Artificial Intelligence for
Life Science and Healthcare
We support biotech, pharma and medtech companies moving forward with artificial intelligence technology.
Clients
Services
Dr. Paul von Bünau
Managing Director (CEO)
→ Profile
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The advent of artificial intelligence creates new opportunities and threats. Rather than jumping straight into ue cases, formulating a winning starts with asking: what could this new technology mean for us? We support you from initial orientation to execution and organizational change.
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Progress in artificial intelligence opens new opportunities for organizations to create unique proprietary technology for strategic advantage. We support you from discovery, proof-of-value and design to building and operating AI-enabled solutions that deliver on their strategic intent.
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“Value from data and AI” is easier said than done, as high-level narratives fail to connect with the nitty-gritty, and technical innovation must not mean business. Digging deeper, we identify tangible opportunities for portfolio companies, and realise their value quickly.
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Market access and pricing is the crucial last-mile of bringing innovative health technology to patients. Dictated by the authorities’ requirements, this is an area abundant with mundane workflows perfectly suited to augmentation by AI. We accelerate your work with custom-built tools.
Julian Beimes
Senior Consultant
julian.beimes@idalab.de
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Realising the potential of AI depends on an integrated strategy for regulatory compliance. To not get stuck between proof-of-concept and product, medical device and AI regulation, as well as data protection and market access must be addressed early on. We support you breaking through.
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Despite their proximity to patients and data, turning medical devices’ privileged position into a strategic advantage can be challenging due to legacy technology, regulation, a tech-focused culture and established care models. We help you move forward.
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Daily operations in healthcare run on deeply embedded legacy IT systems. Integrating innovative solutions into these environments is complex but essential for actually reaching the bedside. We retrofit AI into what already works.
Benjamin Häusler
Senior Consultant
benjamin.haeusler@idalab.de
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The power of proteomics to explore uncharted biochemical territory has enormous promise. As the cycle time from data to insights is what drives success in discovery, the analysis pipeline becomes crucial. Focusing on the needs of early-stage biotechs, we build tailored analysis infrastructure that is flexible, fast and reliable.
Simone Vobis
Independent advisor
simone.vobis@idalab.de
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Most AI initiatives fail not because of technology, but because of people. Fear of obsolescence, ingrained habits, and resistance to change create invisible barriers that derail even the most sophisticated technical solutions. Rather than treating organizational factors as an afterthought, we approach AI transformation through the lens of human systems. We support you from initial stakeholder mapping and resistance analysis to embedding AI workflows into daily operations and creating sustainable change momentum. Success requires explaining not just the "what" but the "why now," modeling new behaviors from leadership down, and systematically rewiring organizational systems to reinforce AI adoption rather than revert to familiar patterns.
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In the end, it is company leaders who determine whether AI integration succeeds or becomes another expensive experiment. Generic leadership training fails to address the specific challenges of AI transformation: navigating technical uncertainty, managing workforce anxiety, and maintaining operational continuity during technological transition. We develop customized training programs that address your specific organizational starting point and transformation challenges. We support you from leadership readiness assessment and skill gap analysis to hands-on scenario planning and change execution capabilities, ensuring your leadership team can confidently guide AI integration while maintaining team cohesion and business performance.
Client stories
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How Kintiga uses Generative AI to accelerate HTA Value Dossier Compilation
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How a drug discovery startup used AI to read 10,000 papers and zero in on their ideal targets
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How Matchpoint Therapeutics accelerated discovery by fusing siloed data into a unified pipeline
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Precision Drug Dosing Engine for Millions of Patients
Leading provider of dialysis products and services for CKD patients
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AI-driven Emerging Technology Radar for Pharma R&D and M&A
Multinational pharma and diagnostics company
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Driving the transformation from Data Warehouse to Data Product team
Medical device manufacturer in the cardio-vascular space
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Bifunctional Degrader Target Discovery Engine
Clinical-stage biotech
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Data & AI Asset Positioning for Biotech IPO Preparation
Clinical-stage Biotech
What our clients say
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“idalab have worked seamlessly with our research leaders to implement a target discovery engine that captures our unique insight but can be scaled across biological classes. Pragmatic and cutting-edge. Great team!”
Jonathan Montagu
CEO
HotSpot Therapeutics -
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“It is a pleasure working with the idalab team on our data and machine learning pipeline. They are an outstanding strategic partner, collaborating seamlessly with our science team. Fast, clear communication, structured – yet always happy to adapt ad hoc, if necessary. We are looking forward to continuing the collaboration.”
Suresh Singh, PhD
SVP Computational Science
Matchpoint Therapeutics -
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”Working with the idalab team was truly amazing and inspiring. Experienced as they are, they demonstrated all but telepathic abilities, immediately understanding our project’s requirements. Integrating data/AI and biology know-how, idalab helped us find innovative solutions to hard challenges: a true (and fun!) creative partnership. Highly recommended!”
Dr. Markus Rinecker
CMO/CFO
mbiomics
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