- Connectivity to all types of industrial data
- Scalable for almost any process environment
- Compliance with 21 CFR Part 11 and EU Annex 11
- Services and support
This is our foundation for being the preferred industrial analytics platform and the hub for building and running analytical solutions that address challenges across industries. No process infrastructure or tech ecosystem is the same. That is why our platform is flexible, scalable and easy to integrate with existing control systems and processes you already have.
Our platform is optimised for real-time data streaming and analysis of data from multitudes of systems and sensors to empower users with easy to act on insights in real time. Stream and analyse all types of data like sensor, process and quality in real-time with direct import from analysers or through connectors like OPC, OSI-PI and ODBC.
Powered by the same platform, everyone from R&D to production to management share the same information tailored for their different roles and actions. Linking R&D and production simplifies the move from lab to pilot to production and reduces time to value dramatically. And all of this happens on the platform which is compliant with 21 CFR Part 11 and EU Annex 11.
Continuous improvement approach
The best approach to data-based value creation combines data, domain expertise and science-based analytics. Through our exploratory approach domain experts can leverage purpose-built analytics to optimise processes and efficiency, improve product quality and transform operations.
Our proprietary framework for exploring analytics questions combines well established and proven scientific practices with powerful multivariate analysis for problem solving, including unique capabilities for spectroscopy, chemometrics and image analysis, offering a faster and more precise assessment of composition, physical, and sensory properties of a product.
This allows scientists, analysts and engineers to easily analyse complex data and use their domain expertise to discover insights that automated analysis methods simply miss, while building and validating analytical models for optimising product quality and process performance.
This approach supports the Cross-Industry Standard Process for Data Mining and provides documentation needed to meet regulatory requirements.
- Scientific practices
- Multivariate problem solving
- Framework for exploring analytics questions
- Validated analytical models
- Purpose-built analytics for problem solving and optimisation
- Monitor and predict process and product quality outcomes
- Real-time data streaming and analysis
- Simplifies the move from lab to pilot to production
Analytics that solve complex problems
Our industrial analytics software is developed to solve complex real-world problems using purpose-built analytics. Running pre-built analytical models on our real-time platform managers and their teams will be alerted about unwanted process behavior in time to prevent them from ever happening.
The analytical models are pre-built through our exploratory approach using scientific practices and powerful multivariate analysis, including unique capabilities for spectroscopy, chemometrics and image analysis, offering a faster and more precise assessment of composition, physical, and sensory properties of a product. This allows domain experts to leverage their knowledge to formulate new products, optimise raw materials in existing products, improve key properties or quality attributes and much more. Or make a digital twin of the process environment to optimise process efficiency and end-product quality or find root causes for process and product quality issues.
Run the completed models with real-time data streaming in a process environment to monitor and predict process and product quality to ensure every product sent to market meet the required properties. Operators will get detailed warnings about quality or inconsistency problems they can act on immediately to avoid costly problems. No matter if its mechanical, condition based or even down to small differences in the raw materials used.
Linking R&D and production on the same platform simplifies the move from lab to pilot to production and reduces time to value dramatically.
Smarter decisions with insights that solves problems
With all the hype around digitalisation, artificial intelligence and IIoT, what is missing are turnkey solutions to solve complex real-world problems, leveraging the knowledge of your domain experts. Solutions that enables collaboration and secures knowledge transfer by linking R&D to manufacturing. And solutions that deliver insights to optimise yields, performance and profit.
The solutions powered by our industrial analytics platform provides all of this, empowering your organisation to make smarter decisions that improves outcomes. The solutions effectively address specific challenges, providing timely insights to the people who need them to quickly solve problems and accelerate results.
Insights are created by real-time data streaming and analysis from the process environment and presented through interactive dashboards and intuitive control charts so operators can handle quality or inconsistency problems immediately to avoid costly problems. Powered by the same analytics platform, your organisation will share the same information tailored for different roles and actions with easy to act on insights for data scientists, process engineers, process operators, quality managers and managers.
That way you can optimise the entire value chain from lab to production to increase collaboration and efficiency, generating greater impact and accelerated outcomes.
- Addressing specific challenges
- Insights tailored for different roles
- More time to act with smarter analytics
- Customisable set of analytical solutions