Business Software for Google AI Studio

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.

Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.

Gemini 3.6 Flash is Google’s workhorse Flash model for developers and enterprises building production AI agents at scale. The model is designed to deliver higher quality than Gemini 3.5 Flash while improving token efficiency, latency, and overall task cost. Google says Gemini 3.6 Flash uses 17% fewer output tokens than 3.5 Flash on the Artificial Analysis Index and can show even larger efficiency gains on certain software engineering benchmarks. It is priced lower than 3.5 Flash at $1.50 per 1 million input tokens and $7.50 per 1 million output tokens. Gemini 3.6 Flash improves performance in coding, ML research, computer use, knowledge work, document parsing, chart analysis, report drafting, and data-heavy workflows. The model also supports built-in computer use through the Gemini API and Gemini Enterprise, making it more useful for agentic systems that need to operate across digital environments. Google highlights customer use cases involving financial transcript analysis, code migrations, visual workflows, and interactive design tools. The model includes enhanced Frontier Safety safeguards for CBRN and cyber offense misuse while aiming to reduce unnecessary refusals for beneficial uses. By combining efficiency, stronger reasoning, multimodal ability, computer use, and enterprise availability, Gemini 3.6 Flash gives teams a practical model for scaling AI agents in production.

Gemini 3.5 Pro is Google’s expected flagship Pro model for the Gemini 3.5 generation, built for users who need advanced intelligence across reasoning, coding, multimodal analysis, and agentic execution. The model is positioned as a higher-capability option for complex work that requires stronger planning, deeper instruction following, and more reliable handling of multi-step tasks. It is expected to serve demanding use cases such as software engineering, research synthesis, data analysis, enterprise automation, AI agents, and advanced productivity workflows. Gemini 3.5 Pro will likely expand on the Gemini 3 model family’s focus on state-of-the-art reasoning, tool use, and multimodal understanding. Unlike Flash models, which prioritize speed and cost efficiency, Gemini 3.5 Pro is expected to prioritize maximum capability for more difficult and high-value tasks. Developers may use it to build coding assistants, autonomous agents, technical copilots, business analysis tools, and applications that need to process complex context. Its anticipated strengths include long-horizon task execution, advanced code generation, structured problem solving, and improved performance on workflows that require careful reasoning. Gemini 3.5 Pro is not yet broadly documented as a generally available model, so businesses should treat it as an upcoming release rather than a fully launched product. Once available, it is expected to become a strong option for teams that want Google’s most capable Gemini 3.5 model for serious AI application development.

Gemini 3.5 Flash is Google’s high-performance multimodal AI model built to deliver frontier-level intelligence, fast execution speeds, and advanced agentic capabilities for coding, automation, and enterprise workflows. As the first release in the Gemini 3.5 series, the model is designed to help developers, businesses, and users execute complex long-horizon tasks through AI-powered reasoning, workflow orchestration, and intelligent automation. Gemini 3.5 Flash combines powerful coding performance, multimodal understanding, and real-time responsiveness while outperforming earlier Gemini models and competing frontier AI systems across several coding and reasoning benchmarks. The model is optimized for agentic workflows, allowing it to plan, execute, and manage multi-step tasks such as software development, infrastructure management, document preparation, and business process automation through the updated Antigravity harness. Gemini 3.5 Flash can also deploy collaborative subagents that work together under supervision to complete demanding workflows more efficiently and at lower operational cost. Beyond coding and automation, the platform generates richer graphics, dynamic web interfaces, interactive animations, and advanced multimodal experiences that support developers and enterprise users building AI-driven applications. Google has integrated Gemini 3.5 Flash across the Gemini app, AI Mode in Google Search, Google AI Studio, Android Studio, Gemini Enterprise Agent Platform, and enterprise AI services to expand access to advanced AI capabilities globally. The model also powers Gemini Spark, Google’s new personal AI agent designed to operate continuously and assist users with digital life management and automated task execution.

Gemini 3.5 Flash Cyber is a dedicated model designed specifically for cybersecurity, built upon Gemini 3.5 Flash, and refined to efficiently discover, validate, and resolve vulnerabilities at scale. Its primary objective is to support defensive security operations by enabling organizations to quickly pinpoint critical vulnerabilities and produce dependable patches before they can be exploited. The remarkable blend of performance and efficiency offered by Flash provides an excellent basis for code scanning, assessing security issues, confirming the authenticity of findings, and suggesting precise remediation strategies within extensive software environments. In the CodeMender framework, numerous Gemini 3.5 Flash Cyber agents collaborate seamlessly, merging their insights into a comprehensive report that enhances the system's ability to analyze vulnerabilities from various perspectives and elevate the overall quality of the findings. This collaborative agent framework ensures exceptional performance on CyberGym, which serves as a benchmark for assessing cybersecurity effectiveness, while also fostering continuous improvement in vulnerability management practices. Ultimately, the capabilities of Gemini 3.5 Flash Cyber not only streamline security workflows but also strengthen an organization's resilience against potential threats.

