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Munich AI startup Marble Cognition raises $3.75M for agentic coworkers

German AI startup Marble Cognition has raised $3.75M in pre-seed funding to scale its platform that learns how teams work by observation, then deploys AI coworkers to automate manual processes. The funding round was co-led by Heartcore Capital and Seedcamp. The company plans to use the capital to grow its Munich team and launch in the US.

team working with ai startup
Ai generated : Nano Banana

The short version

  • Marble Cognition raised $3.75M in pre-seed funding co-led by Heartcore Capital and Seedcamp to scale its AI platform.
  • The platform observes how teams work in business applications, then deploys AI coworkers to automate processes end to end without requiring formal documentation.
  • Angel investors include a board member of Datadog, a founder of Personio, and executives from McKinsey, Mistral AI and Lovable.
  • In one deployment, a Marble coworker reduced case handling time by 90% and helped a team handle 50% more cases in its first month.
  • Around 90 per cent of core business processes at Marble's customer companies are not formally documented, creating demand for process-discovery automation.

Why it matters: Process discovery, not just process automation, is becoming the next bottleneck in enterprise AI deployment.

On this page
  1. The short version
  2. Deployment results
  3. The market gap
  4. Sources and further reading
  5. Frequently asked questions

German AI startup Marble Cognition has raised $3.75M in pre-seed funding to scale its platform that learns how teams work by observation, then deploys AI coworkers to automate manual processes without requiring formal documentation.

The round was co-led by Heartcore Capital and Seedcamp. Among the angel investors were a Datadog board member, Personio’s founder and executives at McKinsey, Mistral AI and Lovable.

Based in Munich, Marble Cognition was founded in late 2025. The company will use the new funding to scale inference, grow its engineering team in Munich and launch in the US.

Felix Rösner, co-founder and CEO, said: "Every company we talk to wants AI to take over real work. But nobody can tell the AI how that work is actually done."

Marble’s platform tracks team workflows and turns them into structured maps AI can interpret. It then builds AI coworkers to carry out each process from start to finish, using the tools teams already have. Rösner said: "Our 'coworkers' watch how the work happens before they take it over."

What we know

  • Rösner previously worked at AI sales-agent company 11x.
  • Co-founder Christophe Schmit is a former MIT researcher who previously worked at Enam.
  • Rösner and Schmit met at Munich's Center for Digital Technology and Management.

Still unclear

  • The specific identities of the tech unicorns, private equity-backed firms, and the high-performing US financial services company mentioned in their metrics remain confidential.
  • It is not yet known how Marble structures its business model whether it plans to charge per "AI coworker" deployed, via a standard SaaS seat license, or based on volume usage.

Reshma Sohoni, general partner at Seedcamp, said: "Most companies want to automate more, but the hard part has always been mapping out how the work gets done. Marble fills that gap, giving companies vital context for AI transformations that could define their future."

Among Marble’s customers are EGYM, Mutares and Enam, as well as tech unicorns, private equity-backed companies and AI roll-ups. The company says its platform leaves people involved in decisions that require judgement.

Deployment results

At an unnamed US financial-services company owned by private equity, one coworker cut handling time per case by 90% and enabled the team to process 50% more cases in its first month, with no additional hires, Marble said. The coworker learns the workflow by watching the team, then prepares settlement offers for a specialist to approve.

  • 90%Reduction in case handling time
  • 50%More cases handled
  • 90%Core processes lacking formal documentation at Marble's customers

The market gap

About 90 per cent of the core business processes at companies it works with lack formal documentation, Marble said. In the US, automation could theoretically cover approximately 57 per cent of working hours using technology already available, McKinsey estimates.

Max Niederhofer, partner at Heartcore, said: "Marble learns a whole company's processes, anonymises the data, derives SOPs and deploys agentic AI against them."

Sources and further reading

  1. German agentic AI start-up Marble Cognition raises $3.75m (opens in a new tab) Siliconrepublic
  2. Marble Cognition Raises $3.75M Pre-Seed to Build AI Coworkers That Learn by Observing (opens in a new tab) Unite
  3. Marble raises $3.75M to build AI coworkers that learn by watching (opens in a new tab) Tech.eu

This article was prepared by the GlobePrism editorial team from the public reporting linked above. How we report

Frequently asked questions

How much did Marble Cognition raise?

Marble Cognition raised $3.75M in pre-seed funding. The round was co-led by Heartcore Capital and Seedcamp.

Who are the founders of Marble Cognition?

Felix Rösner is co-founder and CEO. Christophe Schmit is co-founder and CTO. Rösner previously worked at AI sales-agent company 11x. Schmit is a former MIT researcher who previously worked at Enam. They met at Munich's Center for Digital Technology and Management and founded the company in late 2025.

How does Marble's platform work?

Marble's platform observes how teams work in business applications, turning processes into structured maps that AI can read. It then deploys agentic coworkers that run each process end to end in the tools teams already use. The platform records screen activity, clicks and keystrokes in business apps only, never in private apps or outside working hours. Employees can pause recording at any time, and all data is anonymised before analysis.

Why is Marble's approach different from other automation tools?

Around 90 per cent of core business processes at Marble's customer companies are not formally documented, making traditional automation difficult. Marble's platform discovers and maps processes through observation rather than requiring companies to document workflows first, filling a gap that process-automation tools alone cannot address.