The Basetwo Blog

Back to Blog

Top 6 Siemens Competitors in the Pharmaceutical Industry

Kiefer Eaton

7 minutes
Last Updated:
October 20, 2023

Table of Contents

Siemens offers an integrated portfolio of software services and hardware equipment for the pharmaceutical industry, enabling efficient data sharing and collaboration across the entire pharmaceutical enterprise.

While Siemens aids in addressing business needs such as reducing cycle times and accelerating production, there are areas where additional solutions can optimize the process even further.

By harnessing the powerful simulation abilities of hybrid modeling approaches, which enable precise modeling of intricate pharmaceutical systems, and integrating data-driven artificial intelligence (AI) and machine learning (ML) models, we can further enhance the cycle time and production efficiency of the pharmaceutical sector.

Companies have already started to invest in more modern technology. According to the news published in September 2022,  Pfizer announced its intention to make a $20 million investment in AI technology, which could generate returns of up to $110 million over the next five years.

Recently, Sanofi launched an AI center of excellence in Toronto, aligning with global hubs. Focused on advancing data and AI products, it aims to expedite R&D and enhance healthcare accessibility worldwide.

With numerous Siemens competitors, finding a suitable alternative or a complementary solution requires extensive research.

In this article, we will dive into the criteria for selecting the software for the pharmaceutical company, examining the features, pros, and cons of six popular Siemens competitors.

AI in pharmaceutical companies
Figure 1: AI in a pharmaceutical company

Comparison criteria

Process optimization tools enhance efficiency, reduce costs, ensure compliance, and drive innovation in pharmaceutical manufacturing, which is vital for a competitive edge.

When evaluating a process optimization tool for a pharmaceutical company, it's essential to consider some selection criteria:

  1. Data integration: Gathering and integrating data from multiple sources helps identify potential bottlenecks, inefficiencies, and areas for improvement when analyzing data from a single source.
  2. Analytics capabilities: Advanced analytics features enable meaningful insights to be extracted from integrated data, facilitating data-driven decision-making and a deeper understanding of the manufacturing processes.
  3. Real-time monitoring: Enables prompt detection of process deviations or abnormalities, allowing immediate corrective action and minimizing potential risks in heavy electrical equipment.
  4. Process optimization: Facilitated by predictive modeling and simulation functionalities, it enhances efficiency, reduces costs, maximizes output, and equips decision-makers with valuable tools for identifying optimization opportunities and assessing potential scenarios.
  5. Regulatory compliance: Adhering to regulatory requirements protects valuable information, maintains stakeholder trust, and avoids legal implications.

Top 6 Siemens competitors in the pharmaceutical industry

1.  Basetwo

Basetwo emerges as the world's premier process optimization solution, offering unparalleled benefits that address process challenges.

Leveraging Basetwo's platform, pharmaceutical teams and facilities can independently handle the entirety of the modeling value chain, from data ingestion and processing to simulation, optimization, and version control, resulting in enhanced operational efficiency and cost savings in manufacturing and process development. The software eliminates the reliance on external consultants or the need for OEM purchases, giving complete control to the team.

The low-code, intuitive interface and advanced capabilities of Basetwo enable streamlined workflow management, accelerated decision-making, and improved resource allocation.

With Basetwo, pharmaceutical companies can optimize processes effectively, reduce time-to-market for new drugs, minimize costs, and drive significant competitive advantages.

basetwo dashboard
Figure 2: Basetwo's user-friendly interface


  • Easy data ingestion and cleaning from commonly used sources like OSI-PI
  • User-friendly drag-and-drop interfaces for creating AI, mechanistic, or hybrid models
  • Rigorous testing and validation of models for reliable deployment
  • Built-in optimization and process control designed for pharmaceutical applications
  • Empower teams to find optimal control points and conduct in silico experiments


  • Ready-to-use bioreactor, chromatography, and other model templates
  • Advanced integrations with various industrial or lab-based data sources
  • Hybrid modeling capabilities combine multiple technologies, such as traditional machine learning and artificial intelligence, and mechanistic models
  • Can be deployed in an online environment for real-time optimization


  • Lack of features tailored for capacity modeling use cases

2. Applied Materials

Applied Materials provides automation services across various countries worldwide. While its business mainly focuses on semiconductor preparation, some of its solutions benefit similar companies in the oil and gas and pharmaceutical sectors.

