
Labs don't need another LIMS. They need a complete operating system for modern lab operations - and that's QBench, reshaping everything from order placement through sample processing to automated reporting.
Simple. Powerful. Adaptable. Where other LIMS force labs into rigid structures built on heavy custom code and vendor dependency, QBench moves with you. It bends. It adapts. Your processes evolve, and QBench evolves too.
It adapts to your secret sauce. Every lab has its own workflow, its own rhythm, and QBench respects that with unmatched configurability. You shape the workflows. You define the data fields. You stitch together the automations. QBench's former bench scientists work alongside you throughout, offering expert guidance and workflow suggestions.
It automates the tedious work. File parsers and a robust API connect QBench to the instruments and systems you already run, so data flows on its own. No manual entry. No transcription errors.
It unifies everything in one platform. Real-time inventory. A dedicated portal giving clients instant access to results. Built-in analytics. A QMS module that keeps you audit-ready, always.
QBench helps labs work smarter - cloud-based, secure, and always evolving, like the science it supports.
Learn more
Successfully managing the intricate operations of enterprise manufacturers and distributors is crucial for business growth. Infor M3 stands out as a cloud-centric ERP solution tailored for manufacturing and distribution, utilizing cutting-edge technologies to enhance user engagement and deliver robust analytics across various companies, countries, and sites. Alongside Infor M3, the CloudSuite™ industry solutions offer top-notch functionality for sectors such as chemicals, distribution, equipment, fashion, food and beverage, and industrial manufacturing. To maintain a competitive edge, agility is essential. The latest features provide enhanced data-driven insights and optimized workflows, empowering you to make well-informed decisions swiftly and take decisive action when necessary. Ultimately, embracing these advancements can significantly enhance operational efficiency and responsiveness in today's dynamic market.
Learn more
Osium AI
Osium AI is an advanced software platform that harnesses artificial intelligence to assist industry leaders in speeding up the creation of sustainable, high-performance materials and chemicals. Utilizing an innovative technology founded on over ten years of expertise and numerous AI patents, Osium AI provides a comprehensive solution that addresses all phases of the materials and chemicals development process, including formulation, characterization, scale-up, and manufacturing. This platform empowers users to swiftly predict any material or chemical property within seconds, create optimal research and development experiment plans, and quickly analyze material characteristics and flaws. Additionally, it allows for the optimization of current processes, leading to reduced costs, improved material properties, and lower CO₂ emissions. With its adaptable software, Osium AI is equipped to support a wide range of R&D projects while accommodating the ever-changing demands of the industry. Overall, the platform stands out as a crucial tool for enhancing innovation in materials science.
Learn more
Materials Zone
Transforming materials data into superior products at an accelerated pace enhances research and development, streamlines scaling processes, and optimizes quality control and supply chain decisions. This approach enables the discovery of innovative materials while utilizing machine learning guidance to predict outcomes, leading to swifter and more effective results. As you progress towards production, you can construct a model that tests the boundaries of your products, facilitating the design of cost-effective and resilient production lines. Furthermore, these models can forecast potential failures by analyzing the supplied materials informatics alongside production line parameters. The Materials Zone platform compiles data from various independent sources, including materials suppliers and manufacturing facilities, ensuring secure communication between them. By leveraging machine learning algorithms on your experimental data, you can identify new materials with tailored properties, create ‘recipes’ for their synthesis, develop tools for automatic analysis of unique measurements, and gain valuable insights. This holistic approach not only enhances the efficiency of R&D but also fosters collaboration across the materials ecosystem, ultimately driving innovation forward.
Learn more