Averbis
Averbis GmbH develops natural language processing and large language model software for hospitals and medical software manufacturers. Its Medical Summary platform and Health Discovery product convert unstructured patient data into standardized, interoperable records for clinical documentation and research.
- Company typePrivate
- Founded2007
- HeadquartersFreiburg, Germany
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Averbis does
Averbis GmbH is a Freiburg-headquartered, founder-owned German software company that builds natural language processing (NLP) and large language model (LLM) applications for the healthcare sector. Founded in 2007 by physician Dr. Philipp Daumke and computational linguist Dr. Kornél Markó, the company targets the structural problem that clinical decisions rely on unstructured physician letters, discharge summaries, and patient records. Its stated footprint covers more than 100 customers and partners across Germany, Austria, and Switzerland, anchored by named enterprise users such as Robert Bosch Krankenhaus, Klinikum Rheine, Uniklinikum Freiburg, Uniklinikum Erlangen, TUM, IQVIA, Bayer, Merck, and Cerner.
The company's core product is Medical Summary, an on-premise platform that pulls unstructured documents from hospital information systems, archives, and national electronic health records (ePA in Germany, ELGA in Austria, EPD in Switzerland) and delivers a chronologically ordered patient overview, GenAI-powered summarization, Q&A dialogue, and automated medical report generation. Two on-platform modules extend it: Medical Dialog, which transcribes physician-patient conversations into structured documentation in real time, and Medical Report, which drafts clinical reports from existing documentation. Health Discovery is a parallel AI platform focused on real-time extraction of 50+ medical entity types, negation detection, and translation into FHIR, SNOMED-CT, ICD-10, and LOINC. The technology stack combines a proprietary NLP pipeline, 150 pre-trained AI models, 15+ terminologies, and Apache UIMA Ruta, an open-source rule language donated to the Apache Software Foundation.
Averbis earns revenue from enterprise subscription licenses for Medical Summary and Health Discovery, multi-year AI consulting engagements for hospitals and medical software manufacturers, and integration/support services. Pricing is quote-based and tailored to hospital size and deployment scope. Distribution combines direct enterprise sales — engaged through website contact forms and consultation-led demos — with an OEM/embedded channel, most visibly through a 2025 partnership that integrates Medical Summary into Meierhofer AG's M-KIS hospital information system. The company remains privately held by its founders with no disclosed external institutional investment and operates from a 11–50 person team in Freiburg.
Averbis firmographics
Firmographics- Name
- Averbis
- Legal name
- Averbis GmbH
- Website
- https://averbis.com
- Company type
- Private
- Founded year
- 2007
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Averbis GmbH develops natural language processing and large language model software for hospitals and medical software manufacturers. Its Medical Summary platform and Health Discovery product convert unstructured patient data into standardized, interoperable records for clinical documentation and research.
- Ownership category
- akta.pro rank
Averbis industry classification
Industry- Product category
- Healthcare Clinical NLP Software
- NAICS
- Software Publishers (5132), Software Publishers (513210), Custom Computer Programming Services (541511)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372), Services-Health Services (8000)
- akta.pro primary industry
- Healthcare Terminology, Ontology & Code Set Management (SNOMED/LOINC/ICD/RxNorm) (HLACAIAF)
- akta.pro secondary industries
- Terminology Services & Semantic Interoperability (SNOMED/LOINC/RxNorm mapping) (HLACABAJ), Nursing, Clinical Notes & Documentation Workflow Tools (HLACAAAG), EHR/EMR Integration & Interoperability Middleware (HL7/FHIR) (HLALAKAD), Clinical & Translational Informatics (Clinical Data Integration/Real-World Data for R&D) (HLAGAJAF)
Keywords
Where Averbis is headquartered
LocationHeadquarters
- HQ city
- Freiburg
- HQ country
- Germany
- HQ region
- Europe
Offices1 record
Markets served
Averbis business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- Software Licenses and Subscriptions: Revenue from licensing Medical Summary and Health Discovery platforms to hospitals and healthcare software manufacturers. Products are deployed on-premise with optional cloud components.
- AI Consulting Services: Consulting engagements for AI strategy, technology selection, implementation, process integration, training, and data protection compliance for healthcare organizations.
