HLTH Amsterdam 2026 Healthcare Startup Report

HLTH Amsterdam 2026 brought together innovators from across the healthcare ecosystem to showcase technologies moving closer to clinical adoption and real-world deployment.

This report examines 14 emerging healthcare startups working across AI-enabled patient monitoring, contactless health sensing, digital biomarkers, medical imaging, diagnostics, clinical decision support, antimicrobial technologies, and space-based drug discovery.

Going beyond company descriptions, the report assesses how each technology works, the healthcare problem it addresses, its commercialization maturity, funding, clinical or regulatory readiness, and publicly visible IP position.

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Key Summit Highlights

Quick Executive Summary

HLTH Amsterdam 2026 highlighted a healthcare innovation landscape increasingly focused on deployment, integration, and measurable clinical value. AI is moving deeper into EPRs, remote monitoring, and clinical decision-making, while voice, cameras, wearables, and ICU data are enabling more continuous and less intrusive patient monitoring.

At the same time, diagnostics are becoming faster and more accessible through portable and point-of-care technologies. Across the startups analyzed, clinical validation, regulatory readiness, interoperability, and partnerships are emerging as critical factors for adoption and scale.

The broader takeaway is clear: promising healthcare technologies are increasingly being judged not only by what they can do, but by how effectively they fit into existing healthcare systems and move toward real-world use.

From Industry Problems to Emerging Solutions

Across the startups analyzed from HLTH Amsterdam 2026, several recurring healthcare bottlenecks stood out. We mapped these industry problems to the technologies being developed to address them.
Industry Problem
Emerging Solution
Startups to Watch
Patient deterioration is often detected too late
Continuous monitoring, AI risk prediction, voice biomarkers, and real-time ICU intelligence are being used to identify deterioration earlier.
Noah Labs, Sanome, Deep Breath, Rhythm Diagnostic Systems
Patient monitoring remains episodic and hardware-dependent
Cameras, wearables, digital biomarkers, and passive signals are enabling continuous and less intrusive health monitoring.
IntelliProve, Shen AI, Ephion Health, Rhythm Diagnostic Systems
Diagnostics are slow and dependent on centralized laboratories
Portable molecular testing, spectroscopy, AI, and point-of-care platforms are moving diagnostic capabilities closer to patients.
INTU Diagnostics, Nostics, OncoInv, Carna Health
Healthcare data remains fragmented across systems and devices
EPR integration, interoperable platforms, and unified clinical-data layers are connecting information across the care pathway.
Carna Health, Sanome, Noah Labs, Deep Breath
Antimicrobial resistance and device-associated infections remain difficult to control
Rapid pathogen identification and antimicrobial functionality built directly into medical-device materials are attacking the problem from diagnosis and prevention.
Nostics, Zonova Technologies
Traditional drug-discovery models do not always reproduce human biology effectively
Automated microgravity experiments are being explored as an alternative environment for disease modelling and drug screening.
Exobiosphere

The Bigger Signal

The technologies showcased are addressing healthcare bottlenecks at different points of the value chain—from earlier detection and decentralized diagnostics to workflow integration, infection prevention, and drug discovery.

The common direction is toward healthcare that can generate earlier, more continuous, and more actionable information while reducing dependence on specialized infrastructure and disconnected systems.

What R&D and Innovation Teams Should Watch Next

Where Healthcare Innovation Is Focusing:

AI Embedded Directly into Clinical Workflows

Contactless and Lower-Burden Health Measurement

Continuous and Remote Patient Monitoring

Decentralized Diagnostics and Screening

Evidence, Safety, and Regulatory Readiness

Interoperability and Partnerships for Scale

Innovations Reflecting Convergence​

AI, advanced sensing, diagnostics, digital biomarkers, and connected clinical systems are converging to make healthcare more continuous, accessible, and integrated into existing care workflows.

Carna Health

Carna Health combines point-of-care testing, EHR and health-data integration, predictive analytics, and clinician-facing decision support to identify people at risk of cardiovascular, kidney, and metabolic disease and guide them toward appropriate care pathways.

Noah Labs

Noah Labs combines conventional remote-patient monitoring with machine-learning analysis of short voice recordings. Its approach is intended to detect changes associated with worsening heart failure and connect those insights with a broader cardiac telemonitoring platform.

Nostics

Nostics combines Raman spectroscopy, nanostructured materials, sample-processing systems, and AI-based spectral classification to support rapid, point-of-care pathogen identification and antimicrobial-susceptibility analysis.

