MuSES

MuSES

ThermoAnalytics
+
+

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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 is a frontier artificial intelligence model developed by Meta for personal assistance, professional workflows, software development, and autonomous agent tasks. The model combines Active Memory, which retrieves relevant information from previous conversations, with Active Focus, which supports sustained execution of complex, multistep assignments. Muse Wonder can assist with research, document analysis, financial and legal information, software engineering, and business process automation. Its agentic capabilities enable it to work across applications, use contextual information, adapt to obstacles, and request clarification or approval when necessary. The model supports coding activities ranging from small application development to complex software projects involving repeated testing and revision. Muse Wonder is available through the Meta Model API and Muse Code, with additional integration into Meta's Muse assistant planned for future releases.

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

Software developers, AI engineers, researchers, business professionals, knowledge workers, enterprise teams, and individuals seeking advanced AI assistance for complex reasoning, software development, personalized workflows, and autonomous task execution

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

$4 per 1M tokens (input)
Input: $4 per 1M tokens
Output: $20 per 1M tokens
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

  • It feels much better at keeping track of what I am trying to accomplish across longer coding, research, and agent workflows instead of slowly losing the thread. Active Memory is especially useful. The model does a better job carrying important context forward, which makes extended projects feel less like repeatedly briefing a new assistant. I also like the new Active Focus approach. Wonder feels more deliberate about working toward the actual goal instead of getting distracted by side issues, which matters a lot when I give an agent something that takes many steps to finish. The coding ability is strong too. Meta is positioning Wonder against models like GPT-6 Astra and Claude Opus 5.5, and early reporting says it is especially competitive in software development and professional agentic work.

Cons

  • No real cons so far. I am still not sure how efficient pricing is.

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

C Not Supported
C++ Not Supported
Claude Code Not Supported
Codex CLI Not Supported
Continue Not Supported
Dart Not Supported
HTML Not Supported
Instagram Not Supported
Kotlin Not Supported
Meta Model API Not Supported
Model Context Protocol (MCP) Not Supported
Muse Image Not Supported
Odysseus Not Supported
OpenClaw Not Supported
OpenCode Not Supported
Python Not Supported
TypeScript Not Supported
Vercel AI SDK Not Supported
XML Not Supported
YAML Not Supported

Integrations

C Supported
C++ Supported
Claude Code Supported
Codex CLI Supported
Continue Supported
Dart Supported
HTML Supported
Instagram Supported
Kotlin Supported
Meta Model API Supported
Model Context Protocol (MCP) Supported
Muse Image Supported
Odysseus Supported
OpenClaw Supported
OpenCode Supported
Python Supported
TypeScript Supported
Vercel AI SDK Supported
XML Supported
YAML Supported
Claim MuSES and update features and information
Claim MuSES and update features and information
Claim Muse Wonder and update features and information
Claim Muse Wonder and update features and information