Ameba, a London-based artificial intelligence company, announced on Wednesday that it has raised £5.3 million in seed funding to help companies manage and optimize their complex global supply chains. The round was led by Hedosophia, with participation from Visionaries Club, an early-stage European investor that led Ameba’s pre-seed round, and Anamcara.
Ameba’s platform uses AI to provide companies with real-time insights into their supply chains by automating the extraction of data from various sources, including emails, WhatsApp messages, PDFs, and Excel files. By consolidating this information into a single platform, Ameba enables brands to predict disruptions, react to bottlenecks, and gain visibility into their sustainability efforts.
The company was founded by Cedrik Hoffmann, former supply chain director and co-founder of e-commerce company VALOREO, and Craig Massie, a former Palantir engineer who built the data privacy tool for the S&P 500 firm.
According to Ameba, businesses can streamline their operations by reducing manual data input by 30% and addressing critical weaknesses in their supply chains. The company estimates that improving suppliers’ on-time delivery to 100% can cut operational costs by as much as 20%, and reducing supply chain costs by just 4% can double profitability.
Supply chain disruptions can have significant impacts on businesses, with the average company losing 62% of its value due to such issues. Additionally, stock shortages can lead to competitive challenges, as 40% of customers are willing to switch brands to find out-of-stock items.
“Brands today face intense pressure to meet rapid shifts in consumer trends while delivering on expectations for fast, low-cost, and sustainable supply chains,” said Cedrik Hoffmann, co-founder and CEO of Ameba. “With Ameba, we’re turning supply chains from bottlenecks into engines of growth.”
Ameba’s platform aims to transform reactive supply chain processes into proactive solutions by leveraging the team’s deep understanding of the market, its challenges, and the technology needed to address them.
