Buluttan develops AI-based hyper-local weather intelligence solutions for specialized industries. The platform provides precise renewable energy forecasting, grid operational insights, and tailored forecasts for aviation and logistics sectors. This intelligence helps clients enhance operations, safeguard assets, and improve safety through accurate, location-specific weather data.
Funding
$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many industries, including logistics, insurance, and renewable energy, face operational disruptions and financial losses due to inaccurate or generalized weather forecasts. Traditional weather prediction methods often lack the precision needed for localized decision-making, leading to suboptimal resource allocation and increased risk.
Solution
Buluttan provides hyper-local weather intelligence solutions by integrating numerical weather prediction (NWP) with deep learning algorithms. This approach enhances forecast accuracy across various temporal horizons, enabling businesses to optimize operations, minimize weather-related disruptions, and improve asset protection. The platform delivers real-time weather insights tailored to specific industry needs, such as route optimization for logistics, risk assessment for insurance, and power generation forecasting for renewable energy. By combining AI with real-world physics, Buluttan's forecasting engine improves accuracy, offering flexible temporal and spatial configurations suitable for hyper-local weather forecasting.
Target Audience
Buluttan's primary customers include businesses in mobility and logistics, insurance, energy, renewable energy, e/q-commerce, and port operations, seeking to mitigate weather-related risks and optimize their operations with precise weather insights.
Features
- AI-powered hyperlocal weather forecasts combining numerical weather prediction and deep learning
- SkyWatch product providing tailored weather insights for various industries
- Weather Intelligence API for seamless integration into existing systems
- Weather Map Layer for visualizing weather data
- High-resolution, multi-pressure level on-route predictions for aviation
- Point-based AI forecasting for airports
- Renewable energy forecasting algorithms combining machine learning with meteorological models