Pharmaceutical companies involved in drug R&D, particularly those engaged in clinical trials and fast-track drug approvals, might prefer Applied Materials due to its ability to incorporate last-minute updates.

Using Applied Material's solutions, these companies can enhance their agility and responsiveness in a dynamic industry, quickly adapting to changing requirements and expediting drug development.

applied materials dashboard
Figure 3: Applied material's real-time monitoring interface


  • Assurance of productivity and quality at every step, from process development to production, conserving energy and enhancing efficiency
  • Accelerates time to market by embracing eleventh-hour updates
  • Enhancement of product yield and reduction in variability
  • Predictive maintenance


  • Optimizes operations for heightened efficiency
  • Empower engineers with real-time analytics for informed decisions
  • Utilizes advanced modeling and machine-learning techniques
  • Integrates pre-acceptance testing (PAT) for quality assurance


  • Customization services for integration with existing systems in the pharmaceutical sector may incur additional charges
  • Limited industry-scale features

3. Sartorius (SIMCA/SIMCA Online)

As a top Siemens competitor, Sartorius is tailored for the pharmaceutical company, enhancing efficiency, control, and compliance in pharmaceutical processes.

SIMCA for multivariate data analysis, BioPAT MFCS for bioprocess data management, BioPAT VIA for process analytics, and the SIS platform for integration. However, existing chemical-based pharmaceutical industries with established setups, specific software requirements, or legacy systems aren’t always compatible with the Sartorius tool.

simca sartorious dashboard
Figure 4: Sartorius's platform enables advanced process monitoring and control


  • Analytics and sensors for Uni-/multivariate data gathering.
  • Bioprocess data management.
  • Analytical solutions and innovative analytics.


  • Empower engineers with live control and monitoring capabilities.
  • Tailored for biopharmaceuticals.
  • Employs cutting-edge analytics for gene therapy and vaccine advancements.


  • Tailored towards biopharmaceuticals but with limited applicability towards pharmaceutical companies.
  • More inclined toward research and lab-scale techniques.
  • Additional cost requirements for tool customization according to the existing pharmaceutical industries.
  • Lacks mechanistic modeling, hybrid capabilities, and solutions for R&D teams, limiting its applicability in specific contexts.

4. Quartic AI

Quartic AI is also included in the list of Siemens competitors as it provides data analysis and optimization services to the manufacturing and supply chain industries, focusing on batch processes in pharmaceuticals and transportation.

The Quartic platform can significantly benefit pharmaceutical companies by prioritizing advanced data analytics, predictive modeling, and process optimization. However, it is essential to consider Quartic's compatibility with existing systems and the need for specialized expertise to leverage its capabilities.

quartic ai dashboard
Figure 5: Quartic's batch analytics application using MVDA and predictive modeling


  • Integration of possibly all data sources at the enterprise and application of advanced data analytics
  • Automated AI-based model development for accurate insight into the processes
  • Prediction of the current and future state of operations by the deployment of readily available models


  • Performance analytics leverages data assets to inform decision-making.
  • The platform delivers insights from historical and current data with supports proactive optimization.
  • Through precise process cycle analysis, companies are able to enhance efficiency.
  • The real-time batch monitoring amplifies agile response and improvement.
  • Minimizes cycle loss for streamlined and cost-efficient operations.


  • Expertise required for handling the software
  • No optimization
  • No industry-tailored simulation

5. Aspentech

Aspentech is a world-renowned tool and engineering service provider in the energy sector, and it has recently ventured into deployments within pharmaceutical environments.

These capabilities make it a choice for pharmaceutical industries with complex processes, particularly those involved in advanced drug formulation.

