Have questions, feedback, or need support? Our team is here to help you navigate any weather-related inquiries or technical issues you might encounter.
123 Atmosphere Way
San Francisco, CA 94107
United States
General Inquiries: info@vortexvista.com
Support: support@vortexvista.com
Media: press@vortexvista.com
Customer Support: +1 (800) 555-WEAT
International: +1 (415) 555-9384
Available 24/7 for urgent weather inquiries
Monday-Friday: 8:00 AM - 6:00 PM PST
Saturday: 10:00 AM - 4:00 PM PST
Sunday: Closed (automated support available)
VortexVista uses advanced atmospheric modeling and machine learning algorithms to provide forecasts with industry-leading accuracy. Our 24-hour forecasts are accurate to within 1°F 90% of the time, and our precipitation predictions are 85% accurate for the same period. Accuracy decreases slightly with longer-range forecasts, but we continuously improve our models with real-time data.
We appreciate user reports that help improve our service. You can report discrepancies through our contact form (select "Data Accuracy Report" as the subject) or by emailing data@vortexvista.com. Please include your location, the type of discrepancy, and if possible, supporting photos or measurements.
Yes! VortexVista offers a robust API for developers and businesses. We have tiered plans ranging from free (limited access) to enterprise-level solutions. Visit our Developers page or contact our sales team at api@vortexvista.com for more information about integration options and pricing.
Our standard response time is within 24 hours for non-urgent inquiries. For urgent weather-related issues (especially during severe weather events), we prioritize these requests and typically respond within 2-4 hours. Premium subscribers receive expedited support with guaranteed 1-hour response times during business hours.
Absolutely! We welcome feature suggestions from our users. You can submit ideas through our contact form (select "Feature Request") or participate in our monthly feature voting on our community forum. Many of our most popular features started as user suggestions.