<strong>World leader in machine reading the Pharma conversation</strong>

We are the world leader in developing and deploying machine reading technology to synthesize action-ready insights from unstructured text. Our team consists of Artificial Intelligence and Natural Language Processing visionaries who deliver state-of-the-science computing solutions focused on Pharma’s needs. We teach our Artificial Intelligence to read public and proprietary data with experts’ accuracy at machine scale.


We support innovators in the pharmaceutical industry in identifying and optimizing product value. Our customers need to access and assemble evidence in real time in a number of functions, such as medical excellence, customer value and RWE, market development and access, HEOR/HTA, patient journey and advocacy, and competitive intelligence. In all of these domains, understanding the views of relevant stakeholders – patients, health care practitioners, payers, competitors – in multiple markets around the globe is essential. We are convinced that deep data-driven understanding of these voices unleashes the genuine innovation in decision-making that accelerates both our customers’ contribution to healthcare and their competitive advantage.

Passion for Technology

We use state-of-the-science semantic computing to unlock the value of human-created data for Pharma

Our cutting-edge Natural Language Processing (NLP) technologies automatically extract key insights from natural language data, such as HCP surveys and focus group transcripts, medical affairs communications, EHR, or patient forums. Awareness, judgments, emotions, etc. are linked to key entities in a knowledge graph, which ensures insights are correctly contextualized.
Our robust and flexible approach to analyzing language enables discovery of relevant insights by using Machine Learning to induce rules from training data. We not only look for expected patterns (e.g. of efficacy, of prescription intention, of unmet needs) as components of insights, but also extract unexpected commonalities to discover the “unknown unknowns”.
We rely on ontologies and semantic technologies to capture relevant domain knowledge that allows us to contextualize analyses and support disambiguation. These methods ensure high accuracy and harmonization across data sources to generate coherent insights that actually matter.
Our Pharma Knowledge Graphs (networked databases) are the foundation of our interpretive power and are built on relations among, e.g., clinical studies, drug products, conditions, and guidelines, and their associations in text with subjective experiences, thoughts, and feelings, to provide optimal contextualization and consistent and harmonized analytics. The knowledge graph is the foundation on which algorithms understand the business of Pharma.

Understanding the Why

We help you understand the WHY, that is, the reasons behind physicians’, patients’, payers’, and regulators’ perceptions of Pharma value. These views inform the narratives and decisions propelling healthcare forward: on developing new opportunities, on maximizing available resources, on pivoting to the strategies that promote both brand and consumer health.

Develop powerful value narratives

We provide insights that enable pharma companies to calibrate their value proposition and market value to market needs.

Understanding the Why

We provide clear answers to specific questions, helping to exlpain the main drivers that affect value perception.

Get 360° evidence

Get comprehensive evidence of value perception. Across data sources. Across stakeholders. Across geographies. Across time.

Move ahead of competitors

Be fast! No more quarterly, manually compiled and outdated reports. Get insights instantly and in real time!

Foster collaboration

Our systematic approach to capture value perception fosters collaboration across departments and business units.

Our Story

Founded in 2015 as a spin-off of the Semantic Computing Research Group at CITEC (Cognitive Interaction Technology Center of Excellence, Bielefeld University, Germany), by 2018 we had grown from a handful of employees to a diverse team of 45 internationally recruited colleagues, maintaining connections to leading researchers and top pharmaceutical companies worldwide. Highly specialized experts drive our progress in key technologies such as Machine Learning, Deep Learning, Knowledge Graphs, Natural Language Processing, Machine Reading, Predictive Analytics, Statistical Inference and Data Visualization.

We executed 25+ projects with clients from the pharmaceutical industry with a total volume of EUR 2.8M between 2015 – 2018. Currently, we are launching Pharos®, a platform that ingests information from various Pharma-relevant sources to explain the global conversation around drug product and brand value in real time. Pharos® provides a comprehensive overview by analyzing the voices of multiple stakeholders, including pharmaceutical companies, patients, HCPs, and regulators. 

Our rapid growth and successful business model have attracted a seed investment of EUR 1M from several VC investors and Business Angels.

Semalytix is known from

Wirtschaftswoche / Economy 4.0
The hundert
Neue Westfälische



2016: Winner in international award for best performing Sentiment analysis system (ESWC)
2016: Winner of Best Research Transfer project award at Semantics, Leipzig
2017: Participation in Bertelsmann funded Start-Up Accelerator program
2018: Finalist in the BARC start up award
2018: Awarded funding by the European Commission for multilingual text analytics toward RWE in Pharma
2018: Recognised among the top-10 most innovative start-ups in Germany by The Hundert