However, the inherent complexity of Aspentech's tool, traditionally designed for oil and gas operations, may make it less suitable for pharmaceutical companies with bespoke unit operations or products. These deployments may require additional capabilities not currently provided by Aspentech.

aspentech dashboard
Figure 6: Aspentech digital twin solution


  • Advanced process modeling and simulations for processes
  • Scenario analysis
  • Process design
  • Predictive modeling
  • Supply chain management by optimizing supply chain operational steps
  • Demand prediction
  • Inventory optimization
  • Asset performance management
  • Proactive maintenance
  • Condition monitoring


  • Strong reputation and expertise in the manufacturing industry.
  • Good customer support
  • Industry-tailored for pharmaceutical environments


  • Complexity, requiring significant training and support.
  • Powerful customization in Aspentech may be necessary for the manufacturing processes in the pharmaceutical industry.

6. Seeq

Despite the lack of actual modeling and optimization capabilities, Seeq can be considered one of the top Siemens competitors due to its advanced analytics capabilities. Seeq offers a time-series descriptive analytics package, providing insights from process data to its customers based on graphs and statistical relationships.

The simplicity of Seeq's platform might be less aligned with pharmaceutical firms with complex unit operations or products, potentially necessitating supplementary features or integrations with traditional simulation and optimization tools.

Fortunately, Seeq can integrate with simulation and optimization platforms like Basetwo, enhancing its capabilities and empowering employees by uniting descriptive analytics with modeling and optimization, resulting in a more comprehensive data-driven solution in the manufacturing industry.

seeq dashboard
Figure 7: Visual of Seeq's process data analytics


  • Provide advanced analytics
  • Data cleansing
  • Machine learning
  • Time series analytics for the manufacturing process
  • Diagnostic analytics
  • Predictive analytics
  • Visualization for understanding the data
  • Advanced trending
  • Availability of advanced editing and distribution options
  • Viewability on mobile devices
  • User comments on additional availability


  • It is easy to connect it with multiple data sources.
  • It has an intuitive dashboard.
  • Seeq is able to handle time series data really well in a way that allows for no coding to be done.
  • Seeq is continually refining its software with new updates.
  • It is great at visualizing time series data.


  • Expertise is required for sophisticated, advanced platforms
  • Data equality and integration challenges depend on the quality and availability of data
  • Data from disparate sources
  • Data inconsistencies
  • The cost of the platform can be a problem for small pharmaceutical sectors, as it is for commercial usage

Comparison Table

comparison table of six siemens competitors


Basetwo stands out as a highly beneficial alternative in the pharmaceutical industry. With the power of its user-friendly interface, advanced modeling capabilities, and robust data integration, Basetwo offers a streamlined approach to process simulation and optimization.

Its ready-to-use templates, comprehensive modeling tools, advanced data integration, and better customer service set it apart from its competitors, Siemens, Quartic, Applied Materials, AspenTech, Seeq, and Sartorius.

Basetwo empowers its customers to optimize their processes, have employees make informed decisions, and drive improvements in operational efficiency and product quality.

With improved efficiency and tailored alternatives to competitors, Basetwo emerges as the preferred third company for unlocking pharmaceutical data's full potential and power.

Contact us today for a demo to drive process optimization and maximize product quality.

Who are Siemens' competitors?

There are various competitors and alternatives to Siemens in the pharmaceutical industry. The top 6 competitors of Siemens in the pharmaceutical industry are Basetwo, Smartfactory Rx, SIMCA, Quartic AI, AspenOne, and Seeq.

What is cGMP?

cGMP stands for “Current Good Manufacturing Practices” and are regulations enforced by the FDA to ensure consistent quality and control of products across industries like pharmaceuticals, food and beverage, and healthcare.

What is CMC in pharma?

CMC stands for Chemistry, Manufacturing, and Controls. In pharmaceuticals, it means ensuring that a drug is made the same way every time. This involves careful steps and procedures to keep quality consistent during the drug manufacturing process.

This is some text inside of a div block.
Back to Blog

Interested in learning more?

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Urna, enim neque vestibulum, pellentesque.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Book a Demo