Prism

Prism

Navier AI
+
+

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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.

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.

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

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

Audience

Plants and companies requiring an open-source platform to improve their Model Predictive Control (MPC) in their buildings

Audience

Mechanical, aerospace, and hardware engineers, simulation/CAE analysts, and engineering teams at aerospace, automotive, robotics, energy, battery, and manufacturing companies.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Free Version Supported
Free Trial Not Supported

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

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

MPCPy
United States
github.com/lbl-srg/MPCPy

Company Information

Navier AI
Founded: 2023
United States
navier.ai/prism

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RecurDyn

RecurDyn

FunctionBay
COLUMBO

COLUMBO

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INCA MPC

INCA MPC

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AVEVA APC

AVEVA APC

AVEVA
FEATool Multiphysics

FEATool Multiphysics

Precise Simulation

Categories

Categories

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
Notion Not Supported
Onshape Not Supported
Python Supported
Sentry Not Supported
Slack Not Supported
Smartsheet Not Supported
Ubuntu Supported
monday AI work platform Not Supported

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
Notion Supported
Onshape Supported
Python Not Supported
Sentry Supported
Slack Supported
Smartsheet Supported
Ubuntu Not Supported
monday AI work platform Supported
Claim MPCPy and update features and information
Claim MPCPy and update features and information
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Claim Prism and update features and information