- Integration and Support Services: Implementation services including connector framework integration, system setup, and ongoing technical support for deployed solutions.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise hospital licensing |
| Other | Multi-year contract | Consulting services |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels6 records
Averbis product offering
Product offeringCore offering
Averbis develops and sells NLP- and LLM-based AI software for hospitals and medical software vendors, primarily its Medical Summary platform. Medical Summary aggregates unstructured patient documents from hospital information systems, archives, and electronic patient records (ePA/ELGA/EPD) into a chronologically ordered structured patient overview, with GenAI-driven summarization, Q&A dialogue, and optional automated medical-report generation and physician-patient conversation transcription. The Health Discovery platform is a complementary offering that extracts 50+ medical entity types in real time and maps them to interoperability standards such as FHIR, SNOMED-CT, ICD-10, and LOINC.
Product overview
Averbis offers a portfolio of NLP and AI-based products for healthcare, centered on its Medical Summary platform. Medical Summary is the primary hospital-facing product: it aggregates unstructured patient documents from multiple sources (KIS, archives, ePA, ELGA, EPD) into a structured, chronologically ordered overview and layers on GenAI-powered summarization, Q&A dialogue, and automated medical report generation. It is modular — Medical Dialog (transcription of physician-patient conversations) and the Medical Report module (automated report writing) are extensions added to the core platform. Health Discovery is a parallel AI platform/product focused on structured data extraction, supporting 50+ entity types, 15+ terminologies, and output to interoperability standards (FHIR, SNOMED-CT, ICD-10, LOINC). AI Consulting for Healthcare provides advisory services on LLM and NLP integration into clinical environments.
Differentiator
Problem solved
Functional benefit
Brands
- Medical Summary: AI-powered document overview platform for hospitals that provides structured, chronologically ordered patient data from unstructured documents across multiple data sources.
- Medical Dialog
- Health Discovery
- DeID
Products and services
- Medical Summary AI-powered patient documentation platform for hospitals that consolidates unstructured documents from multiple data sources (KIS, archives, ePA, ELGA, EPD) into a structured, chronologically ordered patient overview, with GenAI-powered summarization, Q&A dialogue, and automated medical report generation. Deployed on-premise within hospital IT with optional GDPR-compliant cloud components.
- Medical Dialog Add-on module within Medical Summary that transcribes physician-patient conversations in real time (via smartphone or dictation microphone) and converts them into structured documentation including diagnoses, medications, and vital parameters.
- Medical Report (Automated Medical Report Generation) Add-on module within Medical Summary that analyzes and consolidates available patient documentation (findings, surgical reports, diagnoses, nursing documentation, therapy records) to generate structured medical reports, checking content for structural consistency and completeness.
- Health Discovery AI platform that structures health data in real time from unstructured sources (PDFs, Word documents, free-text entries, speech). Extracts 50+ medical entity types including diagnoses, medications, and lab and vital parameters, and translates them to standards including FHIR, SNOMED-CT, ICD-10, and LOINC. Includes de-identification tools, negation detection, and 150 pre-trained AI models supporting 15+ terminologies.
- AI Consulting for Healthcare Advisory services for hospitals and medical software companies on integrating LLMs and NLP into clinical workflows, covering needs assessment, technology selection, process integration, training, and data privacy and compliance.
Quantifiable outcome
- Physicians access relevant medical documentation 5x faster through Medical Summary
- +3 more outcomes
Companies that use Averbis
Customer profileNamed customers11 records
Segments3 records
Ideal customer profiles2 records
Averbis technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability7 records
Feature5 records
Averbis partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core.
- Meierhofer AGcorePartnership to integrate Averbis Medical Summary and Medical Dialog into Meierhofer's M-KIS hospital information system. Joint development of AI-powered functions for clinical documentation and administrative process automation. Enables seamless integration within existing KIS platform with minimal implementation effort.
- VitagroupcorePartnership announced to support data processing for medical professionals. Joint solutions enable healthcare providers to efficiently utilize all data and information for care and research.
- Uniklinikum FreiburgcoreLong-standing partnership in Medical Informatics Initiative and AI development for healthcare data structuring.
- Medizinische Informatik Initiative (MII)coreActive participation in German Medical Informatics Initiative focused on making health data interoperable and usable for research and care.
- Technische Universität München (TUM)coreCollaboration with Chair of Medical Informatics for advancing NLP applications in healthcare and supporting digital transformation of patient care.
- Bosch Health Campus / Robert Bosch KrankenhauscoreAI real-world laboratory deployment of Medical Summary at Robert Bosch Krankenhaus. Collaborative development and testing of AI-powered clinical documentation solutions in real hospital environment.
Scale indicators5 records
Recent moves6 records
Expansion highlights5 records
Averbis competitors and assessment
Company assessmentDirect peers
- DeepScribe: DeepScribe automates medical documentation using ambient AI in specialty practices and hospitals. Direct comparable to Averbis Medical Dialog and Medical Summary for clinical note generation from patient visits.
