Healthcare & AI
Personalized. Secure. Connected.
The intelligent use of sensor technology, AI, and data analysis is fundamentally transforming the healthcare industry and enabling more efficient diagnosis, the development of personalized therapies, and proactive prevention. Sensors continuously provide high-resolution data, while AI recognizes patterns, learns correlations, and makes predictions. Through intelligent data analysis, medical processes and developments become measurable, enabling evidence-based decisions in diagnosis, treatment, and prevention.
We support companies in the healthcare sector and in research and development, from strategic consulting to the development of customized AI-powered software solutions. Together, we create future-proof applications that meet the highest standards—not only technologically but also in terms of regulatory compliance.
Intelligent Data Analysis
Using AI to Transform Complex Data into Relevant Insights
The use of data- and AI-driven technologies offers great potential in the healthcare sector and requires a structured approach to handling complex data sources. Huge volumes of data are generated every day, and collecting and analyzing this data manually is time-consuming and resource-intensive. At the same time, requirements for data protection, security, and regulatory compliance are increasing.
Using modern data science and AI methods, even more information and correlations can be extracted from datasets for targeted use. We rely on our intelligent and customizable data analysis platform as the foundation for this. In this way, we make data actionable and support precise diagnostics and innovative care models.
Many applications, clear advantages.
Professional, specialized, and intuitive patient application
A customized mobile app for patients, doctors, therapists, and healthcare professionals that provides quick and easy access.
Use and Analysis of Large Data Sets
Use of machine learning for pattern recognition in large datasets and for accurate predictions. Automated algorithms support decision-making and identify relevant disease or treatment characteristics.
Integration of Data Sources & Measurement Systems
Real-time data from sensors, wearables, medical instruments, measuring devices, and therapeutic equipment continuously provides relevant information about patients.
Interoperability &
Integration
Structured data exchange and standardized integration into existing systems and databases enable customized solutions with a consistent user experience.
Personalized. Secure. Connected.
Secure Networking and Compliance with Regulatory Standards
Networking & Interoperability
- Secure connectivity between different systems and stakeholders in the healthcare sector
- Expertise in data modeling using, for example, FHIR, HL7, SNOMED CT, and LOINC, as well as the interoperability requirements for ePA, e-prescriptions, HIS, PVS, and PACS
Regulatory Expertise
- In-depth knowledge of the EU MDR, the DiGA Regulation, the GDPR, the EU AI Act, and relevant standards such as ISO 13485, ISO 14971, IEC 62304, and IEC 82304-1
- Support with risk management, technical documentation, and conformity assessment, as well as certification and compliance with regulatory requirements
Security & Data Protection
- Data Protection and IT Security at the Highest Level—From Architecture to Operations
- Compliance with all data protection and security requirements in accordance with BSI Basic Protection and ISO 27001
For better decisions in diagnostics, treatment, clinical trials, and workflows.
Many applications, one goal: better health care
From clinical research to personalized therapy: Our intelligent data analytics platform combines AI, sensor technology, and data analysis to deliver measurable value—in the pharmaceutical industry, medical technology, research, therapy, and healthcare payers.
Overview of applications:
- Optimization of diagnoses, therapies, clinical trials, and workflows
- Digital treatment planning & patient documentation
- Personalized therapy support through wearables and adaptive systems
- Support for clinical trials through continuous learning from real-time and historical data
- Supporting research and development through AI-driven analysis of biological, chemical, and clinical data
- Predictive maintenance of medical devices using IoT-based sensors
- Improving efficiency in regulatory approval processes through comparison of historical data and automated text analysis
Custom Solutions: Healthcare Case Studies
The BMBF-funded project “My-Reha digital” developed a software system for personalized, cross-sector rehabilitation following knee replacement surgery. It addresses gaps in care through intelligent, data-driven exercise plans. AI-powered software uses sensor data to create individualized, continuously optimized training plans based on scientific body models and an evidence-based exercise catalog. Medical professionals can interactively adjust the plans to ensure the optimal course of therapy. My-Reha digital combines machine-based data analysis with medical expertise, thereby enabling continuously adapted, professional post-treatment care.
