Business Software for Meta AI

Google Workspace is an all-in-one cloud productivity platform developed by Google to help businesses manage communication, collaboration, document creation, and workflow automation from a centralized environment. The platform combines professional email, cloud storage, video conferencing, document editing, team messaging, scheduling, and AI-powered assistance into one subscription-based ecosystem optimized for modern work environments. Google Workspace includes applications such as Gmail, Google Drive, Google Meet, Docs, Sheets, Slides, Calendar, Chat, Keep, Forms, Sites, NotebookLM, and Gemini AI, enabling teams to work together seamlessly across devices and locations. One of the platform’s core strengths is its built-in AI functionality powered by Gemini, which helps users draft emails, summarize meetings, generate research insights, automate repetitive tasks, and improve productivity using contextual awareness from workplace data. Google Workspace also supports advanced collaboration features including real-time editing, appointment scheduling, eSignatures, document sharing, cloud storage management, and AI-assisted research tools. Businesses benefit from enterprise-grade security features such as AI-powered threat protection, data classification, endpoint management, Data Loss Prevention, secure access controls, and compliance support for enterprise environments. The platform offers scalable pricing plans suitable for startups, small businesses, enterprises, educational institutions, nonprofits, and government organizations. Google Workspace also simplifies data migration and onboarding with built-in migration tools and partner support for transferring emails, files, and business information securely into the cloud.

Muse Code is a beta terminal coding agent from Meta designed to help developers complete complex software engineering work across large codebases. Powered by Muse Spark 1.2, the agent can plan repository changes, write code, run validation steps, and coordinate persistent subagents for difficult development tasks. Muse Code uses a simple main agent loop supported by async background agents that remain active throughout each session. These background agents can gather information, carry out next steps, and decide when to report back to the main agent, reducing latency and unnecessary user steering. The runtime is built around a local event log where every model call, tool run, approval, and edit is appended. This event log makes Muse Code replay-exact and restart-safe, allowing it to resume from the point of failure after a crash. Muse Code also ships with default skills, including /plan, /grill, and /goal, to support structured planning, plan validation, and objective completion. It can be installed on macOS or Linux and is integrated with Meta’s AI developer ecosystem. By combining terminal-based coding, persistent subagents, replay-safe execution, bundled skills, and Muse Spark 1.2, Muse Code helps developers automate larger and longer software engineering workflows.

Muse Spark 1.2 is Meta’s newest coding-focused model, released alongside Muse Code as part of Meta’s AI developer platform. The model improves on Muse Spark 1.1 with stronger code generation, complex debugging, codebase understanding, and full developer workflow performance. Muse Spark 1.2 powers Muse Code, a terminal coding agent that can plan changes, write code, validate results, and coordinate persistent background subagents. The model was co-trained with Muse Code so it performs well inside the agentic coding runtime and tool environment. Its training included scaled coding compute, broader training environment diversity, rejection-sampled harness trajectories, recipe optimizations, and Muse Code toolset integration. Muse Spark 1.2 is designed for long-horizon coding tasks such as whole-repository generation, large end-to-end projects, auto-research, and extended optimization work. It uses planning to sequence work, goal conditioning to stay aligned with the user’s objective, and context compaction to preserve useful knowledge over long sessions. The model also benefits from a self-improvement loop where Muse Spark 1.1 generated challenging coding environments and instruction-following templates for training. By combining coding specialization, agentic workflow support, long-horizon training, subagent compatibility, and Meta Model API availability, Muse Spark 1.2 helps developers build, debug, and optimize software more effectively.

