Problem

Rainfall is highly localized, yet many weather products report forecasts or regional estimates rather than what actually fell at a specific site. That creates operational risk for businesses whose decisions depend on ground conditions: a location can receive several inches while another only minutes away gets almost none. The economic pain is avoidable downtime, misallocated crews or equipment, and costly weather-related mistakes, compounded by the expense and maintenance burden of installing physical gauges.

Precip’s clearest use case is helping outdoor operators decide whether conditions are safe for work. The company cites a customer that uses it daily to ensure heavy trucks do not become stuck in muddy fields. The same problem applies to agriculture, construction, landscaping, transportation, and property management, where knowing the actual rainfall total can determine whether to plant, pour, mow, drive, or deploy equipment.

Product / Service

Precip is an AI-powered, hyperlocal precipitation-observation platform delivered through a consumer mobile app and a developer/API product. It combines high-resolution Doppler radar, satellite information, and quality-controlled rain-gauge data, then uses scientific models and machine learning to calibrate those sources into estimates of actual rainfall rather than simply repeating a forecast. Its data is available at roughly 0.6–1.2 km resolution, with coverage primarily across the United States, Canada, and parts of Mexico.

The app provides rainfall and snowfall totals at selected locations, historical comparisons, radar and accumulation maps, alerts, forecasts, and additional layers such as soil moisture and snow depth. For businesses and software developers, Precip offers site-specific historical and current precipitation data through an API, with pay-per-use access or subscription plans. The benefit is gauge-like coverage across many locations without deploying and maintaining gauges, enabling more precise operational planning and risk mitigation.

Market

Precip competes in AI-enabled hyperlocal weather intelligence, precipitation monitoring, weather APIs, and specialized climate data for outdoor operations. Its differentiation is an emphasis on observed rainfall accumulation rather than forecast-only data: the company says its estimates are derived from radar and ground-truth observations and benchmark materially better than NOAA’s cited forecast model. Relevant alternatives include RainDrop, which also offers hyperlocal rainfall and snowfall totals from radar, gauges, and satellite data; Rainbow Weather, which focuses on AI-powered precipitation nowcasting; and broader weather-API providers such as Visual Crossing, which supplies historical, current, and forecast data globally. Physical rain gauges and conventional NOAA-based weather products are also substitutes.

The evidence indicates an early but commercializing startup rather than a clearly pre-revenue company. Precip was founded in 2023, joined Y Combinator’s Winter 2024 batch, and was listed as active with a three-person team. Its App Store listing shows a 4.8 rating from approximately 5.4K ratings, while a startup database reports a $500K seed round in April 2024. The product offers a free app tier, paid upgrades, API pay-per-use access, and subscription plans, but the available evidence does not disclose revenue, customer count, or recurring-revenue figures.