- Nuance (Microsoft) DAX Copilot: Nuance's Dragon Medical One and DAX Copilot (now under Microsoft) is the global leader in ambient clinical AI and physician documentation. Directly comparable product overlap with Averbis Medical Summary and Medical Dialog for hospital documentation, though Microsoft/Nuance leads on US scale and cloud deployment.
- Augmedix: Augmedix provides AI-assisted medical documentation and ambient scribing for hospitals and health systems. Direct comparable to Averbis Medical Summary on structured documentation output from unstructured clinician text.
- Abridge: Abridge builds AI that converts patient-clinician conversations into structured clinical notes and integrates with Epic. Direct comparable to Averbis Medical Dialog for ambient documentation; both compete for the same hospital documentation budget line.
- Suki AI: Suki offers an AI assistant that generates clinical notes from patient conversations for EHRs like Epic and athenahealth. Comparable ambient-AI documentation approach to Averbis Medical Dialog and Medical Summary.
- M*Modal (3M Health Information Systems / Solventum): M*Modal provides speech recognition and computer-assisted physician documentation tools used in US hospitals. Highly comparable on clinical NLP and EHR-integrated documentation, now operating as Solventum.
Broad incumbents
- Oracle Health (formerly Cerner): Oracle Health offers the Cerner EHR plus embedded AI scribe and documentation capabilities across large health systems. Averbis actually has a Cerner integration partnership, making it both a partner and a broad incumbent that competes for documentation AI budget.
- Health Catalyst: Health Catalyst is a healthcare data and analytics platform with terminology-mapping and NLP capabilities for hospitals and life sciences. Broader portfolio than Averbis but materially comparable on healthcare data structuring, terminology normalization, and SNOMED/ICD mapping.
- Epic Systems: Epic is the dominant US EHR vendor and has been expanding ambient AI and NLP features directly into its platform, competing for the same clinical documentation AI budget that Averbis targets through its KIS partnership channel in Europe.
Regional players
- Dedalus Group: Dedalus is a major European healthcare IT vendor providing EHR/KIS systems across DACH and Southern Europe. As a regional incumbent and KIS vendor, it competes for the hospital documentation and interoperability spend that Averbis targets, with overlapping FHIR and SNOMED-CT requirements.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights6 records
Customer concentration
Averbis social profiles
Digital presenceAverbis compliance and trust
Trust signalCompliance3 records
Averbis financial estimates
Financial estimateRevenue estimate
Valuation estimate
Averbis leadership team
Management profileNumber of profiles
Profiles8 records
Averbis funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Averbis M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Averbis
What does Averbis do?
Averbis develops and sells NLP- and LLM-based AI software for hospitals and medical software vendors, primarily its Medical Summary platform. Medical Summary aggregates unstructured patient documents from hospital information systems, archives, and electronic patient records (ePA/ELGA/EPD) into a chronologically ordered structured patient overview, with GenAI-driven summarization, Q&A dialogue, and optional automated medical-report generation and physician-patient conversation transcription. The Health Discovery platform is a complementary offering that extracts 50+ medical entity types in real time and maps them to interoperability standards such as FHIR, SNOMED-CT, ICD-10, and LOINC.
Is Averbis a public or private company?
Averbis is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Averbis founded?
Averbis was founded in 2007. It employs 11 to 50 people.
Where is Averbis based?
Averbis is headquartered in Freiburg, Germany, in the Europe region.
How does Averbis make money?
Three revenue lines are on record. Software Licenses and Subscriptions are the primary driver. The others are AI Consulting Services and integration and Support Services.
Who are Averbis's main competitors?
Direct peers on record are DeepScribe, Nuance (Microsoft) DAX Copilot, Augmedix, Abridge, Suki AI and M*Modal (3M Health Information Systems / Solventum). Broad incumbents are Oracle Health (formerly Cerner), Health Catalyst and Epic Systems. Dedalus Group is listed as a regional player.
Does Averbis have an API?
Yes. Medical Summary provides standard APIs enabling integration with source systems (such as Hospital Information Systems/KIS) and existing clinical applications. A connector framework supports interoperability across clinical systems.
What industry is Averbis in?
Averbis's product category is Healthcare Clinical NLP Software. Its primary akta.pro industry code is HLACAIAF, Healthcare Terminology, Ontology & Code Set Management (SNOMED/LOINC/ICD/RxNorm), with a secondary code of HLACABAJ, Terminology Services & Semantic Interoperability (SNOMED/LOINC/RxNorm mapping). Its NAICS code is 5132 and its SIC code is 7370.