Muse Spark 1.1 is Meta’s upgraded multimodal reasoning model designed to support advanced agentic workflows, coding tasks, computer use, and complex tool orchestration. Developed by Meta Superintelligence Labs, it builds on Muse Spark with major gains in planning, tool use, long-context reasoning, multimodal perception, and real-world task execution. The model can work across external apps and services, native tools, MCP servers, custom skills, browsers, scripts, images, video, PDFs, and audio inputs. Muse Spark 1.1 can act as a main agent by gathering context, creating a plan, and delegating work to parallel subagents, or operate as a subagent that follows instructions and escalates when needed. Its 1 million token context window allows it to retain earlier actions, retrieve information from long workflows, and compact context while preserving critical details. The model is also trained for computer-use tasks, deciding when to automate with scripts and when to interact directly with an interface. In coding workflows, Muse Spark 1.1 can diagnose bugs, implement features, migrate large codebases, generate web applications, take screenshots, identify UI issues, and validate fixes. Its multimodal strengths include visual-to-code generation, detailed image and video captioning, grounded perception, and workflows where seeing, reasoning, and acting happen together. Available through the Meta Model API public preview and in Thinking mode inside Meta AI, Muse Spark 1.1 gives developers and users a more capable foundation for building agents, automations, coding assistants, and multimodal productivity tools.

Muse Video is Meta’s upcoming AI video generation model developed by Meta Superintelligence Labs as part of the company’s new media generation lineup. Previewed with Muse Image, the model is built on the same pretraining base and is designed to produce visually detailed videos with native audio support. Muse Video is focused on generating clips that follow prompts closely, maintain strong visual fidelity, and preserve temporal consistency across motion and scene changes. It can create realistic short videos with clear beginnings, actions, and payoffs, such as animals moving through a scene, handheld first-person footage, product commercials, and UGC-style social ads. The model supports audio-rich outputs that may include environmental sound, foley, music, voiceover, and synchronized spoken dialogue. Meta highlights Muse Video’s ability to handle cinematic prompts, vertical ad formats, realistic camera movement, product demonstrations, and emotionally engaging creative concepts. The company is still investing in improvements for difficult areas such as audio-video sync and physically accurate fast motion. Muse Video is expected to become available to creators and in Meta AI, expanding Meta’s generative AI tools from image creation into video. As part of Meta’s broader creative ecosystem, Muse Video is built to help users, creators, and businesses turn prompts into dynamic, shareable video content.

Iris Finance is an AI-native FP&A platform that replaces spreadsheet-based financial reporting for consumer brands and product-based businesses. The core problem it solves: by the time most brands get their monthly financials, the data is already 2–4 weeks stale. Decisions get made on gut feel or delayed reports that don't account for Amazon fees, ad spend, returns, or 3PL costs eating into margin. Iris fixes this by ingesting data in real time from Shopify, Amazon, QuickBooks, NetSuite, Xero, Meta Ads, Google Ads, TikTok Ads, payroll systems, and banking, then surfacing true profitability broken down by channel, SKU, and cost center. No manual exports. No reconciliation lag. Core capabilities: Live P&L tracking updated daily, not monthly Gross margin and contribution margin by SKU and sales channel AI-driven cash flow forecasting and scenario planning Automated reporting that replaces manual spreadsheet builds Benchmarking against comparable brands by revenue tier Built for operators at $1M–$500M consumer brands - founders, CEOs, and finance leads who need CFO-level visibility without the CFO headcount. Particularly useful for brands scaling across multiple channels simultaneously where blended reporting masks where money is actually being made or lost.

Cal ID is a cloud-based platform that simplifies the process of scheduling appointments and organizing calendars for both individuals and teams. This tool features unlimited scheduling links, customizable booking pages, and seamless integrations with popular applications such as Google Calendar, Outlook, Zoom, Slack, and various payment platforms. Users can create multiple event types with distinct durations and rules, implement round-robin or collective scheduling to optimize team availability, and automate reminders and follow-ups, which helps to minimize no-shows. Additionally, the software enables synchronization across multiple calendars, allowing users to effectively manage their work, personal, and shared calendars in one interface, while also offering insights into booking metrics, attendance rates, and conversion statistics. Cal ID distinguishes itself as a cost-effective solution by providing a free-forever plan that includes essential features, along with an open-source framework that encourages self-hosting and contributions from the community. In this way, it caters to a wide range of users looking for an efficient scheduling solution without the burden of high costs.

