/PRNewswire/ SWARM Engineering, a leader in food supply chain optimization, today announced its availability in the Microsoft Azure Marketplace, an online.
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SWARM Engineering Snags $2.7M For Food Supply Software
SWARM Engineering, a new startup which is focused on developing supply and demand forecasting software for the food supply chain, has raised $2.7M in its seed funding round. The funding was led by S2G Ventures, and also included Serra Ventures via their new AgTech fund, Harvard Business School Alumni, Wells Street Capital, VTC Seed Fund, and Rinvest, along with angel investor Soren Schroder (Bunge). According to the company, it is developing Software-as-a-Service (SaaS) specifically for solving complex problems such as supply & demand forecasting, optimizing inbound and outbound logistics, or maximizing yield in controlled environment agriculture. Anthony Howcroft is CEO and founder of SWARM Engineering.
Swarm Engineering, Inc., an Irvine, Calif.-based provider of a cognitive software for the food supply chain, raised $2.7m in seed funding.
The round was led by S2G Ventures, with participation from Serra Ventures via their new AgTech fund, Harvard Business School Alumni, Wells Street Capital, VTC Seed Fund, and Rinvest, and angel investor and former CEO of Bunge, Soren Schroder.
The company intends to use the capital for continued technological innovation and team growth.
Led by Anthony Howcroft, CEO and founder, Swarm Engineering is a Software-as-a-Service (SaaS) platform specifically for the food supply chain, solving complex problems such as supply & demand forecasting, optimizing inbound and outbound logistics, or maximizing yield in controlled environment agriculture.
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IRVINE, Calif., April 15, 2021 /PRNewswire/ SWARM Engineering, Inc, the next generation of cognitive software for the food supply chain, announced today it has closed funding for a $2.7 million seed round.
SWARM Engineering is a Software-as-a-Service (SaaS) platform specifically for the food supply chain, rapidly solving complex problems such as supply & demand forecasting, optimizing inbound and outbound logistics, or maximizing yield in controlled environment agriculture. SWARM is a no-code solution, so end users do not need data science expertise, knowledge of machine learning, or a degree in math to use the software. Business users simply define their problem, and SWARM matches their definition with a curated library of algorithms (which can be added to by customers or 3