Nomerra Raises $2M to Prevent Private Markets’ Next Paperwork Crisis

In the late 1960s, Wall Street ran into a problem that sounds almost absurd today: the market was growing faster than its paperwork could be processed. Trading volumes surged, physical certificates piled up, and the New York Stock Exchange eventually closed on Wednesdays for months so firms could catch up. The episode became known as the Paperwork Crisis.

Private markets are not facing the same crisis in the same way. There are no messengers running stock certificates through lower Manhattan. But the underlying pattern is familiar: capital markets activity is expanding faster than the operational infrastructure underneath it.

Berlin-based Nomerra has raised $2 million to address that gap, with a platform designed to automate the manual workflows that still sit behind fund accounting, treasury, transfer agency, and other private market operations. The pre-seed round was led by 14Peaks Capital, with participation from Redstone Fintech and individuals from firms including KKR and Intapp.

Why Private Markets Are Becoming an Operational Bottleneck

Private markets have become a much larger and more complex part of global finance. Nomerra points to the sector growing from roughly $13 trillion toward more than $30 trillion over the next five years, while much of the day-to-day work remains dependent on emails, PDFs, spreadsheets, portals, and disconnected systems.

That matters because private markets do not have the same standardized infrastructure that exists across public markets. Fund structures vary. Investor reporting requirements are more frequent. Regulatory expectations are rising. New products such as evergreen and semi-liquid funds add additional layers of operational complexity.

The practical result is that the same information often gets entered, checked, moved, and reconciled across multiple systems by hand. It is necessary work, but it is also the kind of work that becomes harder to scale as private market assets grow.

Built by Founders Who Lived the Problem

Nomerra was founded by Johannes Gebendorfer and Jakob Zacherl, who were both early employees at bunch, a tech-enabled fund administrator that has raised more than $50 million. At bunch, they helped scale the team to more than 100 people and expand across Europe, giving them direct exposure to the operational pain points that Nomerra is now trying to solve.

That background is important. Private market operations are not generic office workflows. They involve sensitive financial data, firm-specific procedures, audit requirements, and a high cost of error. This is not simply a matter of adding a chatbot on top of a spreadsheet. The challenge is getting AI to work inside the messy, fragmented environment where asset servicers and asset managers already operate.

How Nomerra’s AI Agents Work

Nomerra describes its product as an “AI Coworker” for private market operations. Rather than asking firms to replace their existing infrastructure, the platform is designed to sit alongside systems already in use, including ERPs, banking systems, email, file storage, and other operational tools.

The product focuses on three broad layers of work. First, it captures documents and data from sources such as emails, portals, bank feeds, and file storage. Second, it reconciles information by matching documents to transactions, extracting relevant data, and flagging discrepancies. Third, it prepares outputs such as journal entries, master data updates, and reporting packages for review and sign-off.

The goal is not to remove humans from the process entirely, at least not at the outset. Instead, Nomerra is trying to shift operations teams from preparing deliverables manually to reviewing work prepared by AI agents. In high-stakes financial operations, that distinction matters. The more credible near-term opportunity is not full autonomy at any cost, but structured automation with traceability, controls, and clear escalation when something does not match expectations.

Why Context and Audit Trails Matter

Nomerra’s platform is built around a context layer that gives agents access to the same information a human operator would typically need. From there, agents follow a firm’s standard operating procedures, extract data, cross-check it across sources, and produce work in the format the firm already expects.

This is where the company’s positioning becomes more specific than the broader “AI agents for finance” category. On its website, Nomerra describes an agent harness that turns general-purpose models into private market specialists, with workflows grounded in firm-specific procedures. It also says the platform is model-agnostic, allowing tasks to be routed across different models based on speed, accuracy, and efficiency.

For asset servicers and managers, the audit trail may be as important as the automation itself. Nomerra says its agents show what was done, why it was done, and where the data came from. In a sector where client trust, compliance, and record-keeping are central, automation that cannot explain itself is unlikely to be enough.

A Glimpse Into the Future of Private Market Infrastructure

The rise of private markets has often been discussed through the lens of capital formation, investor access, and new fund structures. But as the sector grows, the next major shift may happen deeper in the operating layer, where documents are processed, transactions are reconciled, reports are prepared, and records are maintained.

This is where AI-native operations could have an outsized impact. Instead of relying on larger teams to manually move information between emails, PDFs, spreadsheets, banking systems, and accounting platforms, firms may increasingly depend on specialized AI agents that can understand procedures, verify data across sources, and prepare work for human review.

Over time, this could change how private market firms scale. Growth would no longer be tied as tightly to headcount, and operations teams could spend less time preparing deliverables and more time supervising exceptions, improving controls, and supporting higher-value client work.

The broader implication is that private markets may be entering a period where operational infrastructure becomes a competitive advantage. As capital continues flowing into more complex fund structures, the firms that can combine automation with auditability, accuracy, and trust may be better positioned to handle the next phase of private market growth.