Improvin

Improvin

Improvin' is an AI-powered platform that helps companies in the food industry to quantify and reduce carbon emissions in their own supply chain.

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Revenues, earnings & profits over time
SEK2022
Revenues0000
EBITDA0000
Profit0000
% profit margin(222 %)
EV0000
EV / revenue00.0x
EV / EBITDA00.0x
R&D budget0000

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More about Improvin
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Improvin.com is a startup that leverages advanced technology to help companies in the food industry measure and reduce their carbon emissions. The platform primarily serves processors and Fast-Moving Consumer Goods (FMCG) brands, providing them with tools to quantify and report CO2 emissions from their primary production processes. By using artificial intelligence (AI) and machine learning combined with satellite imagery data, Improvin.com minimizes the need for manual reporting, making the process efficient and accurate.

The company operates in the sustainable food market, focusing on reducing carbon footprints and promoting biodiversity. Improvin.com’s business model revolves around offering a user-friendly and flexible platform that allows clients to calculate their specific emissions baseline. This data can then be used to incentivize more sustainable agricultural practices by offering price premiums to growers based on actual emissions data.

Improvin.com makes money by providing this AI-powered platform to food industry companies, who pay for the service to measure and report their carbon emissions. The platform also offers tailored verification methods to ensure the accuracy and reliability of the data collected. This verified data can be communicated to stakeholders, helping companies demonstrate their commitment to sustainability and climate-positive actions.

In summary, Improvin.com is a technology-driven company that helps the food industry achieve ambitious climate goals by providing a reliable and efficient way to measure and reduce carbon emissions. The platform is intuitive and easy to use, making it accessible for growers, processors, and FMCG brands alike.

Keywords: AI-powered, carbon emissions, food industry, sustainability, satellite imagery, machine learning, processors, FMCG brands, biodiversity, emissions baseline.

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