One platform to predict audience opinion and rehearse decisions before you act.
AlphaVu combines survey-grade feedback and real-world signals to build an audience model that forecasts reactions, simulates scenarios, and explains what will change the outcome.
How AlphaVu works in practice
Survey-grade input + trusted signals from the real world.
An AI digital twin of your target audience—a statistical representation by geography and key segments (not individuals).
Predict what happens next and rehearse decisions—test what changes outcomes before you act.
Drivers, confidence ranges, and executive-ready insights.
Core workflows
Forecast support for an initiative, policy, message, or campaign.
Test scenarios—message, timing, targeting, design—to improve outcomes.
Understand what changed, where, and why.
Find who can move and what will move them.
Early warning signals and clear response options.
Defensible, evidence-backed decisions that reduce political and reputational risk.
Outputs your org can use immediately
“Opinion shifted in [area] on [topic]. Likely drivers: [x]. Risk level: [y].”
Forecasts by geography/segment with confidence ranges.
One-page summaries for leaders: forecast, drivers, risk, recommended actions.
No black box. Clear drivers.
AlphaVu pairs predictions with explainability and evidence.
- Confidence ranges (not single-number claims)
- Top drivers behind movement
- Evidence and citations teams can stand behind
- Scenario comparisons that show tradeoffs clearly
Forecast: +3 to +6 points (confidence range)
Drivers: affordability framing, trust, local impacts
Scenario: change channel → +2 points
Recommended action: adjust timing + target Segment B
Built for leaders and the teams they rely on.
Designed for strategic decisions with team-friendly tools.
Strategic forecasts, decision-ready briefs, and confidence ranges that support board-level decisions.
Scenario testing for messaging, timing, and channel strategy before public rollout.
Audience prediction for campaigns, launches, and brand positioning by segment.
Forecast satisfaction shifts and identify at-risk segments before they escalate.
Early warning signals, opposition drivers, and mitigation scenarios for high-stakes decisions.