Berlin-based AI startup GeneralMind has raised €10.2 million in equity funding to build what it calls System of Action, an operational AI layer designed to sit on top of enterprise resource planning systems. The company is positioning the product as an infrastructure rather than an assistant.
The funding was led by Lakestar, Leo Capital, Lucid Capital, Heliad, and BOOOM, along with angel investors Alexander Kudlich, Jens Urbaniak, and Samir Sood.
The round closed less than six months after GeneralMind began operations. The company says this ranks as the largest European pre-seed round to go public in recent years, reflecting early investors’ appetite for automation beyond co-pilots and dashboards.
Founder and CEO Tushar Ahluwalia said large organizations understand where operational bottlenecks occur, but are often unable to translate that knowledge into action.
Based on his experience in e-commerce, he identified email threads, spreadsheets, manual workarounds, and piecemeal coordination between inboxes and ERP systems as persistent sources of inefficiency.
GeneralMind’s approach directly targets these gaps. Its AI executes workflows end-to-end, with human oversight and approval as needed.
Ahluwalia explained that the system is an autopilot, not a co-pilot, and is designed to run a process rather than suggest next steps.
Founded in 2025 by a team from Razor Group, GeneralMind is building an autonomous AI layer that aims to replace what it describes as the human glue that holds enterprise operations together.
While most companies rely on traditional systems of record like ERP, employees use email and spreadsheets to bridge exceptions, handoffs, and special cases.
The company’s behavioral system is built to take over that layer. Its AI Autopilot handles repetitive workflows across email, Excel, and enterprise software without manual intervention.
The product targets medium and large enterprises and will initially focus on industrial, commercial and logistics in Europe and the rest of the world.
Tasks typically arrive through unstructured channels such as email. GeneralMind’s systems ingest them, analyze requirements, and execute workflows across connected systems.
This design is suitable for environments with a large number of small tasks, strict deadlines, compliance periods, and multiple internal and external stakeholders.
Use cases span sales operations, procurement, and invoice processing, but reconciliation friction and manual follow-up slow execution.
Analysts at Beinsure say demand in this category reflects growing fatigue with surface-level AI tools that fall short of actual operational management.
