Averbis is a leading text mining and machine learning company in Healthcare and Life Sciences.
We extract information from texts, automate intellectual processes and make meaningful predictions.
We extract information from texts, automate intellectual processes and make meaningful predictions.
OUR PRODUCTS & SOLUTIONS
lives better with AI
100+
Satisfied customers and partners work successfully with our products
We are Excellent!
Meet us
8th Annual Risk Management and Pharmacovigilance Summit
6th May 2021, Online
David Baehrens and Sonja Wewering (Bayer AG) talk about “DetAEct – A Machine Learning Approach to Review Adverse Events from Literatur”
KI in der Pharmazeutischen Industrie
6th May 2021, Online
Hanno Ebsen will talk about “Den Informationsschatz der pharmazeutischen Industrie heben”.
DMEA
7th – 11th June 2021, Online
Booth and Talk by Dr. P. Daumke “NLP and Speech2Structure”. Meet also Rico Resing talking exclusively on-demand from May 25th 2021 about “Klinische Daten: Unstrukturiert ? Ungenutzt?”.
OUR CUTTING EDGE TECHNOLOGY
Text Mining
Over 80% of business-relevant information is now hidden in unstructured data. And new information is added every day! With the text mining tools from Averbis, you can unearth this treasure trove of data and get comprehensive insights and predictions – quickly and precisely.
Machine Learning
We use Machine Learning for the automatic classification of documents. Sentiment analysis, natural language processing, content monitoring, technology categorization, predictive coding, clustering, alerting & document research can be implemented in a few steps.
Semantic Search
Our semantic search allows the targeted finding of facts in large document collections. Semantic filters allow you to quickly drill down from results to a few relevant documents. Synonyms and sub-terms are automatically recognized – for a simultaneous high precision and completeness of the hit list.
Terminology Management
Terminology management enables the maintenance and extension of external and internal terminologies and ontologies. Hierarchies of terms help to organize individual subject areas linguistically and formally and establish rules about the relationships between the respective terms.
Tell us about your project
Please send us a message if you would like to talk about a use case or if you would like to find out how Averbis can help you in your business.
- Find out what potential your data has
- Request a demo
- Get pricing information
- Learn more about application areas in your industry
- Free & non-binding