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AI, Simulation & Analysis: Some Thoughts on Altair in Connection with Siemens’ Dotmatics Purchase

Life Sciences/Novo Nordisk and Pfizer are already using Altair tools to sharpen product development. Speaking of Siemens' announced purchase of Dotmatics for $5.1 billion—a specialist in R&D software for the pharmaceutical industry among other things—it is interesting to note that this not only plays well with what the German PLM giant already has in the Life Sciences area. Equally interesting is that the other major acquisition, the now completely cleared the purchase of AI, HPC and Simulation & Analysis company Altair, is of significance in this context. In what way?
Siemens CEO, Roland Busch, pointed out at the time of the purchase that, "Siemens is now creating a world-leading AI-driven PLM software portfolio, as part of Siemens Xcelerator. AI has emerged as a transformative force in various industries, and applications in Life Sciences are becoming increasingly important."
The emphasis he placed on the AI side is interesting; as are the connections to the simulation and analysis domain, where Altair, both in general for AI and specifically for pharmaceuticals, is bringing solutions into the Siemens nest. GENERALLY, because Altair is a pioneer in unleashing the power of AI across the entire product lifecycle, which hones AI-driven simulation technology. By seamlessly embedding AI into design and simulation tools, Altair accelerates exploration and innovation. SPECIFICALLY, because Altair has already developed pharmaceutical-related solutions.
Not least important in the AI context is the role played by Altair's RapidMiner suite, a platform for data analytics and AI. When the latest version was released at the turn of 2024-25, the person who will now head Siemens' new simulation organization, Sam Mahalingam (pictured, former CTO at Altair), said: "By enabling users to build autonomous AI agents that seamlessly integrate graph-based intelligence, machine learning, simulations and business rules, we are now taking the next step with our AI agent framework." The agents he talks about are systems that use AI to achieve goals and perform tasks on behalf of users. They demonstrate reasoning, planning and memory and have a level of autonomy to make decisions, learn and adapt. This is one side of the Altair coin.
The other side is Altair's EDEM software - powered by the Discrete Element Method (DEM) - which simulates and analyzes the behavior of granular materials such as powders, tablets and pellets. The tool is used to model common pharmaceutical manufacturing processes such as mixing, blending, granulation and tablet coating. The technology can provide important insights that lead to optimized processes and innovation in product design. Notable among users of Altair's EDEM solutions are well-known companies such as Pfizer, Novo Nordisk, Vertex and Eli Lilly.
Another interesting aspect of pharmaceutical product realization is the use of digital twins, both for simulation and analysis of the products being developed and for the facilities that manufacture the drugs. How then?

Regarding the use of digital twins for virtual process optimization, this is a still generally underutilized key component of the pharmaceutical industry’s digital transformation strategy.

A recent report from Forrester’s consulting branch, conducted during 2024-2025, concluded, among other things, that only 17% of respondents within the largest global pharmaceutical companies currently use a digital twin of their facility, which means that the pharmaceutical industry is lagging behind other industries in this respect. When it comes to new projects, however, four out of five companies (79%) use digital twins to improve collaboration and precision in design. The respondents were 161 technically responsible decision-makers at pharmaceutical companies with annual profits of at least $1 billion.

A general in-context observation is that few industries have such tough product development and production journeys towards a successful venture as this industry. Developing a drug is usually a process that spans 10-15 years. This includes things like research, discovery and patent application, toxicity studies, pharmacology, clinical trials, product registration and approval, and finally industrial scale-up with manufacturing, marketing and sales. All under very strict safety conditions and extensive regulatory requirements. Seen from this perspective, it is perhaps not so surprising that it is difficult to develop effective holistic models for product realization.

A Particularly Interesting PLM and Automation Potential
However, this conceals an interesting PLM and automation potential, even if development and implementation in themselves are not exactly simple to carry through, but require the combined use of a wide range of technologies, such as physics-based simulation, machine learning, HPC (High Performance Computing), real-time dashboard and IoT. However, here too, Altair can add a lot to the Siemens concept of “the market’s most comprehensive digital twin” that complements a broad solution in this context with optimal AI-powered S&A solutions.
Of course, there is still development and integration work to be done, but the prospects are really good considering what Siemens and Altair historically have been able to produce.

Altair’s model for digital twins in the case of pharmaceutical manufacturing, where machine learning is a component that is added to the digital twin, which can then control its physical counterpart (left) in real time with live data and via IoT.

EDEM – a Sharp S&A Tool for Critical Insights
As for EDEM, the solution is related to Altair’s purchase of DEM Solutions at the end of 2019, which had developed this leading software for simulating bulk materials, a recognized tough branch in the simulation industry, using the Discrete Element methodology (DEM).
Among other things, James R. Scapa, Altair’s founder, thought that this bulk materials simulation software would improve the company’s own solutions for machine and material simulation with the power that EDEM added. This by offering new tools that could provide insight into the interaction between materials such as pellets, tablets, powders, coal and machinery.
These capabilities also shows that the solution is thus not only related to pharmaceutical manufacturing; with its simulation capacity at the system level, Altair was given a sharp tool for critical insights to optimize machine design, material handling and manufacturing efficiency in a wide range of industries. But as mentioned, pharmaceuticals, chemistry and food processing and the agricultural side are relevant areas for the use of this type of simulation, which sounds like a hand in glove connected to what Siemens’ newly acquired Dotmatics is developing: R&D software in medicine, chemistry, life sciences and materials technology.

Danish pharmaceutical giant Novo Nordisk – a user of Altair’s EDEM solution, among others – which is behind the diabetes drug Ozempic and the weight loss drug Wegovy, is far ahead in technological and software terms. As recently as June 2024, the company announced that it is investing $4.1 billion in a new factory in Clayton, North Carolina in the USA.

Provides Pfizer and Novo Nordisk with Deeper Process Understanding
The discrete element method (DEM) is a computational technique that is used to simulate the behavior of granular materials, powders and other particulate systems. It represents the system as a collection of individual particles that interact through contact forces, which enables the study of particle-scale phenomena.
The issue is that efficient handling and processing of particles is crucial for the profitable manufacture of pharmaceutical products. Over 75% of all pharmaceutical products are in solid dosage form and particles are involved in almost every step of the manufacturing process.
Overall, it is about solutions that Altair claims, “develops, distributes and democratizes digital twins for manufacturing processes of pharmaceuticals in oral dosage form with Altair tools such as EDEM, TwinActivate and Panopticon.”

As noted in the introduction, industry leaders such as Pfizer, AbbVie, Novo Nordisk, Vertex, Eli Lilly and others are using the EDEM solution today to:
• Gain a new and deeper understanding of their processes.
• Inform design and scale-up. Reduce reliance on physical prototypes.
• Drive product and process innovation.
• Get products to market faster.

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