Gomega AI is an innovative marketing platform that leverages artificial intelligence to streamline search engine optimization and manage paid advertising campaigns specifically tailored for startups and small to medium enterprises. At the heart of its functionality are AI-driven agents, known as "Lindsay" for SEO tasks and "Erle" for managing paid advertisements, which proficiently tackle various responsibilities including keyword analysis, content development and refinement, ad campaign initiation and targeting, budget management, and continuous performance enhancement. Users benefit from a centralized dashboard where they can manage all SEO and advertising efforts, track essential performance indicators, evaluate AI-generated content and advertisements (with the ability to manually oversee them), and connect with various data sources like search consoles and advertising platforms. Gomega AI commits to providing regular updates and improvements; for instance, it automates the process of identifying "low-competition keywords" and adapts content or advertising approaches in real-time to optimize rankings, increase traffic, and improve return on ad spend. This enables businesses to stay ahead in the competitive digital landscape while saving time and resources. By integrating advanced analytics, Gomega AI ensures that users can make informed decisions based on data-driven insights.

Vaylis is designed for the new era of AI-powered search, where traditional SEO alone is no longer enough to secure visibility. The platform continuously tracks your brand’s mentions, citations, and answer placements across leading AI assistants and generative search engines. With competitor visibility tracking, users can benchmark their share of voice against rivals and see how rankings shift over time. A central analytics dashboard aggregates this data, highlighting growth opportunities and potential threats. The process is simple—connect your brand assets, let Vaylis scan AI engines, and then implement AI-specific optimization strategies based on its recommendations. Insights cover everything from brand positioning to traffic potential from zero-click search results. The goal is to help brands win premium placement inside AI-generated answers, ensuring they remain discoverable and relevant. Vaylis ultimately equips marketing teams to stay competitive as AI becomes the dominant discovery channel.

Ampere.sh offers a streamlined hosting solution for OpenClaw AI agents that allows users to launch and operate autonomous AI assistants in less than sixty seconds, eliminating the need for servers, Docker, or any complex infrastructure setup, thus unleashing the capabilities of OpenClaw without the burden of technical challenges. To get started, users simply create an account, set up a persona, and link communication channels such as Telegram or WhatsApp, ensuring their AI assistant operates around the clock without the need for ongoing maintenance, managing tasks and interactions seamlessly. By taking care of the DevOps aspect, Ampere.sh hosts and oversees your OpenClaw agent, facilitating swift deployment and operation while allowing the use of personal API keys if preferred and providing users with control over their data through straightforward export options. The platform also supports messaging service integrations, enabling agents to engage and execute tasks in real time, while it significantly simplifies workflows by eliminating setup barriers, making it accessible for anyone who can register for an application to have an AI assistant operational in just a few minutes. This user-friendly approach empowers individuals and businesses alike to harness the advantages of AI efficiently, enhancing productivity and streamlining communication effortlessly.

Muse Glimmer is an open-weights model featuring 30 billion parameters, developed by Meta Superintelligence Labs, and is fine-tuned for continuous local agent operations. Its compact design allows it to function on a standard Mac or PC equipped with a single consumer GPU, making it ideal for various tasks such as local agent management, function calling, programming, and LLM-as-a-judge evaluations without reliance on cloud services or internet connectivity. This innovative model integrates advanced capabilities such as long-horizon execution, accurate tool invocation, multimodal comprehension, extended memory for context, and effective instruction following. It is proficient in accomplishing end-to-end tasks as an agent, maintains the ability to engage in multi-step reasoning over lengthy processes, can recover gracefully from failed or unanticipated tool engagements, and interprets interleaved text and images using a specialized perception encoder designed for analyzing screenshots, graphs, and document files. Furthermore, Muse Glimmer is compatible with OpenClaw and other orchestration frameworks, allowing for adjustable reasoning efforts, and has been developed with a diverse dataset encompassing over 100 languages. The model's versatility ensures that it can adapt to various applications, thus enhancing its utility in different domains.

