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Cloud‑native orchestration for computational workflows in modeling, analysis, and simulation

Quantinuity simplifies time-consuming, error-prone, and manual engineering workflows by automating data transfer and execution logic so you can focus on interpreting results and making important decisions. Free yourself from the hassle of data transcription, the hardship of configuration management, and the headache of local software conflicts in your analysis toolchain. Join today!

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Automate your analysis

Quantinuity converts desktop apps into web apps. It orchestrates the execution of parametric workflows by remotely performing each computational step as an isolated application in a software container. Engineers and analysts waste countless hours wrangling data, tweaking configuration settings, and writing fragile scripts to locally execute their toolchain. There is a better way to achieve data continuity.

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Digital engineering for digital natives (and digital wannabes)

Collaborate in real-time to build, execute, and analyze quantitative workflows for modeling, analysis, and simulation without manually provisioning hardware, installing software, or transcribing data. Point and click in the browser or use the web API to integrate with other platforms. Quantinuity can be used as an execution engine for model-based systems engineering (MBSE) frameworks; or it can form the backbone of a digital transformation from legacy processes to modern, internet-enabled applications. Whether your digital ambitions are big, small, or somewhere in between, Quantinuity can help you take the next step. Contact us to explore the possibilities!

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Mix and match, configure or customize

Build multi-fidelity and multi-disciplinary workflows using mixed-architecture, mixed-machine, and mixed-resource computer platforms. Choose an application using your favorite programming language. Or choose several. Configure your workflow using existing applications and models. Or build your own. Quantinuity works with any programming language and any application that can be installed in a software (e.g. Docker) container.

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