Zap is a weather intelligence platform that delivers hyper-local forecasts, hazard alerts, and decision support for
weather-sensitive operations. We combine numerical weather models, satellite/radar inputs, and machine-learning
calibration to produce practical forecasts with confidence and uncertainty signals, not just raw model output. Our
products include a web dashboard and API for real-time weather timelines, severe-weather risk alerts, and operational
planning tools used by farms, field-service teams, logistics operators, and other weather-exposed businesses.
Our business model is SaaS: subscription plans for individual professionals and teams, plus API and enterprise options
for higher-volume or custom workflow needs. Our core customers are growers, Ag-adjacent operators, local operations
teams, and small-to-mid-sized organizations that need faster, clearer weather decisions.
We are a lean, execution-focused team with hands-on experience across weather data pipelines, applied AI/ML, and
production software engineering. We emphasize reliability, measurable forecast skill, and continuous improvement so
customers can trust the system in real operating conditions.
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