Benchmark Labs provides field-specific environmental forecasts for farm managers working in specialty crops, who are unsatisfied with current weather offerings that do not reflect in-field conditions, thus causing significant financial losses.
Our technology integrates in-situ third-party hardware sensors with weather information, and delivers in-situ forecasts, recommendations and alerts - tailored to that specific location - to improve operational margins.
Benchmark Labs is an operational weather intelligence company that provides AI-driven, asset-specific micro-climate forecasting solutions. Founded in 2019 and headquartered in San Diego, the company leverages proprietary machine learning, in-situ IoT sensor networks, and advanced atmospheric modeling to deliver location-specific insights. Unlike traditional weather models that offer broad regional data, Benchmark Labs calibrates its intelligence to specific sites, enabling users to make precise operational decisions. The company's technology corrects biases in existing models by ingesting site-specific data, providing accurate and dynamic predictions that help optimize management activities across sectors such as agriculture, renewable energy, and land management.
These forecasting tools are critical for high-value asset managers looking to reduce operating costs and improve sustainability. In agriculture, for example, the company’s platform helps farmers optimize irrigation, monitor heat and frost risks, and manage labor schedules, with adopters reporting significant reductions in water usage and increases in crop yields. Beyond farming, Benchmark Labs supports the energy sector by optimizing wind farm operations and improving maintenance scheduling for the built environment. Backed by organizations such as NASA, the National Science Foundation, and Google for Startups, the company serves as a vital partner for industries where precise environmental data directly determines operational outcomes and financial performance.