Paris-based Parallel, a startup developing AI agents for
hospitals, has raised $20 million in a Series A round led by Index Ventures,
with participation from Frst, Y Combinator, Hexa, and several angel investors.
The funding follows a $3.5 million seed round less than a year earlier, with
the company’s technology already deployed across multiple public and private
hospitals.

Hospitals continue to rely on complex administrative
workflows spread across legacy systems, requiring staff to manually navigate
software, input data, and complete repetitive tasks across areas such as
coding, billing, and admissions. These processes consume significant resources
and reduce the time available for patient care.

Parallel addresses this challenge with AI agents that
operate directly within existing hospital software. Rather than requiring deep
integrations or system replacements, the platform functions as an AI layer that
learns to use software similarly to a human, enabling deployment in a matter of
weeks.

Because our technology runs on top of legacy systems rather
than requiring deep integration, our agents can automate a wide range of
administrative tasks in healthcare. That means less time and resources spent on
cumbersome, manual processes,

said Paul Lafforgue, co-founder and CEO of
Parallel.

The company’s initial focus is medical coding, a key
workflow that translates clinical data into standardised codes for
reimbursement and reporting. By improving accuracy and optimisation, Parallel
aims to help hospitals capture appropriate revenue. The company plans to expand
its AI agents into additional administrative functions, including billing and
admissions.

With administrative costs accounting for a significant share
of healthcare spending and demand for care increasing, Parallel is positioning
its technology as a way to improve efficiency in resource-constrained systems.

The new funding will support the expansion of Parallel’s
coding solutions, international growth, and the development of additional AI
agents to automate hospital workflows, alongside team expansion.