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What is Muse for Small Business?

Muse for Small Business is an AI agent offering from Meta that expands Muse with business-oriented skills and integrations for entrepreneurs and small business operators. Muse is designed to do more than answer questions by independently working on assigned tasks, managing projects, and turning broader objectives into concrete actions. A business owner can provide a goal and allow Muse to continue working in the background while the owner focuses on customers, employees, or other responsibilities. The agent can prepare client pitches, create product pages, draft replies, develop content plans, create advertisements, and return with progress updates or decisions requiring human input. Muse can also help businesses plan for seasonal changes, improve customer engagement, manage inventory, and support cash-flow-related workflows. It learns from conversations and business context, identifies what matters to the user, and proactively returns with ideas and suggested actions related to established goals. Muse integrates with tools including Asana, Box, Canva, Dropbox, Figma, Granola, HighLevel, Intuit QuickBooks, Klaviyo, Lovable, Notion, Shopify, Slack, Stripe, and Zoom. It can additionally connect with Facebook, Instagram, and Meta ads, giving the agent context about a company's brand, audience, content, and advertising activities. Users remain responsible for consequential actions and can require approval before Muse performs activities such as sending emails or completing purchases. An audit trail provides visibility into completed and planned agent actions, while secure credential storage is designed to prevent Muse from directly seeing saved login information. For supported purchases, Muse can generate a one-time card number at checkout, and Meta states that conversations with the agent are not shared with its advertising systems.

What is Muse Voice Transcribe?

Muse Voice Transcribe marks Meta's first foray into the realm of real-time audio processing, delivering immediate automatic speech recognition (ASR), speaker identification, and endpointing features. This autoregressive multimodal model, a part of the Muse Spark series, evaluates audio snippets lasting 80 milliseconds and swiftly determines whether to continue listening or transcribe the spoken content into text. Its adaptive delay mechanism fine-tunes the audio context for each word based on the speech's complexity, thereby improving both transcription accuracy and response speed. The model is trained in over 70 languages, with 25 being thoroughly validated upon its launch, and it effectively manages arbitrary code-switching, enabling smooth transitions within and between sentences. Additionally, features for language, keyword, and contextual biasing significantly boost the model's ability to recognize particular names, locations, contacts, and specialized terminology. With its streaming diarization capability, the model adeptly identifies changes in speakers and can distinguish between over 20 different voices. The endpointing feature is also proficient at recognizing when speech begins and ends, contributing to a seamless interaction experience. As a result, Muse Voice Transcribe emerges as an innovative tool in speech recognition technology, cleverly combining advanced functionalities with ease of use while continuing to evolve based on user feedback and advancements in the field.

Media

Media

Integrations Supported

Asana
Canva
Dropbox
Facebook
Figma
Google Docs
Google Drive
Granola
Instagram
Klaviyo
Meta Ads
Muse Spark
OpenTable
Postedly
Shopify
Slack
Stripe
Ticketmaster
Tincan
WhatsApp

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Mac

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

muse.ai/business

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

research.meta.ai/blog/introducing-muse-voice-transcribe

Categories and Features

AI Agents

Not specified

AI Assistants

Not specified

Categories and Features

AI Models

Not specified

Speech to Text

Not specified

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