Berlin-based
GeneralMind, an AI-based system focused on automating operational and
coordination tasks in supply-chain environments, has closed a $12 million
equity financing round. The round was led by Lakestar, Leo Capital, LucidCapital, Heliad, and BOOOM, with additional participation from angel investors
including Alexander Kudlich, Jens Urbaniak, and Samir Sood.
Many
enterprises continue to rely on legacy systems of record, such as ERP
platforms, to manage transactions and data. However, operational execution is
often handled manually, with teams coordinating work across email,
spreadsheets, and other disconnected tools to manage exceptions and handovers
within supply chains.
While these
systems reliably store information, they typically do not support task
execution or the unstructured coordination required between functions such as
procurement, logistics, finance, and external partners. As a result, email
frequently functions as an informal task management layer, leading to manual
processes, limited visibility, and higher error rates.
GeneralMind is
addressing this gap by developing an AI-based system of action for operational
execution. Its AI Autopilot is designed to automate repetitive work at
supply-chain handover points by executing workflows across email, spreadsheets,
and ERP systems.
Tasks, often
initiated through email, are captured, interpreted, and carried through to
completion. This approach is intended for environments with high volumes of
recurring tasks, strict deadlines or compliance requirements, and multiple
internal and external stakeholders, such as sales operations, procurement, and
invoice processing.
Inefficiencies
resulting from fragmented, inbox-driven workflows can lead to delays, missed
actions, and reduced operational performance across supply chains.
Commenting
on this challenge, Tushar Ahluwalia, founder and CEO of GeneralMind, said that
while organisations are often aware of where operational issues arise, they
frequently struggle to translate that understanding into effective execution.
Drawing on his
experience in e-commerce, Ahluwalia added that manual, email- and
spreadsheet-based processes and complex coordination between unstructured
communication and ERP systems create significant inefficiencies in large
organisations, noting that GeneralMind is designed to run these processes end
to end through a human-supervised AI autopilot rather than acting as a
productivity copilot.
The funding was completed within the company’s first
months of operation and will be used to support the scaling of GeneralMind’s
technology across Europe.