Simulate the future before you build it.
Test a price, a message, a launch or a policy on a digital population calibrated with today’s real data. Watch the reaction. Decide with the answer already in hand.
Launch a simulation now.
This is a calibrated sample of the engine. Pick a scenario and watch the digital population react in real time.
Each particle is an agent deliberating and joining an opinion cluster: accept, hesitate or reject.
Reality first. Simulation second.
Synthetic-research platforms ask a model to imagine your customer. CrowMind doesn’t imagine — it listens first. Millions of real conversations, reviews and signals from your market, captured today, become the raw material of every agent. They aren’t personas an AI made up: they are replicas calibrated on what your market has already said and done.
That’s why when our agents react, they react like the real world.
Calibration
We build agents from real demographic, economic and cultural data of the market you care about.
Stimulus
You introduce the decision: a price, a message, a policy, a product. The scenario to test.
Reaction
Each agent reacts according to its profile. From 100 to a million individual responses.
Read-out
CrowMind synthesizes the result: acceptance, resistance, segments and the why behind each.
From a focus group to an entire society.
You don’t wait for a report. You watch your market think, live.
While the simulation runs, you watch your market’s opinion evolve in real time. Seeing 50,000 agents deliberate like your electorate or your customers is something no consultancy can offer.
Progress bar
The simulation advances to 34%, 67%, 100% with an estimated time of arrival.
Agent counter
Animated count of agents processing at this instant.
Opinion graph
For / against / undecided evolving live as agents deliberate.
Cluster map
Opinion groups forming and who influences whom — a force graph.
Interaction feed
The most relevant interactions between agents, in real time.
Convergence indicator
The exact moment the simulation begins to stabilize.
Executive PDF report
On completion, a document ready to present: findings, objections, recommendations.
Every simulation ends in a document ready for your board.
- Executive summary — the key findings in three paragraphs
- Opinion distribution — percentages for, against and undecided
- Top 5 objections detected, with frequency and real examples
- Top 5 arguments that resonated most with your audience
- Actionable recommendations — what to change in message, price or strategy
- Charts exported from the dashboard as visual evidence
Not every agent thinks the same — that’s why simulating a million is viable.
A three-layer architecture allocates intelligence where it matters: most follow population rules, opinion leaders reason more deeply, and the elite of decision-makers uses the most powerful model.
When a decision is worth a billion, the simulation is the insurance.
National government
A poorly designed policy costs $100M–$1B to correct.
Central bank
A wrong rate decision affects the economy for years.
Presidential campaign
Knowing the electorate’s reaction beforehand is priceless.
Global pharma
A launch in 50 countries costs $500M. The simulation is 0.1% of that.
Sovereign fund
They invest $1B–$10B per decision. $500K is their investment insurance.
International organization
The UN, World Bank and IMF decide for millions. They need certainty.