Parallel, a startup building AI agents for healthcare providers, has raised $3.5 million in Seed funding led by Frst, with participation from Y Combinator, Bpifrance, Kima Ventures, Better Angle and several business angels.

Parallel’s mission is to reduce the administrative burden in hospitals by building vertical AI agents capable of automating time-consuming, repetitive tasks - starting with medical coding. In doing so, the company hopes to give healthcare workers back valuable time to focus on what matters most: patient care.

Tackling admin inefficiencies with generative AI

In healthcare systems around the world, administrative processes are one of the largest sources of inefficiency - accounting for up to 25% of total spending. Much of this cost is driven by repetitive, manual work in non-interoperable systems, compounded by ongoing staff shortages and increasing patient demand.

Despite advances in technology, hospital back-office operations remain stuck in the past: data is siloed, software systems don’t communicate, and basic automation is often impossible. Staff are forced to spend hours navigating between outdated tools, entering data manually, and closing system gaps.

Generative AI is uniquely positioned to solve these challenges. Computer Use Models can navigate complex hospital software without costly integrations, and Large Language Models can automate end to end medical workflows - delivering large and immediate value, even in complex and unstructured environments.

"AI agents can now interact with software like humans - navigating screens, clicking buttons, and entering data efficiently and accurately. In healthcare, where outdated systems and weak APIs have made automation challenging, this technology can finally bridge the gap."

Paul, Co-Founder & CEO at Parallel

This enables hospitals to streamline operations while improving accuracy and freeing up medical staff for more valuable work.

Launching Parallel’s first vertical agent: Medical Coding

Parallel’s first agent focuses on medical coding, a high-impact administrative task that is critical for hospital operations. Today, trained professionals manually convert clinical notes into standardized billing codes - a process that is labor-intensive, error-prone, and increasingly difficult to scale.

Parallel’s AI agent automates this workflow. It reads clinical documentation, identifies the appropriate codes, and inputs them directly into hospital systems. This enables hospitals to streamline operations while improving accuracy and freeing up medical staff for more valuable work.

“Parallel’s approach is excellent. Their AI agent brings a level of auditability and accuracy that simply doesn’t exist today. In just three months, they’ve built a solution that could significantly streamline coding workflows and reduce administrative burden in hospitals.”

Dr. Louis Rousselet, Head of Medical Information at GHICL

Building the future of healthcare

With this funding, Parallel plans to grow its engineering team, accelerate hospital deployments, and lay the foundations for their next generation of agents focused on other pain points in healthcare administration.

“Parallel is tackling one of the most overlooked, yet crucial problems in healthcare -administrative overload. Recent advances in AI enables a step-change in efficiency that was previously out of reach. By working with existing tools rather than replacing them, it also makes adoption much more practical for hospitals.”

Pierre Entremont, Co-founder & Managing Partner at Frst

Parallel is designing agents that can work within real-world hospital environments - adapting to fragmented software stacks and scaling across departments.

By focusing on vertical agents purpose-built for the complexities of healthcare, Parallel aims to make meaningful progress on one of the industry’s most urgent challenges: how to deliver better care with fewer resources.