Pre-seed funding fuels Lynk’s expansion of AI-driven contract control platform

Rotterdam-based Lynk, a collaborative AI contract workspace
that helps businesses manage and control their agreements, has closed a
pre-seed round led by European AI investor Curiosity VC, with participation
from strategic angel investors.

Lynk is developing a contract intelligence layer integrated
into the contract-control process. The platform automates audit tasks,
identifies potential risks, and flags key actions throughout the contract
lifecycle. It is designed to support faster decision-making, prevent missed
obligations, improve financial outcomes, and reduce manual administrative work
related to contract management.

Lynk is currently used by both enterprises and small
businesses in real estate development and general contracting in the
Netherlands, and its product has been developed in close collaboration with
industry stakeholders to address the complexities of contract management in
these sectors.

Ruben van Gaalen, founder and CEO
of Lynk, explained:

Companies we work with often
manage more than 100,000 pages of active contractual obligations. Until now,
this has been audited manually and tracked in Excel. Itʼs not only extremely
labour-intensive, itʼs also highly error-prone. Our workspace and its AI
capabilities now make it possible to this work reliably and at scale.

AI is expected to significantly change how contract control
is carried out. Over the next five years, the way large organisations audit and
manage contractual obligations is likely to be fundamentally reshaped across
legal, operational, and financial control functions. Manual contract related
tasks are projected to be increasingly handled by AI systems that can also
incorporate a company’s contextual data, allowing professionals to focus more
on higher-value activities.

Lynk will use the funding to accelerate commercial
expansion, support its international rollout, and extend the product into
additional sectors where complex, high-value agreements require improved
control.