Predict public response before you change service.
AlphaVu forecasts community reaction and tests scenarios—so agencies can communicate clearly, protect trust, and drive adoption.
What this unlocks
What teams do with AlphaVu
Outcome-first workflows for transit agencies and transportation leaders.
- Forecast reaction to service/fare changes
- Simulate messaging and rollout plans
- Identify which routes/districts are most at risk
- Generate executive briefs for leadership and boards
Alerts • Insights • Executive briefs
Ridership depends on trust—and trust moves fast. One service change, fare adjustment, or incident can reshape how the public views your agency.
Use AlphaVu to forecast rider reaction by corridor and segment, test communication plans, and give leadership clear drivers + confidence ranges before the board meeting.
Example questions AlphaVu answers
Real questions that AlphaVu answers for teams like yours.
If we adjust [route/frequency], what happens to support by corridor and key rider segments?
Which message reduces backlash, and who do we need to reach first?
What’s the likely reaction if we announce now vs after [event]?
See it in practice
Continuous audience prediction guided CATS through a high-stakes transit referendum.
Read case study →- Validation metrics (Trust Center)
- Case study outcomes (Resources)
See AlphaVu on your decisions
Bring one real scenario. We’ll show the forecast, the drivers, and what changes outcomes.