OneDose, a healthcare technology startup building an AI-driven platform for emergency medical services (EMS), has raised a new seed funding round led by M25 with participation from CoFound Partners, as it works to modernize pre-hospital clinical decision-making and unify fragmented EMS workflows into a single digital system.

The funding was announced in early 2026 and supports OneDose’s mission to digitize the “first mile of care,” where paramedics and emergency responders often make critical treatment decisions under time pressure with limited access to structured clinical data. The company is positioning itself as an AI-powered operating system for EMS, combining clinical decision support software with integrated hardware tools designed to improve accuracy in emergency care delivery.

OneDose’s platform focuses on standardizing bedside protocols, capturing real-time patient data, and enabling consistent treatment decisions across emergency medical teams. Alongside its software system, the company has developed OneWeight, a stretcher-integrated measurement device designed to provide precise patient weight data in high-stress environments, replacing estimation methods that can lead to dosing errors.

The funding round led by M25 reflects growing investor interest in healthcare infrastructure software, particularly tools that improve data quality and clinical outcomes in emergency settings. M25 has described OneDose as a potential “system of record for pre-hospital care,” emphasizing its ambition to consolidate EMS workflows into a unified digital environment that spans dispatch, field treatment, and hospital handoff.

Participation from CoFound Partners further strengthens OneDose’s early investor base, bringing additional support for scaling operations and expanding deployments across emergency medical networks. The company’s investors see strong potential in its ability to replace legacy paper-based protocols and fragmented digital systems with an integrated, AI-assisted workflow tailored for paramedics and first responders.

According to publicly available investor commentary and company materials, OneDose has already achieved adoption across thousands of EMS agencies and continues to expand its footprint across multiple U.S. states. The platform is designed to support real-time clinical decision-making, improve documentation accuracy, and reduce variability in emergency treatment outcomes.

A key element of OneDose’s strategy is its integration of voice-enabled and AI-assisted workflows, which aim to reduce cognitive load on emergency personnel during critical incidents. The company is also developing real-time quality management features that allow EMS administrators to review performance data, identify gaps in care delivery, and improve protocol adherence across teams.

The company’s leadership team includes technical founders with backgrounds in engineering and healthcare systems design, and it has built a network of advisors from the emergency medicine and public safety sectors. This combination of domain expertise and technical execution has been highlighted by investors as a key factor in its early traction within a highly regulated and operationally complex industry.

OneDose’s broader vision is to become the foundational software layer for EMS systems globally, enabling seamless data flow from the point of emergency response through hospital intake. The company believes that digitizing pre-hospital care will not only improve clinical outcomes but also reduce inefficiencies and administrative burdens that currently affect emergency healthcare systems.

With backing from M25 and CoFound Partners, OneDose is now focused on accelerating product development, expanding enterprise deployments with large municipal fire and EMS departments, and enhancing its AI capabilities to support real-time decision-making in high-pressure environments.

As the EMS sector continues to modernize, OneDose is positioning itself at the center of a broader transformation in emergency healthcare infrastructure, where data-driven tools, automation, and AI-assisted protocols are expected to redefine how frontline care is delivered.

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