Quaisr: Simulation for the machine-learning era.

your physical world

Digital twins

Simulation for the machine-learning era

We build modular infrastructure components for the full digital-twin lifecycle.

Collaborative simulation: Develop simulations with your team using our cloud editor and sandboxed development environment.
Existing data sources: Power simulations with integrations to enterprise data lakes, data warehouses and event streams.
Operational simulation: Expose simulations as API services using our managed service, API and SDK toolkits.
Fully-featured digital twins: Stream live data in and out of online simulations.
Integrated services: Couple simulations to machine-learning algorithms using modular plugins.
Develop in-house solutions: Build custom apps using low-code frameworks and our managed API.

The Quaisr team spans engineering, machine-learning, and cloud-native development. We grew out of a shared frustration with existing tooling.

Omar Matar
CEO
Vice Dean of Engineering at Imperial College London. Professor of Multiphase Fluid Dynamics.
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Lachlan Mason
CTO
Trained at Data61, the Alan Turing Institute and the Australian Antarctic Division. Keen interest in systems programming, including the Golang and Rust ecosystems. PhD in chemical engineering.
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Indranil Pan
CSO
Group Leader at the Alan Turing Institute and Imperial College Research Fellow. Keen interest in uncertainty quantification, machine learning and applied statistics. PhD in systems engineering.
Richard Craster
COO
Dean of Faculty of Natural Sciences at Imperial College London. Professor of Applied Mathematics.
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Ashley Unitt
Chair
Cloud technology pioneer. Co-founded, scaled and sold NewVoiceMedia SaaS company.
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