Combination of State-of-the-Art Technologies for Reliable Therapy Proposals

Technologies, tools & methods

Quantitative structure-activity relationships / artificial intelligence

Quantitative structure-activity relationships (QSAR) is an AI approach that uses knowledge about molecular structure to predict activities and properties of chemical substances. ​

​We use QSAR to fill gaps in the available evidence. It allows us to predict metabolic pathways to better assess potential drug-drug interactions, and to predict activities that are not measured (long-term behavior and additional endpoints).

Natural language processing  / artificial intelligence

Natural language processing (NLP) is an AI approach for extracting knowledge from written sources. The most recent algorithms exceed human accuracies in answering questions.

​We use NLP to increase the speed of our work and verify the accuracy of our data.

Complex relational database

Relational databases store data and the relations that join them. It allows the retrieval of data with specific constraints and act on them so that only the information needed is provided among large amounts of data.

We use it to store and retrieve all information about medicinal products such as contraindications, efficacy, safety, pharmacology, and posology for specific types of patients.

Statistical inference

Scoring algorithms

Service design

​Statistical inference is a mathematical way to extract knowledge from data using statistical approaches like time series or Bayesian statistics.

​We use statistical inference to match patient data with existing evidence and adapt the displayed information to each patient.

Scientific and clinical evidence do not have equal reliability. Unreliable sources should have less impact than reliable ones when aggregating existing data.​

​​We developed a scoring system that helps us to assess whether we can trust the outcomes of a source and whether they can be applied to the population. This scoring system allows us to combine our sources and extract an accurate estimation of clinical outcomes for a drug.

Service design is an approach to design which considers people, stakeholders, places and processes as integral parts of a solution. The design process is based on research, analysis, creativity and testing.

​We involve all the healthcare stakeholders in our product design. We test our solution, conduct interviews, research and co-create with the different stakeholders to ensure that our solution is addressing real needs. 


Henisaja GmbH


Kastanienallee 61

10119 Berlin


Chief Executive Officer:  Helene Schönewolf

+49 (0) 30 31 98 08 52​

Registered at the local court Berlin Charlottenburg HRB 167143 B

VAT: DE299921795

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