BX Technologies Limited, a London-based AI-powered climate tech company that is enabling the decarbonization of the food and drink supply chain, closed a late seed funding round totaling £1.59 million from existing and new investors.
The capital raised is a combination of follow-on investments from existing investors, including a carbon removal venture capital firm; Counteract, and the introduction of two US investors.
BX's technology uses AI to unlock primary farm data and provide crop and field-specific decarbonizing insights, enabling retailers and brands to hit their 2030, 2035, and 2040 carbon targets.
CEO of BX Technologies Ltd., Ben Bardsley states; "I am delighted to announce the success of this key milestone. The strength of our proposition and our position in the climate tech industry has unlocked this capital raise in a very difficult investment market. Our momentum is steadily building with early adopters across the globe recognising their crucial position within this sector."
The company is revolutionizing the food and drink supply chain by equipping retailers and consumers with knowledge of how food is grown and its environmental impact. With BX's end-to-end environmental credentials and 'BX Score' metric, consumers can make conscious purchasing decisions through verified on-pack labeling.
Company: BX Technologies Limited
Round: Late Seed Round
Funding Month: April 2023
Additional Investors: Counteract
Company Website: https://bx.tech/
Software Category: Food and Drink Supply Chain Solutions
About the Company: BX Technologies Limited is a climate tech company that provides AI-powered solutions to enable the decarbonization of the food and drink supply chain. The company's technology unlocks primary farm data and uses intuitive AI to provide crop- and field-specific decarbonizing insights to farmers, enabling retailers and brands to build a planet-positive supply chain to achieve their carbon targets. Its technology will help measure climate impact, suggest data-backed improvements to practices, and predict future impact at the field level.