London-based Magentic announced on 17 September 2026 that it has raised an $18 million Series A round to expand its AI digital workers for large industrial companies. Founded by alumni from McKinsey and OpenAI, the company provides AI agents for operations at major manufacturers. The investment was led by Felicis with participation from existing investors Sequoia Capital and The Westly Group and will support the company's effort to build a full AI workforce for global manufacturers.
Industrial Demand Meets AI Automation
The physical world is experiencing a major capital expenditure cycle driven by AI demand, alongside trade disruption and geopolitical challenges. Magentic CEO and co-founder Robin Van Aeken said firms that embed intelligence into every decision will compound their competitive advantage. Procurement workloads have grown about 10 percent year over year against only 1 percent budget growth, while Goldman Sachs projects roughly $8 trillion in AI capital spending between 2026 and 2031.
How Magentic Digital Workers Operate
Magentic's AI digital workers are multi-agent systems that behave like virtual employees working continuously inside large manufacturers. They operate across Microsoft Teams, email, and company systems, taking end-to-end ownership of tasks such as buy or build decisions, supplier selection, contract negotiation, order management, and invoice clearing. These workers are built for massive scale, handling billions of rows of data, tens of billions in spend, and fragmented systems that still rely on Excel and aging ERPs.
Measurable Results Across Direct and Indirect Spend
Magentic supports both indirect and direct procurement, including raw materials where the most complex challenges lie. One customer runs more than one million orders a year through Magentic AI agents, and another has already found $4 million in savings. Across its Global 500 customer base, which includes three of the world's ten largest beverage companies, Magentic typically delivers 2 to 5 percent savings, a 60 percent lift in data quality, and tens of thousands of hours saved.
Investor Perspective on Physical Economy AI
Felicis Partner Feyza Haskaraman described supply chains as the least glamorous yet most consequential part of the economy, determining what gets built. She noted that understanding a manufacturer's complex systems well enough to act inside them is difficult, which is why autonomous AI workers for the physical economy remain rare. Magentic also expects human procurement teams to grow as their value per person rises.
Security and Enterprise Controls
Because enterprises are cautious about AI agents acting inside critical systems, Magentic is designed to meet demanding security requirements. The company offers zero-data-retention agreements with major AI providers, deployment in any cloud environment, and secure isolated deployments in any data region. These controls are intended to make autonomous digital workers acceptable for the world's largest manufacturers.
Roadmap for Autonomous Supply Chains
The new capital will accelerate Magentic's roadmap for AI agents, extend coverage across procurement and supply chain workflows, and deepen long-horizon AI research. CTO and co-founder Odhran O'Donoghue said bringing frontier AI to the physical world requires moving beyond systems with limited context windows. He added that Magentic is building AI that can diagnose problems, plan fixes, take action, and see work through across terabytes of multimodal data at once.
Magentic's Series A round signals growing investor confidence in AI agents that can manage physical world operations at enormous scale. By combining autonomy with strict security measures, the company is positioning itself to help global manufacturers cope with rising workloads and constrained budgets. The next phase will test whether digital workers can consistently deliver savings and efficiency while keeping human teams firmly in command.