PrismNavier AI
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Related Products
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About
MPCPy is a Python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input. While MPCPy provides an integration platform, it relies on free, open-source, third-party software packages for model implementation, simulators, parameter estimation algorithms, and optimization solvers. This includes Python packages for scripting and data manipulation as well as other more comprehensive software packages for specific purposes. In particular, modeling and optimization for physical systems currently rely on the Modelica language specification.
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About
Prism is Navier AI’s desktop AI engineering platform for hardware, mechanical, aerospace, and other engineering teams. It combines parametric CAD, 3D viewing, physics simulation, code editing, and reporting in one application. Users can describe a part or study in natural language, create or refine CAD, and use AI agents to configure and run physics solvers, write scripts, inspect results, and generate plots, dashboards, reports, or slides. The solver catalog includes 12 solver families, such as OpenFOAM, SU2, CalculiX, Elmer, Project Chrono, and OpenModelica, plus Navier AI’s Ferro solver. Engineers can import STEP files, review scripts, meshes, and solver inputs, and run multiple agents in parallel to explore designs. Prism installs on Windows, macOS, and Linux; local solver workflows run on the user’s computer. The agent requires an internet connection and sends the content it reads to Navier AI’s model backend. Optional cloud compute can run approved solver jobs.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Plants and companies requiring an open-source platform to improve their Model Predictive Control (MPC) in their buildings
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Audience
Mechanical, aerospace, and hardware engineers, simulation/CAE analysts, and engineering teams at aerospace, automotive, robotics, energy, battery, and manufacturing companies.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
$500/seat/month
Prism costs $500 per seat per month. Agent usage is metered by organization, with token counts, calls, and costs visible in Settings → Usage. Optional engineering services are scoped and priced per project.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationMPCPy
United States
github.com/lbl-srg/MPCPy
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Company InformationNavier AI
Founded: 2023
United States
navier.ai/prism
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Confluence
Not Supported
GitHub
Not Supported
GitLab
Not Supported
Jira
Not Supported
LangSmith
Not Supported
Linear
Not Supported
Microsoft OneDrive
Not Supported
Microsoft Outlook
Not Supported
Microsoft Teams
Not Supported
Model Context Protocol (MCP)
Not Supported
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Integrations
Confluence
Supported
GitHub
Supported
GitLab
Supported
Jira
Supported
LangSmith
Supported
Linear
Supported
Microsoft OneDrive
Supported
Microsoft Outlook
Supported
Microsoft Teams
Supported
Model Context Protocol (MCP)
Supported
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