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In addition to the listed AI services, we offer further custom solutions on request.
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Your partner for AI development, automation & consulting in Heidelberg.
Around these institutions a thriving biotech and pharma cluster has grown, from spin-offs and Mittelstand specialists to global players, and these knowledge-driven organisations turn to AI to keep pace with the volume of data, documentation, and regulatory work their research generates.
In addition to the listed AI services, we offer further custom solutions on request.
View All Services| Service | For | Outcome | Entry |
|---|---|---|---|
| AI consulting | You do not yet know where AI pays off | prioritised use cases and a roadmap | Workshop from €1,500 |
| AI agent | recurring cases involving documents and decisions | an agent that prepares or completes cases | Fixed price after scoping |
| Automation | fixed processes across several programs | end-to-end workflows without re-typing | Fixed price after scoping |
| GEO, AEO & AI SEO | You want to be named in Google and AI answers | a technical SEO foundation and citable content | Fixed price after scoping |
For Heidelberg's biotech and pharma companies, AI agents can accelerate literature review, structure clinical and laboratory data, and automate the drafting of regulatory and quality documentation, cutting weeks of manual effort from research and compliance workflows. Research groups and university spin-offs use intelligent automation to triage grant applications, summarise publications, and answer internal knowledge queries, while local service firms and the broader Mittelstand deploy assistants for customer support, multilingual correspondence, and back-office processes — all measurable in hours saved and faster turnaround.
With world-class institutions such as the University of Heidelberg, the University Hospital, DKFZ, EMBL, and Heidelberg Technology Park (Technologiepark Heidelberg) clustered in a single city, Heidelberg combines deep scientific expertise with an unusually international, well-educated workforce. This creates a rare opportunity for AI: data-rich research and healthcare organisations, knowledge-intensive professional services, and education providers can all gain disproportionately from automation and language-model assistants — provided the solutions respect the strict data-protection and confidentiality standards that medical and scientific work demand.
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