Muse Spark 1.3 represents an advanced AI model that has enhanced capabilities for both agentic and coding tasks, making it more intelligent and practical for use in everyday applications. It excels in maintaining focus on extended tasks through active collaboration with users while efficiently managing various workflows within a single, continuous thread. When faced with an open-ended goal, the model adeptly utilizes tools to create context from disorganized or contradictory information, rectify any gaps in its strategy, track its learning progress, and ultimately generate a final product. In situations where prompts lack clarity, it is proactive in seeking clarification, asking for assistance when it encounters obstacles, and confirming its actions before proceeding with significant decisions. The model demonstrates a high level of reliability in following intricate, long-form instructions, ensuring that detailed requirements are maintained throughout complex, multi-step tasks without losing critical constraints or deviating from the desired workflow. With its enhanced multitasking capabilities, it effectively aligns incoming prompts with the appropriate tasks, even in cases where users interject or shift the focus of previous requests, allowing for a seamless user experience. This makes Muse Spark 1.3 a versatile tool for a wide range of applications.

Muse Spark is Meta’s first model in the Muse family, designed as a natively multimodal AI system focused on advanced reasoning and real-world applications. It combines text, visual understanding, and tool usage to provide more interactive and context-aware responses. The model introduces capabilities like visual chain-of-thought reasoning and multi-agent orchestration for complex problem-solving. Its Contemplating mode allows multiple AI agents to work in parallel, improving accuracy on challenging tasks. Muse Spark performs strongly across domains such as STEM reasoning, health insights, and multimodal perception. It can analyze images, generate interactive outputs, and assist with tasks like troubleshooting or educational content. The model is trained using improved pretraining, reinforcement learning, and efficient test-time reasoning techniques. It is designed to scale efficiently while delivering high performance with optimized compute usage. Safety measures include strong refusal behavior and alignment safeguards across high-risk domains. Overall, Muse Spark is a foundational step toward building personalized, highly capable AI systems.

Hall offers a unique AI conversation intelligence platform that allows businesses to monitor how their brand appears in AI-driven discussions. It provides comprehensive analytics on how your website is cited in AI content, tracking engagement patterns and sentiment around your brand. With advanced features like agent analytics and generative answer insights, Hall helps you understand and optimize your digital presence to align with AI trends, improve brand perception, and drive more traffic through AI-generated content.

AdBeacon is an innovative platform for multi-touch attribution and optimization designed specifically for ecommerce brands and agencies aiming to move past mere speculation and effectively quantify their growth drivers. By directly linking to your first-party data—such as revenue figures and customer activities from your online store—and integrating that information with your paid media channels, the system facilitates precise, real-time reporting and actionable optimization. It boasts a wide array of powerful features like advanced multi-channel attribution, comprehensive campaign tracking, lifetime value assessments, RFM analysis, performance dashboards for creative content, custom audience creation, and budget management tools, all available in a single, cohesive interface. With AdBeacon, businesses can gain clear insights into how each advertisement, campaign, or customer interaction impacts the overall journey, enabling them to distinguish between high-value and low-value audiences. This allows for strategic reallocations of budget towards top-performing creatives, ultimately empowering brands to scale their campaigns with both assurance and transparency, all based on validated data regarding clicks and purchases. Additionally, users can leverage the platform’s insights not just for immediate gains, but also for long-term strategic planning and growth.

We have incorporated Llama 3 into Meta AI, our intelligent assistant that enhances how individuals accomplish tasks, innovate, and engage with Meta AI. By utilizing Meta AI for coding and problem-solving, you can experience Llama 3's capabilities first-hand. Whether you are creating agents or other AI-driven applications, Llama 3, available in both 8B and 70B versions, will provide the necessary capabilities and flexibility to bring your ideas to fruition. With the launch of Llama 3, we have also revised our Responsible Use Guide (RUG) to offer extensive guidance on the ethical development of LLMs. Our system-focused strategy encompasses enhancements to our trust and safety mechanisms, including Llama Guard 2, which is designed to align with the newly introduced taxonomy from MLCommons, broadening its scope to cover a wider array of safety categories, alongside code shield and Cybersec Eval 2. Additionally, these advancements aim to ensure a safer and more responsible use of AI technologies in various applications.