Veo 3.1 expands upon the features of its predecessor, allowing for the creation of longer and more adaptable AI-generated videos. This upgraded version empowers users to produce multi-shot videos based on various prompts, generate sequences using three reference images, and incorporate frames in video projects that smoothly transition between a starting and ending image, all while maintaining synchronized, native audio. A notable addition is the scene extension capability, which permits the lengthening of the last second of a clip by up to an entire minute of newly generated visuals and sound. Furthermore, Veo 3.1 includes editing tools for adjusting lighting and shadow effects, enhancing realism and consistency throughout the scenes, and features advanced object removal techniques that intelligently reconstruct backgrounds to eliminate unwanted elements from the footage. These improvements render Veo 3.1 more precise in following prompts, present a more cinematic experience, and provide a broader scope compared to models designed for shorter clips. Additionally, developers can easily utilize Veo 3.1 through the Gemini API or via the Flow tool, which is specifically aimed at enhancing professional video production workflows. This new version not only refines the creative process but also opens up new avenues for innovation in video content creation.

Veo 3 is Google’s most advanced video generation tool, built to empower filmmakers and creatives with unprecedented realism and control. Offering 4K resolution video output, real-world physics, and native audio generation, it allows creators to bring their visions to life with enhanced realism. The model excels in adhering to complex prompts, ensuring that every scene or action unfolds exactly as envisioned. Veo 3 introduces powerful features such as precise camera controls, consistent character appearance across scenes, and the ability to add sound effects, ambient noise, and dialogue directly into the video. These new capabilities open up new possibilities for both professional filmmakers and enthusiasts, offering full creative control while maintaining a seamless and natural flow throughout the production.

Docker streamlines tedious configuration processes and is utilized across the entire development lifecycle, facilitating swift, simple, and portable application creation on both desktop and cloud platforms. Its all-encompassing platform features user interfaces, command-line tools, application programming interfaces, and security measures designed to function cohesively throughout the application delivery process. Jumpstart your programming efforts by utilizing Docker images to craft your own distinct applications on both Windows and Mac systems. With Docker Compose, you can build multi-container applications effortlessly. Furthermore, it seamlessly integrates with tools you already use in your development workflow, such as VS Code, CircleCI, and GitHub. You can package your applications as portable container images, ensuring they operate uniformly across various environments, from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE, and beyond. Additionally, Docker provides access to trusted content, including official Docker images and those from verified publishers, ensuring quality and reliability in your application development journey. This versatility and integration make Docker an invaluable asset for developers aiming to enhance their productivity and efficiency.

Axis LMS is a feature-rich, highly customizable Learning Management System designed to simplify and elevate corporate training. Whether you’re delivering onboarding, compliance, continuing education, or skills development, Axis LMS gives you the tools to engage learners, track progress, and stay audit-ready - all without the complexity of large enterprise systems. Built for real-world business needs, Axis LMS supports a wide range of content formats, including SCORM, video, assessments, documents, and interactive modules. It allows you to automate enrollments, reminders, and certifications, freeing your team from repetitive tasks and ensuring nothing slips through the cracks. With its intuitive drag-and-drop course builder and mobile-friendly learner interface, Axis LMS makes learning accessible and enjoyable on any device. Branding options and flexible permissions let you tailor the experience for different teams, departments, or clients — making it a perfect fit for internal training, external certification, partner enablement, and more. The platform includes powerful reporting and analytics, so you can measure impact, identify trends, and meet compliance standards with ease. Seamless integrations and an open API ensure Axis LMS can work alongside your existing HR, CRM, or business systems. Trusted by organizations of all sizes, Axis LMS combines enterprise-level power with small-business flexibility. Whether you have 25 users or 10,000+, Axis LMS delivers a reliable, scalable solution that evolves with your training needs.

