Berlin-based startup GeneralMind has successfully closed a $12 million pre-seed funding round just months after its inception, marking one of Europe's largest recent financings at this stage. The company aims to address critical inefficiencies in enterprise supply chains by automating the manual, often invisible, work that connects legacy systems. Led by prominent investors including Lakestar and Leo Capital, the investment will fuel the company's expansion across Europe.
The Challenge of Fragmented Workflows
Many large organizations depend on robust systems of record, like ERP platforms, to manage data and log transactions effectively. However, the actual execution of operational tasks often falls to manual processes coordinated through disconnected tools. Teams frequently rely on email and spreadsheets to manage exceptions and handovers between departments such as procurement, logistics, and finance.
This fragmentation turns the corporate inbox into an unofficial and inefficient task management system. The result is a lack of traceability, a high potential for human error, and costly delays as critical actions get lost in the noise. These fragmented, inbox-driven workflows quietly drain billions in value from global supply chains by stalling decisions while goods and money sit idle.
Introducing an AI Autopilot for Operations
GeneralMind is addressing this gap with what it calls an AI System of Action, designed specifically for operational execution. At the heart of its platform is an AI Autopilot that autonomously handles repetitive, white-collar tasks from start to finish. The system is engineered not merely to store information but to actively perform the work required to keep supply chains moving.
The technology captures and interprets incoming requests, often initiated via email, and executes the necessary workflows across different platforms. It seamlessly interacts with email, spreadsheets, and existing ERP systems to ensure tasks are completed accurately and on time. This approach is particularly effective for high-volume processes like sales operations, procurement, and invoice processing that involve multiple stakeholders and strict deadlines.
A Vision Beyond Assistance
Founder and CEO Tushar Ahluwalia, drawing on his experience in e-commerce, highlights a crucial distinction in the company's strategy. He explains that GeneralMind provides an AI autopilot, not a copilot, meaning it is designed to run processes end-to-end with human supervision rather than simply assisting a user. This model directly targets the inefficiencies born from coordinating unstructured communication with structured enterprise systems.
The company's goal is to replace unreliable, manual workarounds with an intelligent, autonomous execution layer built on top of existing infrastructure. By doing so, GeneralMind aims to modernize how work gets done within large organizations. This focus on autonomous action promises to bring a new level of reliability and performance to complex operational environments.
Strategic Backing and Future Ambitions
The substantial pre-seed funding was secured within the company’s first few months, signaling strong market confidence in its vision. The round attracted a syndicate of notable European investors, including Lakestar, Leo Capital, Lucid Capital, Heliad, and BOOOM. This capital will be instrumental in scaling GeneralMind’s technology and accelerating its expansion into key European markets.
GeneralMind's founding team brings deep operational expertise, having previously built Razor Group. Headquartered in Berlin with a second site in Bangalore, the company is focused on serving mid-sized and large enterprises across industry, commerce, and logistics. Their experienced leadership is poised to drive the adoption of this new category of operational AI.
With its significant early-stage funding and a clear vision, GeneralMind is positioned to make a substantial impact on enterprise operations. By developing an AI autopilot to automate the complex, manual tasks that hinder supply chain performance, the company offers a tangible solution to a persistent business challenge. Its progress will be closely watched as it aims to unlock new levels of efficiency for businesses across the continent.