lands.
How will HCPs react to a competitor launch? Competitive intelligence does not tell you how your own segments will move in response.
Which segments are most fragile? Segmentation is not enough to understand which segments are at risk and how you could defend them.

What it is

Test your future strategy before it happens

Veltis Foresight simulates knowledge absorption on HCP personas to create future scenarios and stress-test your marketing strategy.

Calibrate the now

Calibrate HCP personas against your real market research data and brand KPIs. The synthetic sample mirrors your actual world.

Build the scenarios

Load upcoming evidence such as trials in development, guideline changes, and new data. The absorption model determines how likely each persona is to have encountered it, based on marketing exposure and innovation profile.

Test the future

Re-run market research on the same demographic distribution and see exactly how much each KPI shifts by segment for each scenario.

How it works

A two-phase model calibrated to real data

Adjust the evidence and your strategy. Re-run and observe the changes.

Phase 1

Personas Builder

Constructs HCP personas from product profile, patient journey, and real-world context; calibrated on brand KPIs to reflect what they would say today.

Identity, beliefs, decision logic
Memory and contextual triggers
Calibrated to your real market data

Phase 2

Absorption Model

Determines the probability each persona has encountered upcoming knowledge based on three inputs.

Knowledge Builder: Upcoming trials, papers, guideline changes loaded into the tool.
Innovation archetype: How receptive the HCP is to adopting new evidence once exposed.
Exposure pressure: Rep visit frequency, congress participation, commercial touchpoints.

Output

Foresight

Runs RAG-driven market research on the same sample with new knowledge in place and scores the same KPIs, so you can see how your strategy holds up.

Inside the personas

A 5-layer model

Every Foresight simulation runs on parameterized HCP archetypes that are testable, reusable across brands, and calibrated to your real market.

Identity

Specialty, demographics, practice context.

Beliefs

Therapeutic preferences, brand attitudes, evidence priorities.

Decision logic

How the persona weighs trade-offs in prescribing decisions.

Memory

Prior exposure, conversations, evidence already absorbed.

Context

Market environment, competitive pressure, guideline landscape.

Deliverables

What you receive

Veltis Foresight enables scenario planning to move from intuition to evidence: a strategy calibrated to real data and stress-tested against multiple possibilities.

KPI performance changes

Quantified Brand KPI performance by persona and scenario
Identification of which KPI changed the most, in which scenario, for which persona
Re-runnable as evidence and strategy evolve

Strategy gap analysis

Scenarios in which positioning is fragile
Segments most at risk under future conditions
Where competitors gain ground and which personas are most receptive to disruption

Want to test your strategy against the future?

Tell us the scenario that's keeping the brand team up at night (guideline change, competitor launch, new evidence) and we'll talk through how Foresight would model it.

Schedule a connect