MuSES

MuSES

ThermoAnalytics
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+

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About

Electro-optic and infrared renderings in MuSES achieve global benchmark accuracy through a stepwise workflow – beginning with heat sources such as engines, exhaust, bearings, and electronics, followed by an in-band diffuse radiosity solution. Then place your sensor at range and render multi-bounce, spectrally-summed radiance values, with DeltaT-RSS contrast metrics. Sensor response curve handy? Import it and see what you’ve been missing. With MuSES, you have reality at your fingertips. Because MuSES covers physics all the way back to heat sources and environmental loads, you can manage thermal signature contrast and evaluate control kits for low observable design in any global location. Heat shields, cooling schemes, and even camo surface treatments can be tested and evaluated for in-band radiance, replete with atmospheric attenuation along sensor line-of-sight. Triage and prioritize your engineering with MuSES early in the development cycle.

About

Muse Wonder Full is an advanced artificial intelligence foundation model developed by Meta for complex reasoning, autonomous agent workflows, software engineering, and professional knowledge work. As part of the Muse Wonder model family, it is designed to handle demanding tasks that require sustained reasoning, contextual understanding, and multistep execution. The model incorporates Active Memory to retain important information across conversations and retrieve relevant context when needed. Its Active Focus capabilities support long-running assignments by exploring alternative approaches, resolving obstacles, and adapting to changing requirements. Muse Wonder Full also supports software development, legal and financial analysis, business workflow automation, and agentic interactions with external tools. The model is available to Muse Code subscribers and has been evaluated on benchmarks covering coding, memory, professional tasks, and general problem-solving capabilities.

Platforms Supported

Windows Supported
Mac Not Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies seeking a complete EO/IR signature simulation software

Audience

AI developers, software engineers, researchers, technical professionals, enterprise development teams, and knowledge workers requiring advanced reasoning, long-running agent workflows, complex software development, and contextual assistance with professional tasks

Support

Phone Support 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 Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$50/month
Free Version Not Supported
Free Trial Not 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:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5

Pros & Cons from Real Users

Pros

  • I can give it a big coding or research task and it does a better job staying focused, recovering when something goes wrong, and actually finishing the job instead of stopping halfway through.

Cons

  • The downside is access. Right now Wonder Full is limited to Muse Code subscribers rather than being broadly available through the Meta Model API, so it is harder to plug directly into custom apps and agent stacks.

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

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

Company Information

ThermoAnalytics
Founded: 1996
United States
www.thermoanalytics.com/muses

Company Information

Meta
Founded: 2004
United States
meta.ai/

Alternatives

C-Radiant

C-Radiant

Aechelon Technology

Alternatives

MAK ONE

MAK ONE

MAK Technologies
Muse

Muse

Microsoft

Categories

Simulation Supported

Categories

AI Coding Models Supported
AI Models Supported
Foundation Models Supported
Multimodal Models Supported

Integrations

.NET Not Supported
Cheaper Inference Not Supported
Claude Code Not Supported
Codex CLI Not Supported
Facebook Not Supported
Go Not Supported
Gray Swan Not Supported
Instagram Not Supported
JavaScript Not Supported
LangChain Not Supported
Meta AI Not Supported
Meta Model API Not Supported
Muse Not Supported
Muse Video Not Supported
OpenClaw Not Supported
Python Not Supported
Rust Not Supported
Scala Not Supported
WhatsApp Not Supported
XML Not Supported

Integrations

.NET Supported
Cheaper Inference Supported
Claude Code Supported
Codex CLI Supported
Facebook Supported
Go Supported
Gray Swan Supported
Instagram Supported
JavaScript Supported
LangChain Supported
Meta AI Supported
Meta Model API Supported
Muse Supported
Muse Video Supported
OpenClaw Supported
Python Supported
Rust Supported
Scala Supported
WhatsApp Supported
XML Supported
Claim MuSES and update features and information
Claim MuSES and update features and information
Claim Muse Wonder Full and update features and information
Claim Muse Wonder Full and update features and information