Salient Predictions

Salient Predictions

Uses ocean data and machine learning to predict precipitation and temperature from 3 weeks to 9 months ahead.

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Total Funding000k

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Revenues, earnings & profits over time
USD202120222023
Revenues000000000000
% growth-306 %104 %
EBITDA000000000000
Profit000000000000
EV000000000000
EV / revenue00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x
R&D budget000000000000

Source: Dealroom estimates

More about Salient Predictions
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Salient Predictions is a cutting-edge startup that leverages machine learning and climate expertise to provide highly accurate weather forecasts. The company operates in the meteorological data market, serving a diverse range of clients from sectors such as agriculture, energy, finance, and supply chain.

The business model of Salient Predictions is centered around the use of novel ocean and land-surface data, which is processed using deep neural networks. These are a type of machine learning algorithm that mimic the human brain's ability to recognize patterns. The company's models are statistical, meaning they use numbers and data to make predictions, rather than getting caught up in the intricate details of atmospheric physics. This approach allows Salient to find predictability in all aspects of the climate system.

Salient Predictions generates revenue by providing its clients with actionable outputs in the form of decision tools, map interfaces, and APIs (Application Programming Interfaces - sets of rules that allow different software applications to communicate with each other). These outputs are generated from the analysis of billions of weather and climate predictors, and impact functions, which are mathematical formulas used to predict the effects of certain variables.

Developed by scientists from MIT and Woods Hole Oceanographic Institution, Salient's forecasts and analytics offer a significant improvement in accuracy over competitive forecasts. The company generates 5 million API data points weekly and boasts 4 billion machine learning predictors, demonstrating its robust data processing capabilities.

Keywords: Weather Forecasting, Machine Learning, Climate Data, Agriculture, Energy, Finance, Supply Chain, Decision Tools, Map Interfaces, APIs.

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