DryLabz

What DryLabz does

DryLabz GmbH is a Basel, Switzerland-based healthtech startup founded in 2025 that builds an AI-driven clinical decision support platform integrating in-vitro diagnostic test results, electronic health records (openEHR-compliant), and AI/data-science workflows. Its product portfolio centers on three components: the RADICAL calculator engine—an automated, regulatory-compliant engine that replaces manual computation of clinical scoring systems and medical calculators; an LLM-based clinical data extraction pipeline that converts unstructured discharge summaries, reports, PDFs, and narrative notes into structured fields, with a published methodology for measuring extraction reliability across prompts, model sizes, and schema choices; and a quantum-classical machine learning pipeline that combines classical survival models with quantum-generated features, benchmarked on real quantum hardware, for clinical prediction and patient stratification in small-cohort, high-stakes settings.

The company runs a direct enterprise sales motion focused on hospitals, laboratories, and physicians, with the lead reference site being Basel University Hospital via the Digital Health Nation Open Innovation Challenge. Go-to-market channels are anchored in B2B co-development and accelerator-driven visibility, including selection into the QAI Ventures Batch III Accelerator (May–October 2025), with content marketing (corporate blog and arXiv publications) and a newsletter supporting top-of-funnel awareness. The revenue model is described as subscription/recurring for the AI-driven diagnostic platform, but pricing and commercial terms are not publicly disclosed.

DryLabz is venture-backed by Antler (pre-seed ~$109K, March 2025) and QAI Ventures (undisclosed, October 2025), supplemented by Innosuisse Core Coaching (January 2026). The team is led by co-founders Norbert Farkas (CEO) and Dr. Martin Murin (CSO, former CERN ATLAS particle physicist), with Dr. Joan Mendivil as Medical Advisor, and draws expertise from Roche, Novartis, and CERN across diagnostics, AI, and pharmaceuticals.

Name

DryLabz

Legal name

DryLabz GmbH

Website

https://drylabz.com

Company type

Private

Founded year

2025

Operating status

Operating

Headcount range

1–10 employees

Short description

DryLabz is a Basel-based healthtech startup building an AI-driven, openEHR-compliant clinical decision support platform that integrates in-vitro diagnostics, LLM-based clinical data extraction, and quantum-classical machine learning to serve hospitals, physicians, laboratories, and diagnostics manufacturers.

Ownership category

akta.pro rank

Product category

AI Clinical Decision Support Software

NAICS

In-Vitro Diagnostic Substance Manufacturing (325413)

SIC

In Vitro & In Vivo Diagnostic Substances (2835)

akta.pro primary industry

Diagnostic & Triage Decision Support (HLACAGAA)

akta.pro secondary industries

Digital & AI-Enabled Diagnostics (algorithmic interpretation, decision support tied to assays) (HLAAALAO), Lab Data Exchange & Interoperability (HL7/FHIR/LDT Results Delivery) (HLACAMAL), Laboratory Informatics for Diagnostics (LIS/Middleware/Analyzer Connectivity) (HLAHAAAO)

Keywords

• AI clinical diagnostics
• Clinical decision support
• In-vitro diagnostics integration
• LLM clinical data extraction
• Healthcare AI software

Headquarters

HQ city

Basel

HQ country

Switzerland

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. AI-driven Diagnostic Platform: DryLabz generates revenue through AI-driven diagnostic solutions that integrate in-vitro diagnostic tests with medical records, data science, and AI. The company targets hospitals, laboratories, physicians, health insurers, and diagnostics manufacturers with its clinical decision support platform. Revenue model specifics are not publicly disclosed.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels5 records

Core offering

DryLabz develops an AI-driven clinical decision support platform that integrates in-vitro diagnostic (IVD) test results with electronic medical records, data science, and AI to convert unused healthcare data into precision diagnostics. Its flagship deliverable, the RADICAL calculator engine, automates regulatory-compliant clinical scoring systems and medical calculators to reduce clinician workload, while a Quantum Machine Learning Pipeline supports clinical prediction and patient stratification. The platform targets hospitals, physicians, laboratory experts, and in-vitro diagnostics manufacturers.

Product overview

DryLabz offers a unified AI-driven diagnostic platform centered on its Clinical Decision Support Platform. The core product portfolio includes the RADICAL calculator engine (an automated, regulatory-compliant tool for clinical scoring and medical calculators), a Quantum Machine Learning Pipeline (combining classical survival models with quantum-generated features), and LLM-based clinical data extraction capabilities. The platform integrates with hospital systems and medical records to transform unstructured patient data into precision diagnostics.

