Everi Labs, the Stockholm- and San Francisco-based HealthTech startup formerly known as Luderi Technologies, has raised an undisclosed funding round backed by node.vc, Norrsken Evolve, Inception Fund, and several additional investors.
The fresh capital will support the company’s mission to reduce one of healthcare’s most persistent pain points: the administrative burden faced by prosthetic and durable medical equipment (DME) providers.
Bringing AI to Clinical Documentation
Healthcare professionals spend a significant portion of their time on documentation, insurance requirements, and compliance rather than direct patient care. This challenge is particularly acute in prosthetic and orthotic clinics, where reimbursement processes require extensive documentation to satisfy regulatory and insurance standards.
Everi Labs is developing an AI-powered platform that automates clinical documentation, streamlines compliance workflows, and helps providers generate accurate records more efficiently.
By reducing paperwork, the company aims to allow clinicians to focus on what matters most—treating patients.
Addressing a Highly Specialized Market
Unlike many AI healthcare startups targeting hospitals or general practitioners, Everi Labs focuses on a specialized but essential segment of healthcare: providers of prosthetics, orthotics, and durable medical equipment (DME).
These clinics operate in a highly regulated environment where reimbursement depends on detailed documentation that demonstrates medical necessity and compliance with payer requirements.
Manual processes often consume hours of administrative work for every patient, creating inefficiencies that slow both patient care and business operations.
Everi Labs applies artificial intelligence to automate these workflows while maintaining the accuracy required for healthcare compliance.
AI as a Clinical Assistant
Rather than replacing healthcare professionals, Everi Labs positions AI as a documentation assistant.
Its technology helps clinicians capture patient information, generate structured documentation, and support regulatory compliance without disrupting existing clinical workflows.
As healthcare providers increasingly adopt AI tools, administrative automation has emerged as one of the most practical and immediately valuable applications of artificial intelligence.
Backed by Leading Early-Stage Investors
The company’s funding round attracted support from several notable early-stage investors, including node.vc, Norrsken Evolve, and Inception Fund.
The investment reflects growing confidence in AI solutions that address operational challenges across healthcare rather than focusing solely on diagnostics or drug discovery.
Administrative inefficiencies cost healthcare systems billions each year, making workflow automation an increasingly attractive market for investors and providers alike.
Building Across Europe and the U.S.
With operations spanning Stockholm and San Francisco, Everi Labs is developing its platform with both European and U.S. healthcare markets in mind.
The United States represents a particularly significant opportunity due to its complex reimbursement landscape, where prosthetic and DME providers face extensive documentation requirements from insurers and government healthcare programs.
By leveraging AI to simplify compliance and reduce administrative workloads, Everi Labs aims to improve operational efficiency while helping clinics deliver faster, higher-quality patient care.
Looking Ahead
Artificial intelligence is rapidly becoming an essential component of healthcare operations, extending beyond diagnostics into everyday clinical workflows.
Everi Labs represents a growing generation of startups applying AI to solve practical problems inside healthcare organizations. By focusing on documentation and compliance for prosthetic and DME clinics, the company is addressing a niche with substantial unmet need.
As healthcare providers continue searching for ways to reduce administrative overhead and improve efficiency, Everi Labs is positioning itself at the intersection of AI, clinical productivity, and regulatory compliance.
