Magentic Raises $18M for AI Agents That Run Procurement

Magentic, a London-based startup building AI agents for industrial procurement and supply chain operations, raised $18 million in Series A funding led by Felicis, with participation from existing investors Sequoia Capital and The Westly Group, bringing the company's total funding to $23.5 million in just 14 months since launch, according to Tech.eu's reporting on the round.

Magentic's founding story carries a genuinely notable, long-arc origin. Co-founders Robin Van Aeken and Odhran O'Donoghue first met while both winning hackathons at Oxford, then reconnected seven years later, according to Tech Funding News's reporting on the company's history. Van Aeken previously worked as a supply-chain consultant at McKinsey, while O'Donoghue holds a machine-learning PhD with prior experience at OpenAI, NASA, and the Crick Institute, giving the founding team a genuinely distinctive combination of deep industrial domain expertise and frontier AI research background.

Magentic's digital workers, called Mages, are multi-agent systems that operate through tools employees already use, including Microsoft Teams and email, functioning more like a member of the team than typical enterprise software, according to The Next Web's reporting. Mages can manage procurement workflows end to end: deciding whether to buy or build, selecting suppliers, negotiating contracts, placing orders, and processing invoices, though humans still approve important decisions rather than the agents acting with full autonomy.

Magentic's Series A at a Glance

Magentic's technology is deliberately designed to handle a scale and complexity most enterprise software struggles with. The company built its agents to operate across billions of rows of data, tens of billions of dollars in spend, and decades-old fragmented systems still held together by Excel spreadsheets and aging ERP platforms, according to PR Newswire's own announcement of the round. Magentic supports both indirect procurement and direct spend on raw materials used in actual manufacturing, which the company describes as the hardest, most complex and valuable part of the challenge, since direct materials spend directly affects a manufacturer's core production process, not just back-office operations.

Magentic's growth claims are backed by genuinely concrete, named outcomes rather than vague productivity language. One customer now runs more than a million orders a year through Magentic's AI agents, while another has already identified $4 million in savings the company's own human teams had previously overlooked, according to The Next Web's reporting. Across Magentic's broader customer base, which includes Global 500 companies and three of the world's ten largest beverage producers, typical savings range from 2% to 5%, alongside a 60% improvement in data quality.

Magentic CEO Robin Van Aeken framed the investment around a specific, time-sensitive competitive window he sees opening right now. "The physical world is dealing with the biggest capex cycle in history, driven by AI demand, during a time of trade disruption and geopolitical challenges," Van Aeken said. "The companies that build the best intelligence into every decision they make will be the ones that compound their competitive advantage." That framing connects directly to the broader physical AI investment surge we've tracked closely this month, including Vention's own physical AI lab launch betting against the foundation model race entirely and Exein's $270 million raise building cybersecurity specifically for physical AI systems.

Magentic's platform includes specific security controls designed for enterprise deployment, including zero-data-retention agreements with major AI providers, according to Tech.eu's reporting, a design choice worth understanding given the sensitivity of the procurement and supply chain data these agents handle across some of the world's largest manufacturers.

Magentic's raise is worth understanding for any manufacturer or industrial company evaluating AI agents for procurement and supply chain operations, since the company's disclosed results, real cost savings, processed order volume, and data quality improvements across named Global 500 customers, offer a genuinely useful benchmark for what measurable ROI from AI-driven procurement automation should actually look like.

For businesses in industrial and manufacturing technology more broadly, Magentic's specific focus on direct materials spend, the harder, higher-stakes category most competitors avoid in favor of simpler indirect procurement automation, is worth watching as a signal of where genuine competitive differentiation is emerging in this category.

What does Magentic's AI platform actually do?
Magentic builds AI agents called Mages that automate procurement and supply chain workflows for large manufacturers end to end, including supplier selection, contract negotiation, order placement, and invoice processing, operating through tools like Microsoft Teams and email.

How much funding has Magentic raised?
Magentic raised $18 million in Series A funding led by Felicis, bringing its total funding to $23.5 million across roughly 14 months since the company launched in July 2025.

What real results have Magentic's customers reported?
One customer now processes more than a million orders annually through Magentic's AI agents, another identified $4 million in previously overlooked savings, and across its broader customer base typical savings range from 2% to 5% alongside a 60% improvement in data quality.

Magentic raised $18 million in Series A funding led by Felicis to expand its AI agent platform automating procurement and supply chain operations for large manufacturers, bringing total funding to $23.5 million since launching 14 months ago. The company's agents, called Mages, manage workflows end to end across billions of data rows and fragmented legacy systems, with one customer now processing more than a million orders annually and another identifying $4 million in previously overlooked savings. Founded by former McKinsey consultant Robin Van Aeken and ex-OpenAI machine learning researcher Odhran O'Donoghue, Magentic is specifically targeting direct materials procurement, the harder, higher-stakes segment of manufacturing spend most competitors in this space have avoided.