Nomerra, an AI platform
for private market operations, has raised $2 million in its first funding
round. The round was led by 14Peaks Capital, with participation from Redstone
Fintech and senior individuals from firms including KKR and Intapp.
The investment comes as
private markets are expected to expand significantly over the coming years,
while the operational infrastructure supporting the sector has not kept pace.
Much of the industry’s day-to-day work still relies on emails, PDFs, spreadsheets
and disconnected systems, as firms face increasing pressure to manage growing
operational complexity with a shrinking pool of qualified professionals.
Founded by Johannes Gebendorfer and Jakob Zacherl, Nomerra develops AI software to automate
operational workflows across private markets. Unlike public markets, many
processes remain fragmented, with limited standardisation and interoperability
between systems. The same information is often manually re-entered across
multiple applications, sometimes several times for a single transaction. At the
same time, operations have become more complex due to new investor channels,
more frequent reporting, evolving regulation, semi-liquid fund structures,
evergreen vehicles and expansion into new asset classes.
Nomerra makes these
workflows AI-native, starting with fund accounting, treasury and transfer
agency. By integrating with firms’ existing systems, its AI agents can access,
validate and process data while following each firm’s operating procedures.
Today, the idea that
humans once routed every phone call manually seems absurd. Private market
operations are approaching a similar turning point. In a few years, people will
look back and wonder how this work was ever done by hand,
said Johannes
Gebendorfer, co-founder and CEO of Nomerra.
Rather than replacing
operational teams, Nomerra is designed to shift employees from preparing
deliverables to reviewing them. AI agents execute workflows end-to-end before
presenting outputs through review interfaces with a complete audit trail
showing what was done, why each action was taken and where the underlying data
originated.
The company will use the
funding to expand its engineering team and accelerate product development to
meet growing demand from asset servicers and asset managers across Europe and
the United States.