In collaboration with partners from research, industry, and healthcare, a digital therapy system was developed to support young scoliosis patients during their brace treatment. Since the success of the therapy has traditionally depended heavily on the adolescents’ discipline and self-awareness, the new system is designed to significantly improve the process.
A smart brace equipped with pressure and stretch sensors continuously monitors fit and wear patterns. The data is transmitted via an app to an analytics platform, where AI algorithms evaluate brace wear in real time and provide motivational feedback. Gamification elements further promote treatment adherence.
This provides doctors and medical supply stores with objective information for precise adjustments, while the collected data enables more personalized therapies and optimized orthopedic products in the long term.
The Triangle.ai system, developed in collaboration with LMU Munich, consists of a patient app and a coach web application and is designed for women who have recently been diagnosed with gestational diabetes. Over the course of six months, it helps new mothers establish a healthy lifestyle with a focus on exercise, nutrition, and stress reduction. An online coach guides users and promotes sustainable behavioral changes through evidence-based, digital support.
By utilizing automatic data collection and AI-powered analysis, Triangle.ai achieves a new level of quality and user experience. Health and nutrition data can be automatically imported from apps and monitoring devices; the coach interacts in real time via a voice model; and treatment plans and challenges are optimized individually and based on data.
Digital transformation is making the workplace faster, more connected, and less physically active—leading to increased mental stress and physical discomfort caused by prolonged sitting. To counteract this, an AI-powered short-break system was developed as a desktop application that integrates preventive prompts into everyday life, thereby enhancing health, well-being, and productivity.
The AI customizes content, presents it in a pedagogically effective way, and delivers the right prompt at the right time. Several short interactions per day promote targeted recovery, increase health awareness, and support sustainable behavioral changes.
The BMBF-funded project “My-Reha digital” developed a software system for personalized, cross-sector rehabilitation following knee replacement surgery. It addresses gaps in care through intelligent, data-driven exercise plans. AI-powered software uses sensor data to create individualized, continuously optimized training plans based on scientific body models and an evidence-based exercise catalog. Medical professionals can interactively adjust the plans to ensure the optimal course of therapy. My-Reha digital combines machine-based data analysis with medical expertise, thereby enabling continuously adapted, professional post-treatment care.
In collaboration with partners from research, industry, and healthcare, a digital therapy system was developed to support young scoliosis patients during their brace treatment. Since the success of the therapy has traditionally depended heavily on the patients’ discipline and self-awareness, the new system is designed to significantly improve the process.
A smart brace equipped with pressure and stretch sensors continuously monitors fit and wear patterns. The data is transmitted via an app to an analytics platform, where AI algorithms evaluate brace wear in real time and provide motivational feedback. Gamification elements further promote treatment adherence.
This provides doctors and medical supply stores with objective information for precise adjustments, while the collected data enables more personalized therapies and optimized orthopedic products in the long term.
The Triangle.ai system, developed in collaboration with LMU Munich, consists of a patient app and a coach web application and is designed for women who have recently been diagnosed with gestational diabetes. Over a period of six months, it helps new mothers establish a healthy lifestyle with a focus on exercise, nutrition, and stress reduction. An online coach guides users and promotes sustainable behavioral changes through evidence-based, digital support.
By utilizing automatic data collection and AI-powered analysis, Triangle.ai achieves a new level of quality and user experience. Health and nutrition data can be automatically imported from apps and monitoring devices; the coach interacts in real time via a voice model; and treatment plans and challenges are optimized individually and based on data.
Digital transformation is making the workplace faster, more connected, and less physically active—leading to increased mental stress and physical discomfort caused by prolonged sitting. To counteract this, an AI-powered short-break system was developed as a desktop application that integrates preventive prompts into everyday life, thereby enhancing health, well-being, and productivity.
The AI customizes content, presents it in a pedagogically effective way, and delivers the right prompt at the right time. Several short interactions per day promote targeted recovery, increase health awareness, and support sustainable behavioral changes.
When standard tools aren’t enough…
We develop customized AI solutions for your specific challenge.
Send us a message
We look forward to getting to know you!
