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 solutions.
- Chemicals
- Reduce physical experimentation.Supply chain carbon footprint.Virtual laboratory.
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- 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
Trusted by
Press releases
• Quaisr is working with BAE Systems and Digital Catapult for sustainable manufacturing Read
• Quaisr has been funded by the European Innovation Council for digital twins in healthcare Read
• Quaisr was selected for the 2023 AWS Defence Accelerator Read
• Quaisr joined the 2023 Aerospace Xelerated cohort to unlock value for industrial partners Read
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.
![An engineer's guide to Active Learning: Training predictive models efficiently](/_next/image?url=%2Fassets%2Factive-learning.png&w=3840&q=75)
![Paula Pico](/_next/image?url=%2Fassets%2Fteam%2Fpaula-pico.jpg&w=3840&q=75)
![Juan Pablo Valdes](/_next/image?url=%2Fassets%2Fteam%2Fjuan-pablo-valdes.jpg&w=3840&q=75)
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.
![Forging the Future: Insights from the Digital Manufacturing Summit in London](/_next/image?url=%2Fassets%2Fai.jpeg&w=3840&q=75)
![Assen Batchvarov](/_next/image?url=%2Fassets%2Fteam%2Fassen-batchvarov.jpg&w=3840&q=75)
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.
![Design of experiments: an introduction](/_next/image?url=%2Fassets%2FDOE-image.jpeg&w=3840&q=75)
![Paula Pico](/_next/image?url=%2Fassets%2Fteam%2Fpaula-pico.jpg&w=3840&q=75)
![Juan Pablo Valdes](/_next/image?url=%2Fassets%2Fteam%2Fjuan-pablo-valdes.jpg&w=3840&q=75)
Paula Pico
Juan Pablo Valdes
The trade-off: Linking commercial process simulations with AI-based multi-objective optimisation
A story using Quaisr to connect multi-objective optimisation with a styrene production process example in gPROMS
![The trade-off: Linking commercial process simulations with AI-based multi-objective optimisation](/_next/image?url=%2Fassets%2Ftrade-off-image0.png&w=3840&q=75)
![Assen Batchvarov](/_next/image?url=%2Fassets%2Fteam%2Fassen-batchvarov.jpg&w=3840&q=75)
Assen Batchvarov
System Identification for Smart Maintenance: A Practical Example
A practical example demonstrating how practitioners can use the Quaisr platform for system identification in the context of anomaly detection.
![System Identification for Smart Maintenance: A Practical Example](/_next/image?url=%2Fassets%2Flink-live-data.png&w=3840&q=75)
![Paula Pico](/_next/image?url=%2Fassets%2Fteam%2Fpaula-pico.jpg&w=3840&q=75)
![Juan Pablo Valdes](/_next/image?url=%2Fassets%2Fteam%2Fjuan-pablo-valdes.jpg&w=3840&q=75)
Paula Pico
Juan Pablo Valdes
The art and science of prevention — Real-time system identification for smart maintenance
Quaisr is enabling business leaders and practitioners to advance predictive maintenance and adopt data streaming within their organisations.
![The art and science of prevention — Real-time system identification for smart maintenance](/_next/image?url=%2Fassets%2Fsmart-maintenance-image.png&w=3840&q=75)
![Paula Pico](/_next/image?url=%2Fassets%2Fteam%2Fpaula-pico.jpg&w=3840&q=75)
![Juan Pablo Valdes](/_next/image?url=%2Fassets%2Fteam%2Fjuan-pablo-valdes.jpg&w=3840&q=75)
Paula Pico
Juan Pablo Valdes
Black Holes & Simulations
Quaisr is empowering scientists to interpret and understand these gravitational-wave signals.
![Black Holes & Simulations](/_next/image?url=%2Fassets%2Fgravitational-waves.png&w=3840&q=75)
![Madeleine Hall](/_next/image?url=%2Fassets%2Fteam%2Fmadeleine-hall.jpg&w=3840&q=75)
Madeleine Hall
Faster innovation in the fight against cancer
Quaisr technology is enabling engineers at Multiwave Metacrystal to automate complex physics simulations and integrate them with statistical and machine-learning algorithms.
![Faster innovation in the fight against cancer](/_next/image?url=%2Fassets%2Fpet-scanner.png&w=3840&q=75)
![Assen Batchvarov](/_next/image?url=%2Fassets%2Fteam%2Fassen-batchvarov.jpg&w=3840&q=75)
Assen Batchvarov
Your digital twins must answer three fundamental questions
The use of live data and simulations for the Apollo 13 crew's safe return to Earth is widely recognised as the first real-world use of digital twins.
![Your digital twins must answer three fundamental questions](/_next/image?url=%2Fassets%2Fthree-questions-cropped.png&w=3840&q=75)
![Assen Batchvarov](/_next/image?url=%2Fassets%2Fteam%2Fassen-batchvarov.jpg&w=3840&q=75)
Assen Batchvarov