What is MuseNet?
We have introduced MuseNet, a sophisticated deep neural network that can generate 4-minute compositions using ten unique instruments, effortlessly integrating genres from country music to the timeless works of Mozart and even the legendary tunes of the Beatles. Instead of being explicitly programmed with musical principles, MuseNet discerns and internalizes patterns of harmony, rhythm, and stylistic nuances by predicting the next note in an extensive database of MIDI files. This cutting-edge model utilizes the same unsupervised learning techniques as GPT-2, a powerful transformer model aimed at forecasting the subsequent element in a sequence, applicable to both audio and text. With MuseNet's ability to grasp various musical styles, we can produce distinctive combinations of musical creations. We look forward to seeing how musicians, as well as individuals without formal training, will creatively utilize MuseNet to generate original works! Users have the option to choose a particular composer or style, and they may start with a familiar piece, enabling them to explore the diverse spectrum of musical styles that the model can generate. This not only enhances artistic creativity but also provides a platform for innovative experimentation in the world of music. The versatility and adaptability of MuseNet promise to inspire countless new musical adventures.
Pricing
Free Trial Offered?:
Yes
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Muzaic: AI Music Architect for Professional Video Production
Muzaic is the professional AI music architect designed to eliminate the "40-minute hunt" for stock music. Built for agencies and serial creators, Muzaic transforms sound design from a manual search into an automated matching workflow. Our AI analyzes your video’s vibe, tempo, and emotional arc to generate a custom soundtrack in seconds.
Engineered for Business Scale Muzaic is built for marketing teams and creators who need high-quality, recurring content. By automating the audio matching process, teams can reduce sound design time by up to 70%, allowing for rapid scaling of video production without increasing overhead.
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Professional Quality: Studio-grade 192kbps audio that ensures your content feels premium.
Full Compliance: 100% royalty-free for commercial ads, YouTube, and TikTok.
Performance Driven: Synchronized audio improves viewer retention and emotional engagement.
Workflow Consistency: Ideal for maintaining brand style across entire video series.
"Match-First" Pricing Model: We believe you should only pay for what works. Generate and preview unlimited tracks for free.
- One Soundtrack ($2): 1 pro track integrated with your video + 3 AI video analyses.
- Creator ($19/mo): Unlimited downloads and unlimited AI analyses. Best for high-volume agencies.
Technical Advantage: Our AI "watches" your content to ensure the music fits the specific emotion and pace of your project. This moves the needle from "generic background noise" to "strategic audio branding."
Stop searching. Start creating with Muzaic.
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Adobe Firefly is an advanced AI-powered creative platform that transforms how users generate and edit digital content across images, videos, and audio. It enables users to create content using natural language prompts, making the creative process more intuitive and accessible. The platform offers a wide range of tools, including image generation, video editing, generative fill, and text-to-sound effects, all within a unified workspace. Users can work on an infinite canvas, allowing them to explore ideas freely and build complex compositions. Firefly also provides quick action tools such as background removal, cropping, resizing, and format conversion to streamline everyday tasks. The platform supports video editing features like trimming, arranging, and generating new content, enhancing creative flexibility. Users can draw inspiration from a community gallery and remix existing content to create unique outputs. Its user-friendly interface ensures that both beginners and experienced creators can use it effectively. Firefly leverages advanced AI models to deliver high-quality and visually compelling results. It simplifies traditionally complex workflows, reducing the time and effort required for content creation. The platform encourages experimentation and creativity by offering multiple ways to refine and customize outputs. It is suitable for creating content for social media, marketing, and personal projects. By combining powerful AI tools with an intuitive design, Firefly enhances productivity and creative expression. Ultimately, it enables users to bring their ideas to life بسرعة and with professional-quality results.
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Muse Code
Muse Code is Meta’s terminal-based AI coding agent built to take on complex software engineering tasks across large repositories. The agent is powered by Muse Spark 1.2 and is designed to plan code changes, write implementation code, validate results, and support end-to-end developer workflows. Muse Code can coordinate multiple persistent subagents for each task, helping solve difficult problems faster and with less manual intervention. Its architecture uses a simple agent loop enhanced by async background agents that remain active for the full session instead of being spawned only for individual steps. These background agents reduce repeated information gathering, carry out next actions, and communicate back to the main agent when useful. Muse Code’s runtime uses a local event log where model calls, tool runs, approvals, and edits are continuously appended. This event log serves as a single source of truth, making the runtime replay-exact and restart-safe if a crash or interruption occurs. The design allows Muse Code to handle long-running development work without losing progress or context. Muse Code includes bundled skills such as /plan for approval-gated task planning, /grill for stress-testing plans, and /goal for working toward successful completion of a defined objective. Example workflows include interpreting a video input, understanding the requested output, and producing a rich software experience such as a vacation home marketing and booking page. By combining terminal execution, autonomous planning, persistent background agents, replay-safe runtime design, bundled skills, and Muse Spark 1.2 model support, Muse Code helps developers complete ambitious coding tasks with greater reliability.
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Muse Spark 1.1
Muse Spark 1.1 is an advanced multimodal reasoning model from Meta Superintelligence Labs built for agentic work, coding, computer use, tool calling, and multimodal understanding. It is a major upgrade from Muse Spark and is designed to push the performance-efficiency frontier for AI systems that need to plan, reason, act, and coordinate across complex workflows. The model can operate across external apps, native tools, MCP servers, custom skills, browsers, scripts, images, videos, PDFs, audio, and developer environments. Muse Spark 1.1 is especially strong in agentic orchestration, where it can gather context, make plans, delegate work to parallel subagents, and manage execution across multiple steps. As a subagent, it can follow a defined role, use available tools appropriately, and escalate back to a main agent when needed. Its 1 million token context window helps it remember past actions, retrieve information from earlier in a project, and compact long sessions while keeping important details available for later work. For computer-use tasks, Muse Spark 1.1 can navigate unfamiliar interfaces, adapt to changing requirements, and choose whether to click through an interface or write scripts when automation is faster. In software engineering, the model can diagnose complex bugs, implement new features, perform large code migrations, build web applications, inspect screenshots, trace issues to code, and validate fixes. Its multimodal capabilities allow it to inspect visual and audio information, generate detailed image and video captions, create visual-to-code artifacts, and combine perception with action in practical workflows. Developers can access Muse Spark 1.1 through Meta’s new Model API public preview, and everyday users can try it in Thinking mode in the Meta AI app.
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Company Facts
Company Name:
OpenAI
Date Founded:
2015
Company Location:
United States
Company Website:
openai.com/blog/musenet/
Product Details
Deployment
SaaS
Training Options
Documentation Hub
Webinars
Video Library
Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English