Quaisr Platform
Digitalise faster
Maximise the value of existing modelling & simulation efforts through standardisation and connectivity.
Modelling & simulation integration
- Integrate your existing modelling & simulation ecosystem to create end-to-end workflows.
Existing data sources
- Integrate custom analyses with enterprise ERP and PLM systems.
Data-driven decision making
- Connect workflows to built-in optimisation and AI algorithms and unlock simulation-backed decision making.
Knowledge management
- Track history, knowledge and insights in one consistent place.
Rapid no-code app creation
- Share in-house workflows across teams and accelerate democratisation.
Enterprise deployment
- Deploy workflows securely at scale, while governing access, and monitoring uptake and usage for compliance.
Quaisr Solutions
SimOps industrial use cases
Engineering teams use Quaisr to operationalise new solutions.
- Chemicals
- Reduce physical experimentation.Supply chain carbon footprint.Virtual laboratory.
- Learn more
- Consumer Goods
- Reduce physical experimentation.Increase product shelf life.Reduce line breakdowns.
- Learn more
- Energy
- De-risk scenario planning.Offshore wind optimisation.Accelerate carbon reduction targets.
- Learn more
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Posts
Follow our technical progress and contributions.
An engineer's guide to Active Learning: Training predictive models efficiently
This blog post sheds light on how active learning can transcend its reputation as a tool exclusive to the realm of cutting-edge data analysis and can become an essential asset in every engineer's toolkit.
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Paula Pico
Juan Pablo Valdes
Forging the Future: Insights from the Digital Manufacturing Summit in London
On the bright autumn morning of November 23rd, I had the privilege of attending the Digital Manufacturing Summit in the bustling heart of the City of London.
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Assen Batchvarov
Design of experiments: an introduction
An introduction to Design of Experiments (DoE) with examples. Quaisr is enabling organisations to integrate and adopt DoE techniques at any level.
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Paula Pico
Juan Pablo Valdes