AI in Chemicals & Pharma

In chemicals and pharma, the next performance leaps come from combining domain expertise with GenAI and agentic systems: intelligent assistants that support teams, for example, in regulatory intelligence, maintenance planning, technical documentation, safety data sheet creation, deviation analyses, quality investigations, and knowledge management — always with the right governance, validation strategy, and traceability.  
 
In production, AI enables the next level of maturity: sensor-based batch quality assurance, predictive maintenance, energy and yield optimization — and, in suitable scenarios, even autonomous batch production. This strengthens your competitiveness despite skills shortages and cost pressure.
 
We support you end-to-end: from strategy and development to integration and stable operations. No one-size-fits-all solutions, only what your specific use case truly needs.
 
Our promise: measurable business value — and a clear ROI for every technology deployed.  
 
You want to unlock untapped potential across your value chain?
Talk to our experts, we look forward to the exchange.

ContactAbout Alexander Thamm [at]

Question: I see that AI has a lot of potential in the chemicals and pharmaceutical industries, but I haven’t used it so far because I don’t know what requirements different systems must meet to comply with current and future regulations. How can [at] help?

Answer: In our solutions, compliance is embedded in the technology. This means we take existing regulations into account already during the design and development of every AI system and weigh requirements carefully. Compliance is therefore not treated as a purely theoretical consideration — it is built into the technical architecture and implementation. This ensures our solutions are legally compliant and can be deployed even in highly regulated environments. 

Q: I would like to use AI, but I have concerns about data protection. I don’t want my (lab) data to end up with third parties. How can I use AI securely?

A: Whether it’s personal (customer) data or laboratory data — we incorporate data protection across every area. First, data protection is a compliance topic, which we address by considering the relevant regulations. Second, especially in chemicals and pharma, data protection can secure a competitive advantage by ensuring internal (lab) data does not leave the organization. To prevent this, for example, we build on-premises solutions instead of using commercial cloud offerings. 

Q: We need an AI partner who understands our industry. What experience does [at] have in this area?

A: We have delivered more than 60 projects in chemicals and pharma across Europe — from R&D to sales, and from strategy to implementation. We have successfully worked with many DAX corporations, mid-sized companies, and niche providers. Our teams have delivered successful data and AI projects across many areas of the chemical industry, including additives, silicones, agrochemicals, pharmaceuticals, coatings, membranes, adhesives, and laboratory instruments. Our experts are regularly featured in leading national and international industry media and are active in industry associations, including the VCI.