Basetwo AI
Basetwo is a company dedicated to revolutionizing manufacturing through AI-driven solutions. They focus on process optimization, digital twins, hybrid modeling, and industrial simulation to improve efficiency, sustainability, and product quality across various industries including pharmaceuticals, chemicals, energy, oil and gas, and aerospace. Their mission is to empower process engineers and manufacturers with cutting-edge AI tools that enable smarter, faster, and more resilient manufacturing processes, fostering continuous improvement and operational excellence.
Industries
Nr. of Employees
small (1-50)
Products
AI platform for manufacturing engineers (hybrid digital twin + recommendation engine)
Cloud-enabled platform that combines hybrid digital twins, real-time analytics, optimization engines, and model lifecycle tooling to provide prescriptive recommendations for process control, scale-up, and sustainability improvements.
AI platform for manufacturing engineers (hybrid digital twin + recommendation engine)
Cloud-enabled platform that combines hybrid digital twins, real-time analytics, optimization engines, and model lifecycle tooling to provide prescriptive recommendations for process control, scale-up, and sustainability improvements.
Services
Deployment and integration of AI platform for manufacturing
Implementation and integration of an AI-enabled platform into live plant data systems, including industrial data connectors, model deployment, and operationalization of real-time recommendations.
Digital twin and hybrid model development
Custom development of hybrid digital twins for unit operations (chemical reactors, bioreactors, granulators, distillation columns) to support scale-up, simulation, virtual experimentation, and technology transfer.
Process optimization and decarbonization advisory
Analytics-driven identification of energy and emissions reduction opportunities and implementation of operational recommendations to meet sustainability and cost-reduction targets.
Oral solid dose (OSD) manufacturing process optimization
Process-analysis and model-driven optimization engagements focused on reducing variability and improving consistency in oral solid dose manufacturing through digital twin simulations, real-time monitoring, and control optimization.
Deployment and integration of AI platform for manufacturing
Implementation and integration of an AI-enabled platform into live plant data systems, including industrial data connectors, model deployment, and operationalization of real-time recommendations.
Digital twin and hybrid model development
Custom development of hybrid digital twins for unit operations (chemical reactors, bioreactors, granulators, distillation columns) to support scale-up, simulation, virtual experimentation, and technology transfer.
Process optimization and decarbonization advisory
Analytics-driven identification of energy and emissions reduction opportunities and implementation of operational recommendations to meet sustainability and cost-reduction targets.
Oral solid dose (OSD) manufacturing process optimization
Process-analysis and model-driven optimization engagements focused on reducing variability and improving consistency in oral solid dose manufacturing through digital twin simulations, real-time monitoring, and control optimization.
Expertise Areas
- Hybrid digital twins and physics-informed machine learning
- Process optimization and real-time control (MPC/RTO)
- Pharmaceutical manufacturing optimization (including oral solid dose processes)
- Bioprocessing and biomanufacturing digital twins
Key Technologies
- Hybrid modeling (physics-informed machine learning)
- Digital twins and digital twin lifecycle management
- Model predictive control (MPC)
- Real-time optimization (RTO)