Differentiator

Problem solved

Functional benefit

Products and services

• RADICAL (Regulatory-compliant Algorithmic Diagnostics Integration for Clinical Accuracy and Logistics) Automated, regulatory-compliant calculator engine that integrates with patient data and clinical workflows, replacing manual computation of medical calculators and clinical scoring systems to reduce clinician workload, minimize errors, and accelerate decision-making.
• Clinical Decision Support Platform AI-driven platform that turns unstructured patient data into precision diagnostics by combining in-vitro diagnostic test results with medical records, data science, and AI to support clinical decisions.
• Quantum Machine Learning Pipeline End-to-end pipeline combining classical survival models with quantum-generated features for clinical prediction and patient stratification, targeting settings with limited data, small cohorts, and high-stakes clinical decisions.

Quantifiable outcome

• 97% of healthcare data goes unused, resulting in fragmented decisions (World Economic Forum)

Segments6 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature4 records

Partnerships

Four partnerships are on record, tiered core and strategic.

• Basel University HospitalcoreStrategic or Co-development PartnerCollaboration in the Digital Health Nation Open Innovation Challenge (March–June 2025) focused on developing scalable, openEHR-compliant solutions for clinical workflows. DryLabz is working on the RADICAL project with Basel University Hospital on selected use cases to assess real-world applicability and regulatory compliance. The hospital is on a transformative journey toward becoming a data-driven hospital.
• Digital Health Nation Innovation BoostercoreStrategic or Co-development PartnerDigital Health Nation Innovation Booster collaborated with Basel University Hospital to launch the Open Innovation Challenge on 'Improving Clinical Data Capture for Better Healthcare Outcomes.' DryLabz was selected as a participant in this three-month challenge running from March to June 2025.
• InnosuissecoreOthersInnosuisse approved DryLabz for Core Coaching after the company progressed through their pitch and evaluation process. This provides access to experienced coaching, structured guidance, and a broader innovation ecosystem. Stefan Tuchschmid provided guidance as the coach.
• QuantumBaselstrategicTechnology or IntegrationQuantumBasel collaborated with DryLabz on the exploration of quantum machine learning in healthcare, particularly for clinical prediction, patient stratification, and decision support. The work was developed in close collaboration with experts from the quantum ecosystem including QuantumBasel, QAI Ventures, and additional technical and scientific contributors.

Scale indicators2 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Ada Health: Berlin-based AI symptom assessment and clinical decision support platform serving both consumers and health systems. Comparable as an AI-powered CDS platform targeting physicians and patients, with similar regulatory and clinical-evidence hurdles.
• Aignostics: Berlin-based AI diagnostics company building AI models on pathology and clinical data for biopharma and clinical use. Comparable as a European AI diagnostics startup combining deep tech (foundation models) with hospital/biopharma GTM, much like DryLabz's clinical AI + IVD positioning.
• K Health: US-based AI clinical decision support platform combining patient data, LLMs, and clinician oversight for primary care. Comparable as an AI-driven CDS platform using large language models on patient data to inform clinical decisions, though primarily direct-to-consumer rather than B2B hospital sales.
• Better (Better Healthcare): openEHR-based digital health platform providing EHR, data integration, and clinical workflow tools to European hospitals. Directly comparable on openEHR-native interoperability and European hospital GTM, though focused more on EHR infrastructure than AI-driven CDS.
• Mediktor: Barcelona-based AI symptom checker and clinical triage decision support platform deployed across hospitals and insurers. Comparable as a clinically validated AI CDS product with a B2B2C model targeting health systems and payers.

Broad incumbents

• Tempus Labs: US-based AI precision medicine platform integrating molecular and clinical data for diagnostics and decision support, with deep biopharma partnerships. Comparable in the AI-driven diagnostics + IVD data integration category but a much larger, publicly-discussed incumbent.
• Biofourmis: Boston-based AI-driven clinical decision support and remote monitoring platform for hospitals and pharma. Comparable in using AI on patient data to drive clinical decisions, but operating at much larger scale across the US and Asia.
• Owkin: AI-driven precision medicine platform that partners with hospitals and biopharma on AI diagnostics and clinical decision support using multimodal patient data. Directly comparable in the AI-for-clinical-decisions category, but at significantly larger scale and broader geographic reach.

Regional players

• Doctolib: France-based leading healthtech platform for appointment booking, teleconsultation, and increasingly clinical workflow software for European practitioners. Comparable as a European healthtech serving hospitals and physicians, but with very different scope (practice management vs. AI diagnostics).
• Temedica: Munich-based health data and AI company turning real-world patient data into insights for pharma, insurers, and providers. Comparable as a DACH healthtech player applying AI to clinical and patient data, but more focused on RWE than direct CDS for clinicians.

Market position

Strengths4 records

Weaknesses3 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about DryLabz