OncoInv

OncoInv’s OncoSeek platform analyzes combinations of conventional blood-based protein tumor markers and clinical factors to assess multi-cancer risk and predict a probable tissue of origin.

Twente Medical Optics

Twente Medical Optics is developing a handheld laser-speckle imaging system that combines perfusion imaging with motion-compensation technology, aiming to provide real-time blood-flow information during procedures and clinical assessments.

Zonova Technologies

Zonova is developing antimicrobial technology that can be incorporated directly into medical-device polymers during manufacturing rather than being applied later as a surface coating.

Exemplary Startup Analysis

A closer look at the technology, IP, TRL, and commercialization maturity of selected startups.

Noah Labs

The Healthcare Bottleneck

Heart-failure deterioration may not be detected until symptoms become severe enough to require hospitalization. At the same time, clinicians often have to review information from multiple disconnected monitoring devices.

The Solution

Noah Labs combines two complementary platforms:

  • Ark, which consolidates data from external monitoring devices and cardiac implants
  • Vox, which applies machine learning to short voice recordings to identify changes associated with worsening heart failure

Core Innovation Mechanism

Machine-learning models analyze subtle changes in patient voice signals and connect them with multimodal telemonitoring data to support earlier clinical review.

Founded

2021

Headquarter

Germany

Funding

~$10.72M

TRL

Ark is commercially deployed; Vox is undergoing clinical validation

IP

Yes

OncoInv

The Healthcare Bottleneck

Cancer-screening pathways are generally disease-specific and can depend on specialized infrastructure, making broad population-level screening difficult and costly.

The Solution

OncoInv supports OncoSeek, a blood-based multi-cancer detection test that combines conventional protein tumor markers with machine learning. The system produces a probability-of-cancer result and may also predict the likely tissue of origin.

Core Innovation Mechanism

A cloud-based model evaluates relationships among multiple protein markers and patient-related clinical factors rather than interpreting each biomarker independently.

Founded

2023

Headquarter

Netherlands

Funding

TRL

CE-marked and designed for existing healthcare infrastructure

IP

Yes

Nostics

The Healthcare Bottleneck

Culture-based pathogen identification can take several days. During this waiting period, clinicians may need to prescribe antibiotics empirically, contributing to inappropriate treatment and antimicrobial resistance.

The Solution

Nostics is developing a portable point-of-care platform designed to identify pathogens directly from biological samples using optical spectral analysis.

Core Innovation Mechanism

The platform combines:

  • Raman and surface-enhanced Raman spectroscopy
  • Nanostructured materials that improve signal sensitivity
  • Sample-capture and processing technologies
  • AI models that classify pathogen-specific molecular fingerprints

Founded

2020

Headquarter

Netherlands

Funding

~ $6.9M

TRL

Lab-comparable accuracy demonstrated; no regulatory clearance disclosed

IP

Yes

Zonova Technologies

The Healthcare Bottleneck

Antimicrobial surface coatings can lose effectiveness after repeated cleaning or chemical exposure. Contaminated medical-device surfaces may therefore continue to contribute to infection and antimicrobial-resistance risks.

The Solution

Zonova’s Z-ROS technology is intended to be integrated directly into medical-device polymers during manufacturing, allowing antimicrobial functionality to remain part of the device material.

Core Innovation Mechanism

The underlying patent application covers metallic nanoparticle–photosensitizer antimicrobial compositions, including polymer encapsulation and compositions designed to remain active without external light.

Founded

2023

Headquarter

United Kingdom

Funding

~ $2.83M

TRL

Lab-validated material; no disclosed clinical or regulatory milestone

IP

Yes

Rhythm Diagnostic Systems

The Healthcare Bottleneck

Periodic nursing observations can miss deterioration occurring between scheduled checks. Single-parameter monitors may also fail to provide enough physiological context for safe discharge and remote follow-up.

The Solution

Rhythm Diagnostic Systems has developed MultiSense, a wearable patch designed to continuously monitor multiple physiological parameters in hospital and home settings.

Core Innovation Mechanism

The patch combines ECG, photoplethysmography, piezoelectric sensing, temperature sensing, and accelerometry. Data is transmitted to a cloud-connected platform for clinical interpretation and remote surveillance.

Founded

2020

Headquarter

France

Funding

~ $35.73M

TRL

CE-marked Class IIa medical device

IP

Yes

Get the Full Intelligence Report

Access the complete 37-page report covering 14 emerging healthcare startups, their technology frameworks, problem-solution fit, commercialization maturity, funding, clinical or regulatory readiness, and selected patent activity.

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