Introducing an open-source AI model that can be fine-tuned, distilled, and deployed across various platforms. Our newest instruction-tuned model comes in three sizes: 8B, 70B, and 405B, giving you options to suit different needs. With our open ecosystem, you can expedite your development process using a diverse array of tailored product offerings designed to meet your specific requirements. You have the flexibility to select between real-time inference and batch inference services according to your project's demands. Additionally, you can download model weights to enhance cost efficiency per token while fine-tuning for your application. Improve performance further by utilizing synthetic data and seamlessly deploy your solutions on-premises or in the cloud. Take advantage of Llama system components and expand the model's capabilities through zero-shot tool usage and retrieval-augmented generation (RAG) to foster agentic behaviors. By utilizing 405B high-quality data, you can refine specialized models tailored to distinct use cases, ensuring optimal functionality for your applications. Ultimately, this empowers developers to create innovative solutions that are both efficient and effective.

Enhance your return on ad spend (ROAS) with expertly managed, targeted advertising campaigns powered by GoMarble AI. Our innovative generative AI model assimilates all your online assets to create precise buyer personas and develop effective marketing strategies. With the assistance of GoMarble’s generative AI tools, our talented designers and copywriters can swiftly produce, test, and launch advertisements. We have successfully established and nurtured numerous startups, giving us a deep understanding of the challenges faced by early-stage founders who juggle multiple responsibilities while striving for growth. GoMarble is designed to empower entrepreneurs by providing access to high-performance online advertising. This service is particularly tailored for brands that have found their niche in the market but require additional resources for expansion. Utilizing our AI audit tool, a dedicated expert will analyze your ad accounts to uncover opportunities for enhancing profitability. Simply upload your advertisement and provide a landing page to receive a comprehensive report that evaluates the visuals, copy, and hooks employed in your marketing efforts, ensuring you are always on the path to success. Through this process, we aim to not only boost your ad performance but also to help you streamline your marketing approach for maximum effectiveness.

The latest iteration of the open-source AI model, which can be fine-tuned and deployed in various environments, is now offered in multiple versions, including 1B, 3B, 11B, and 90B, alongside the option to continue utilizing Llama 3.1. Llama 3.2 comprises a series of large language models (LLMs) that come pretrained and fine-tuned in 1B and 3B configurations for multilingual text only, while the 11B and 90B models accommodate both text and image inputs, producing text outputs. With this new release, you can create highly effective and efficient applications tailored to your needs. For on-device applications, such as summarizing phone discussions or accessing calendar tools, the 1B or 3B models are ideal choices. Meanwhile, the 11B or 90B models excel in image-related tasks, enabling you to transform existing images or extract additional information from images of your environment. Overall, this diverse range of models allows developers to explore innovative use cases across various domains.

Browser Copilot comprehensively grasps the context of your tasks across various websites, providing assistance precisely when you require it. Enhance your team's efficiency through collaborative workflows, customizable templates, and an extensive library of prompts. Positioned at the cutting edge of artificial intelligence, we are pioneering advancements in AI research while offering innovative software solutions. Our leading products exemplify our dedication to expanding the potential of AI technology and developing practical tools for daily use. Yaseen AI operates seamlessly on any website, fully understanding the nuances of your work. This eliminates the hassle of frequently switching between tabs, as Yaseen AI can analyze websites, articles, URLs, and email discussions to aid in summarizing, rewriting, translating, responding, or generating new content. Additionally, you can save and categorize your most effective prompts for quick retrieval and reuse. Increase your team's productivity further with shared workflows and templates, and effortlessly summarize, transcribe, or generate content from YouTube videos, maximizing your efficiency. With Yaseen AI, working smarter becomes the new standard.

Yaseen AI enhances your reading and writing experience across any webpage, allowing for the explanation, summarization, rewriting, and improvement of text seamlessly within your browser. With this tool, you can effortlessly capture information from the web and pose questions, as it comprehends the context of your tasks without the need for frequent tab switching. It efficiently processes websites, articles, URLs, and email threads, offering assistance in summarizing, rewriting, translating, replying, or generating new content. Additionally, you can save and categorize your most effective prompts for quick retrieval and reuse. Yaseen AI also enables you to summarize, transcribe, or create content from YouTube videos, empowering you to write confidently with its integrated language tools that correct spelling and grammar, as well as rewrite, translate, paraphrase, and summarize text. By fostering improved productivity among your team through shared workflows and templates, it streamlines collaboration. Furthermore, you can easily analyze or discuss the contents of images, documents, PDFs, spreadsheets, and more by simply dragging and dropping them into the platform. With just two clicks, you can respond to anyone on any website, as the AI copilot not only understands the context but also formulates the ideal response for you. This innovative tool makes your online interactions more efficient and effective than ever before.

