Marble Cognition raises $3.75M pre-seed for AI coworker US push

Marble Cognition raised $3.75 million in pre-seed funding to build AI coworkers that learn by watching employees work. The round was co-led by Heartcore and Seedcamp, with participation from angel investors including a Datadog board member, a Personio founder, and executives from McKinsey, Mistral AI, and Lovable. The capital will scale the startup's inference capabilities, expand its engineering team in Munich, and support its launch in the US market.

Marble develops AI-powered technology to help companies identify, understand, and automate internal business processes. The company reports that among its client companies, around 90 per cent of core business processes are not formally documented. Heartcore partner Max Niederhofer noted that the scarce input for automation is a precise work record, not AI models.

Product and Customer Validation

The platform uses a desktop application to observe workflows via screen activity, clicks, and keystrokes, anonymizing data and analyzing it in aggregate. This turns observed work processes into systems AI can read. Marble Coworkers are AI agents that then execute these business processes from beginning to end using existing organizational tools, while allowing human involvement in judgment or approval tasks.

Founder Felix Rösner explained the approach. "Our Coworkers watch how the work happens before they take it over. They do it the way your best people do," he said. The application does not monitor private applications, private browser tabs, or activity outside working hours, and employees can pause monitoring at any time. Marble's technology has been deployed at EGYM, Mutares, Enam, and other technology companies and private equity-backed businesses.

Competitive Landscape and Challenges

Marble handles a competitive field. Rösner identifies three competitor types: consultancies doing manual process mapping, vertical AI companies sending engineers, and software companies doing process mapping. Recent funding in the broader space shows the activity.

For Marble, team building is the top priority for the new funding, followed by speed. The company states that change management is the trickiest part of the process due to employee monitoring concerns. This aligns with a broader context; McKinsey states existing technology could theoretically automate approximately 57 per cent of working hours in the US.

The company's ambition is to split its future customer base evenly between the US and Europe as it scales.