Summary
Source: Tech.eu Read the original article
What this means for you
The article describes a $3.75 million pre-seed funding round for Marble, an AI startup building "Marble Coworkers" that aim to execute business processes by first analysing how employees carry out their tasks. For readers working at or applying to US companies, the practical issue is workplace automation: the article cites McKinsey saying existing technology could theoretically automate approximately 57 per cent of working hours in the US, while Marble reports that around 90 per cent of core business processes at the companies it works with are not formally documented. The platform uses a desktop application to observe workflows across business applications, including screen activity, clicks and keystrokes; Marble says information is anonymised before being accessed by employees or AI models, analysed in aggregate rather than at an individual level, and that the application does not monitor private applications, private browser tabs or activity outside working hours, with employees able to pause monitoring at any time. Marble reports that its technology has already been deployed at several organisations, including EGYM, Mutares and Enam, so readers may encounter questions about how tasks are documented and how such monitoring is explained if their employer uses similar tools, though the article does not state which US employers or roles would be affected.
AI startup Marble Cognition (Marble) has raised $3.75 million in a pre-seed funding round co-led
by Heartcore and Seedcamp, with participation from angel investors including a
board member of Datadog, a founder of Personio, and executives from McKinsey,
Mistral AI and Lovable.
Founded in late
2025 by Felix Rösner and Christophe Schmit, Marble develops AI-powered
technology designed to help companies identify, understand and automate their
internal business processes.
As AI technology
advances, companies have increasing opportunities to automate operational
tasks. However, many business processes remain undocumented, with essential
information distributed across emails, spreadsheets and employees' knowledge.
This makes it difficult for organisations to identify which activities can be
automated and how AI systems should perform them.
According to
McKinsey, existing technology could theoretically automate approximately 57 per
cent of working hours in the US. Marble reports that, among the companies it
works with, around 90 per cent of core business processes are not formally
documented, creating challenges for implementing AI-driven automation.
Marble aims to
address this problem by analysing how employees carry out their daily tasks and
converting these activities into structured process maps that AI systems can
interpret.
Based on this information, the platform develops AI agents, known as
Marble Coworkers, that can execute business processes using the tools already
available within an organisation, while allowing human involvement in tasks
requiring judgement or approval.
Every company
we talk to wants AI to take over real work. But nobody can tell the AI how that
work is actually done. So we solve that first. Our Coworkers watch how the work
happens before they take it over. They do it the way your best people do,
said Felix Rösner, co-founder of Marble.
The platform uses a
desktop application to observe workflows across business applications,
including screen activity, clicks and keystrokes. According to Marble,
information is anonymised before being accessed by employees or AI models, and
data is analysed in aggregate rather than at an individual level. The
application does not monitor private applications, private browser tabs or
activity outside working hours, and employees can pause monitoring at any time.
Marble reports that
its technology has already been deployed at several organisations, including
EGYM, Mutares and Enam, as well as other technology companies and private
equity-backed businesses.
The new funding
will be used to scale Marble's inference capabilities, expand its engineering
team in Munich and support its launch in the US market.
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Source: Tech.eu
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In your workplace, are core processes mostly written down, or mostly in emails, spreadsheets and people’s heads? How would you feel about a tool that observes screen activity, clicks and keystrokes during work hours and can be paused?