Introducing a comprehensive managed PaaS that features a low-code visual builder, VectorDB, along with integrations for various applications and models, designed for the creation, testing, and deployment of high-performance AI applications on the edge. This solution eliminates inefficient and error-prone tasks, allowing users to simply drag and drop models, applications, data, and agents to discover the most effective combinations. You can deploy solutions in less than 60 seconds while significantly reducing latency. The platform supports seamless observation, testing, and iteration processes, ensuring that you maintain visibility and utilize tools that guarantee precision and dependability. Make informed, data-driven decisions with detailed reports on requests, LLM interactions, and usage analytics, while also accessing real-time traces by node. The experimentation feature simplifies the optimization of various elements, including embeddings, prompts, and models, ensuring continuous enhancement. This platform provides everything necessary to launch and iterate at scale, backed by a vibrant community of innovative builders who share valuable insights and experiences. The collective effort distills the most effective tips and techniques for developing AI applications, resulting in an elegant solution that enables the creation of agentic systems with the efficiency of a large team. Furthermore, its intuitive and user-friendly interface fosters seamless collaboration and management of AI applications, making it accessible for everyone involved.

Develop a marketing strategy utilizing in-house models that are aligned with the latest practices and methodologies. Averi AI has been refined by some of the industry's top marketers, enabling you to accelerate your growth significantly. In mere minutes, you can equip your AI marketing manager with insights specific to your company, allowing you to start making progress immediately. This all-in-one platform empowers you to devise a marketing strategy, generate limitless content, and assemble a team that perfectly fits your needs. Your AI marketing manager is ready to assist you in streamlining your efforts. Effortlessly produce an abundance of written material without the need to prompt a chatbot repeatedly. Create advertisements and social media posts within seconds, adhering to the best practices of both the platform and the industry. Instead of endlessly searching online for the ideal specialist, simply request an introduction through Averi. You can even ask Averi to connect you with a strategist who can help clarify your objectives and develop actionable plans. Find a US-based expert in various fields, from design and social media to advertising and SEO, all in one place. Embrace the convenience of a unified experience for every aspect of your marketing needs and watch your business thrive.

ID Privacy is shaping the future of AI by focusing on privacy-first solutions. Our mission is to deliver cutting edge AI technologies to empower businesses to innovate, without compromising security and trust. ID Privacy AI provides secure, adaptable AI model built with privacy in mind. We empower businesses in all industries to harness advanced AI. Whether it's optimizing workflows, improving customer AI chat experiences or driving insights while safeguarding data, we empower them. The team at ID Privacy met and developed the plan for AI as a Service solution under the guise of stealth. Launched with the most comprehensive knowledge base of ad technology, including multi-modal and multi-lingual capabilities. ID Privacy AI focuses on privacy-first AI for businesses and enterprise. Businesses can be empowered with a flexible AI Framework that protects data and solves complex challenges in any vertical.

Achieve sustainable growth with our innovative AI-driven advertising, analytics, and experienced brand managers located in the US. We enhance traffic, conversion rates, product availability, and overall profits by developing specialized strategies that are customized for your specific business needs. Our team of advertising professionals utilizes AI-optimized PPC, audience-targeted marketing, DSP, and platforms like Google and Meta to maximize your profits. We combine cutting-edge technology with expert insight to deliver exceptional results. Our focus on improving conversion rates is backed by strong SEO practices, persona-driven A+ content, strategic competitive positioning, and engaging brand narratives. We ensure that your product listings gain visibility and resonate with your target audience, building trust and encouraging purchases. In addition, our inventory management solutions are designed to keep your products in stock and your operations running smoothly, featuring real-time 3PL tracking, easy replenishment, inventory-aware advertising, and strategies to avoid storage fees. By maintaining ideal stock levels and dynamically adjusting marketing initiatives based on inventory status, we effectively mitigate the risk of stockouts while optimizing your business performance. With our comprehensive approach, you can confidently focus on growth and innovation in your market.