Universal Swarm Intelligence Engine · For high-stakes decisions
Simulate before you commit.
Commit with conviction.
Upload your brief. ChatterLab runs thousands of simulated people through it and shows you who reacts, how they react, and where your plan breaks — before you commit.
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DoneScroll to start simulation
Built for teams who need to know what happens before they act.
✓ Multi-platform simulation✓ Thousands of agents✓ Configurable simulation rounds✓ Selected organisations only
Five reasons to simulate first
Why teams simulate before committing
See where your plan holds and where it doesn’t — before you commit to it.
01 · SIMULATE BEFORE YOU COMMIT
“You can’t A/B test a critical decision.”
Pilots use a flight sim. Surgeons practice on a model. Engineers stress-test before launch. If you’re about to make a high-stakes decision that affects how people respond, the same logic applies. ChatterLab gives you the simulation.
Any document as input
Full scenario map output
02 · COMPLEX SYSTEMS HAVE STRUCTURE
“The crowd isn’t random. It has structure.”
People don’t react in isolation. They move in groups — communities, echo chambers, influence networks — each with its own beliefs and triggers. ChatterLab maps those groups and shows you who reacts, how far it spreads, and what drives it.
Thousands of agents
Multi-platform in parallel
03 · BUILT FOR STAKES, NOT SCALE
“Built for the decision that has consequences.”
Most analytics tools tell you what already happened. ChatterLab was built for a different problem: what’s likely to happen next, before you act. It’s most useful when the stakes are high and instinct isn’t enough.
Configurable rounds
Real-time monitoring
04 · THE GAP BETWEEN ASSUMPTION AND REALITY
“Upload the report. See where the assumptions break.”
Every plan has blind spots. The question is whether you find them before or after you commit. Upload your document — strategy brief, campaign plan, policy paper — and ChatterLab runs it against a simulated environment. The gaps show up in the simulation, not in the real world.
Pre-commitment gap analysis
Custom seed data per scenario
05 · REHEARSE, THEN EXECUTE WITH CONVICTION
“Rehears the future. Then move.”
Seeing how your decision plays out — before you make it — changes the quality of the decision. You know where the pressure points are. You’ve stress-tested your assumptions. You move with confidence, not just gut feeling.
−2.4 days
Avg. reduction in decision cycle
7 risk triggers
Median surfaced per simulation
How it works
Upload brief → run simulation → identify failure points
Step 01 · Input
Any document
Upload a strategy document, policy brief, campaign plan, or market analysis. ChatterLab builds a knowledge graph from your materials in minutes.
Strategy or policy document
Audience or market seed data
Custom personas (all tiers)
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Step 02 · Simulation
Simulation map
Thousands of simulated people react to your scenario across multiple platforms at once. You watch in real time: which groups respond first, how the reaction spreads, and where your plan holds or breaks.
Which groups react first
How reactions spread across platforms
Configurable simulation rounds
Real-time monitoring · Thousands of agents
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Step 03 · Output
Decision intelligence
Structured reports with risk triggers, assumption gaps, and recommended intervention points. Adjust the decision, or commit with the confidence of having already seen where it goes.
Executive summary
Risk trigger index
API export
Interactive report + Q&A
Predict
how stakeholders react before you commit
Simulate
1000's of AI agents across Twitter & Reddit
Analyze
boardroom-ready intelligence reports
Interact
interview any simulated agent for deeper insight
Use cases
One engine. Any high-stakes decision.
ChatterLab simulates how complex human systems respond to a decision — across industries, functions, and contexts.
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Corporate strategy & market entry
- Competitive response modelling before entering new markets
- M&A stakeholder reaction and integration risk
- Strategic pivot scenario testing across business units
- Pricing strategy impact on market dynamics
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Communications, PR & reputation
- Campaign pre-testing across audience clusters
- Crisis response sequencing and cascade prediction
- Narrative framing analysis before public statements
- Stakeholder response mapping for sensitive announcements
03
Public sector & policy
- Policy acceptance across different target groups
- Enforcement vs compliance dynamics
- Subsidies and measures with unintended consequences
- Mobility and energy transition adoption
04
Finance & risk
- Cash flow stress scenarios
- Treasury and liquidity policy under shocks
- Fraud and compliance behaviour patterns
- Covenant breach early-warning simulations
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Sales & go-to-market
- Pricing strategy per segment
- Channel mix (direct vs partners) and conflict effects
- Sales comp plan behavioural dynamics
- Launch sequencing per market
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M&A & post-merger integration
- Culture clash and talent flight risk
- Operating model harmonisation
- Customer retention during migration
- Synergy realisation realism check
Copilot
Ask the Copilot anything about ChatterLab
Ask anything about ChatterLab — what it does, how it works, whether it fits your use case.
Your guide through onboarding
The Copilot guides you through setup and onboarding — helping you scope your first scenario, structure your inputs, and get the most accurate results. Plain language, not analyst jargon.
- Answers questions about ChatterLab
- Explains what the simulation is showing you
- Helps you scope and design your first scenario
- Guides you through setup and onboarding
ChatterLab Copilot
Early Access
We’re onboarding design partners.
We’re selecting a small number of design partners — organisations with a real, live decision where ChatterLab can make a measurable difference.
WHO THIS IS FOR
Strategy, policy, comms, and risk teams
If your team is about to make a decision that affects how people respond — a campaign launch, a policy rollout, a public announcement, a market entry — and you want to see the likely reaction before you commit, this is built for you.
WHAT EARLY PARTNERS GET
Founding partner advantages
✓Priority onboarding with the founding team
✓Direct founder support throughout your pilot
✓Discounted founding partner rate
✓Influence on product roadmap
✓Full platform access during the pilot
Apply for Pilot
Limited spots. We respond within 48 hours.
FAQ
Direct answers.
How realistic are the agents?▾
Each agent is initialised from a knowledge graph built from your seed data. They carry distinct memories, sentiment priors, active windows, and behavioral parameters. They don’t post randomly — they respond to context, react to each other, and update across rounds. High-reasoning agents (journalists, analysts, politicians) operate on deeper inference budgets than standard agents.
How long does a simulation take?▾
Simulation duration depends on the number of agents and rounds configured for your scenario. Both are configurable per tier. Results are available immediately upon completion and you can monitor progress in real time during the run.
What platforms does ChatterLab simulate?▾
ChatterLab simulates multiple platforms and communication channels simultaneously — including Info Plaza (modelled on Twitter/X), Topic Community (modelled on Reddit), and additional channels depending on your scenario. Running them in parallel lets you see how your decision lands differently across fast-moving versus community-driven environments.
Can I use my own seed data?▾
Yes. You upload your own source materials — briefings, articles, client documents — and ChatterLab’s knowledge graph engine extracts the entities, relationships, and context that shape the simulation. The more specific your seeds, the more accurate the scenario.
Is this a monitoring tool?▾
No. Monitoring shows you what has already happened. ChatterLab models what is likely to happen before your decision enters the environment. These are different products solving different problems — and conflating them is why most “intelligence” tools don’t change what teams are able to do when it matters most.
Is my data secure?▾
All data is encrypted at rest and in transit. Your scenarios, seed files, and results are scoped to your workspace and never used for model training or shared with other customers. We operate under standard enterprise data agreements.
Waitlist
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