Prediction you can defend.
AlphaVu is built for leaders who need more than hype. We prioritize validation, real-world use, and explainability—with security and governance designed for serious organizations.
Validation you can measure.
AlphaVu supports rigorous evaluation so teams can trust forecasts in real decisions.
Prediction accuracy measured against observed outcomes across geographies and segments. Our models are continuously validated against real-world results.
Systematic comparison of predicted vs. observed outcomes across campaigns, elections, and policy decisions—demonstrating reliability before you commit.
Performance tracked over time, not a one-time demo result. Accuracy metrics are refreshed continuously so teams see how models perform across changing conditions.
Explainable by design.
Every prediction includes the reasoning behind it—so you can evaluate, challenge, and defend the output.
- Key drivers behind movement
- Confidence ranges and uncertainty
- Scenario comparisons that show tradeoffs
- Evidence and citations teams can reference in briefs
Support forecast: +2 to +5 points (confidence range)
Key drivers: trust, affordability framing, local impacts
Scenario: shift channel → +1 point
Recommendation: change timing + target Segment A
Trusted by leaders and decision-makers who value community insight, accountability, and evidence-based action.
AlphaVu is used in high-stakes environments where credibility and speed matter.
Security and privacy built for enterprise and public sector.
AlphaVu meets the security standards required by the organizations we serve.
Independently audited and verified against the AICPA Trust Services Criteria for security, availability, and confidentiality.
- Secure access controls and auditability
- Data handling aligned to enterprise requirements
- Encryption in transit and at rest
- Role-based access controls
- Audience modeling is aggregated and segment-based
- No individual profiling or personal data collection
- Designed to support decisions without compromising privacy
Governance for responsible use.
Responsible use matters when decisions are high stakes.
Defined boundaries around what AlphaVu models and how outputs are used—designed for organizational accountability.
Built-in review and approval processes where needed, ensuring predictions are contextualized before reaching decision-makers.
Continuous monitoring for performance changes and model drift, ensuring prediction quality is maintained over time.
Ecosystem
AlphaVu's scalable and secure technology is built on a serverless, microservices architecture, enabling us to handle large volumes and diverse sources of data while ensuring data privacy. With this architecture, we can develop and test machine learning models using in-house or approved partner data scientists, providing you with custom models and actionable insights to enhance customer satisfaction and public sentiment.
FAQ
Short, direct answers for skeptics.
AlphaVu complements polls and surveys by turning research and signals into forward-looking predictions and scenario tests. AlphaVu goes far beyond polls, helping you predict how real-world changes are impacting audience opinion and behavior every single day.
No. AlphaVu models audiences in aggregate by geography and segment to support decision-making. We do not collect or store personal data.
For planning, scenario testing, and decision support—paired with human judgment and organizational context.
Yes. AlphaVu is SOC 2 compliant, independently audited for security, availability, and confidentiality controls.