Firebase is an invaluable resource for developing and managing successful applications, gaining popularity among development teams ranging from startups to large corporations, thanks to its robust backing by Google. It offers a suite of reliable products and solutions that accompany your app throughout its lifecycle. You can easily automate routine development tasks by installing pre-packaged, open-source code bundles. Furthermore, Firebase allows seamless integration with your team's preferred tools, enabling you to tackle intricate challenges and enhance the overall user experience of your app. Whether you want to personalize the onboarding process, boost user engagement, or introduce new features, Firebase has you covered. With comprehensive documentation and cross-platform SDKs, Firebase supports app building and deployment across Android, iOS, web platforms, C++, and Unity. You can discover how to initiate a Firebase project, register your applications, and incorporate the Firebase SDKs tailored to your specific platform—be it iOS, Android, or the web. Additionally, you can delve into Firebase project concepts, explore detailed insights into project permissions and management systems, and prepare your application for launch effectively, ensuring that you have all the tools necessary for a successful deployment. Overall, Firebase stands as a pivotal ally in the app development arena.

GitHub stands as the leading platform for developers globally, renowned for its security, scalability, and community appreciation. By joining the ranks of millions of developers and businesses, you can contribute to the software that drives the world forward. Collaborate within the most inventive communities, all while utilizing our top-tier tools, support, and services. If you're overseeing various contributors, take advantage of our free GitHub Team for Open Source option. Additionally, GitHub Sponsors is available to assist in financing your projects. We're thrilled to announce the return of The Pack, where we’ve teamed up to provide students and educators with complimentary access to premier developer tools throughout the academic year and beyond. Furthermore, if you work for a recognized nonprofit, association, or a 501(c)(3), we offer a discounted Organization account to support your mission. With these offerings, GitHub continues to empower diverse users in their software development journeys.

MATLAB® offers a desktop environment specifically optimized for iterative design and analysis, paired with a programming language that allows for straightforward expression of matrix and array mathematics. It features the Live Editor, which enables users to create scripts that merge code, output, and formatted text within an interactive notebook. The toolboxes provided by MATLAB are meticulously developed, thoroughly tested, and comprehensively documented. Additionally, MATLAB applications allow users to visualize how various algorithms interact with their data. You can refine your results through repeated iterations and then easily generate a MATLAB program to replicate or automate your processes. The platform also allows for scaling analyses across clusters, GPUs, and cloud environments with minimal modifications to your existing code. There is no need to overhaul your programming practices or master complex big data techniques. You can automatically convert MATLAB algorithms into C/C++, HDL, and CUDA code, enabling execution on embedded processors or FPGA/ASIC systems. Furthermore, when used in conjunction with Simulink, MATLAB enhances the support for Model-Based Design methodologies, making it a versatile tool for engineers and researchers alike. This adaptability makes MATLAB an essential resource for tackling a wide range of computational challenges.

Gemini is Google’s intelligent AI platform built to support productivity, creativity, and learning across work, school, and everyday life. It allows users to ask questions, generate text, images, and videos, and explore ideas using conversational AI powered by Gemini 3. By integrating directly with Google Search, Gemini provides grounded answers and supports detailed follow-up discussions on complex topics. The platform includes advanced tools like Deep Research, which condenses hours of online research into structured reports in minutes. Gemini also enables real-time collaboration and spoken brainstorming through Gemini Live. Users can connect Gemini to Gmail, Google Docs, Calendar, Maps, and other Google services to complete tasks across multiple apps at once. Custom AI experts called Gems allow users to save instructions and tailor Gemini for specific roles or workflows. Gemini supports large file analysis with a long context window, making it capable of reviewing books, reports, and large codebases. Flexible subscription tiers offer different levels of access to models, credits, and creative tools. Gemini is available on web and mobile, making it accessible wherever users need intelligent assistance.

React simplifies the process of building interactive user interfaces by allowing developers to design straightforward views for each state of their application. When your data changes, React intelligently updates and renders only the components that need to be altered, ensuring efficiency. The use of declarative views contributes to a more predictable coding experience and facilitates debugging. You can create self-contained components that maintain their own state and combine them to construct intricate UIs. Since the logic for these components is implemented in JavaScript rather than templates, it allows for seamless data transfer throughout the application while keeping the state separate from the DOM. React does not impose restrictions on your technology stack, enabling you to introduce new features in React without the necessity of overhauling your existing codebase. Each React component features a render() method that accepts input data and determines what should be displayed. This particular example employs an XML-like syntax known as JSX, and the input data provided to the component can be accessed through this.props within the render() method. Overall, this flexibility makes React a powerful tool for modern web development.

The Model Context Protocol (MCP) is a flexible, open-source framework that streamlines the interaction between AI models and external data sources. It enables developers to create complex workflows by connecting LLMs with databases, files, and web services, offering a standardized approach for AI applications. MCP’s client-server architecture ensures seamless integration, while its growing list of integrations makes it easy to connect with different LLM providers. The protocol is ideal for those looking to build scalable AI agents with strong data security practices.

Gemini CLI is an open-source command line interface that brings the full power of Gemini’s AI models into developers’ terminals, offering a seamless and direct way to interact with AI. Designed for efficiency and flexibility, it enables coding assistance, content generation, problem solving, and task management all through natural language commands. Developers using Gemini CLI get access to Gemini 3 Pro with a generous free tier of 60 requests per minute and 1,000 daily requests, supporting both individual users and professional teams with scalable paid plans. The platform incorporates tools like Google Search integration for dynamic context, Model Context Protocol (MCP) support, and prompt customization to tailor AI behavior. It is fully open source under Apache 2.0, encouraging community input and transparency around security. Gemini CLI can be embedded into existing workflows and automated via non-interactive script invocation. This combination of features elevates the command line from a basic tool to an AI-empowered workspace. Gemini CLI aims to make advanced AI capabilities accessible, customizable, and powerful for developers everywhere.

Gemini 3 Pro is a next-generation AI model from Google designed to push the boundaries of reasoning, creativity, and code generation. With a 1-million-token context window and deep multimodal understanding, it processes text, images, and video with unprecedented accuracy and depth. Gemini 3 Pro is purpose-built for agentic coding, performing complex, multi-step programming tasks across files and frameworks—handling refactoring, debugging, and feature implementation autonomously. It integrates seamlessly with development tools like Google Antigravity, Gemini CLI, Android Studio, and third-party IDEs including Cursor and JetBrains. In visual reasoning, it leads benchmarks such as MMMU-Pro and WebDev Arena, demonstrating world-class proficiency in image and video comprehension. The model’s vibe coding capability enables developers to build entire applications using only natural language prompts, transforming high-level ideas into functional, interactive apps. Gemini 3 Pro also features advanced spatial reasoning, powering applications in robotics, XR, and autonomous navigation. With its structured outputs, grounding with Google Search, and client-side bash tool, Gemini 3 Pro enables developers to automate workflows and build intelligent systems faster than ever.

IndexChecker simplifies the task of tracking the indexing status of various URLs for SEO managers, agencies, and website owners managing multiple pages and domains. Users can effortlessly import URLs through CSV files or sitemaps, perform bulk status checks, establish automated schedules, and obtain detailed reports, all within a user-friendly dashboard designed for efficiency and convenience. This all-encompassing tool enhances workflow by allowing users to focus on strategy rather than manual checks.

Google Antigravity is Google’s next-generation AI IDE, purpose-built to transform software creation through agentic automation and contextual intelligence. It integrates intelligent agents directly into your coding environment, allowing them to plan, execute, and verify tasks across the editor, terminal, and browser in real time. Developers can interact with agents using natural language, refining outputs and validating code through a feedback-driven interface that fosters trust and transparency. Antigravity’s synchronized agentic control ensures that multiple agents work together efficiently, maintaining shared context across workspaces and surfaces. The IDE introduces task-oriented workflows, enabling developers to focus on higher-level architecture and design while agents handle implementation and iteration. With tab autocompletion, smart command execution, and artifact-based verification, Antigravity streamlines the development lifecycle from ideation to deployment. Available at no charge for individuals, it empowers both professionals and hobbyists to achieve new levels of productivity. By combining intelligent autonomy with human oversight, Google Antigravity bridges the gap between traditional development and the agent-first future.

At the heart of extensible programming lies the definition of functions. Python supports both mandatory and optional parameters, keyword arguments, and even allows for arbitrary lists of arguments. Regardless of whether you're just starting out in programming or you have years of experience, Python is accessible and straightforward to learn. This programming language is particularly welcoming for beginners, while still offering depth for those familiar with other programming environments. The subsequent sections provide an excellent foundation to embark on your Python programming journey! The vibrant community organizes numerous conferences and meetups for collaborative coding and sharing ideas. Additionally, Python's extensive documentation serves as a valuable resource, and the mailing lists keep users connected. The Python Package Index (PyPI) features a vast array of third-party modules that enrich the Python experience. With both the standard library and community-contributed modules, Python opens the door to limitless programming possibilities, making it a versatile choice for developers of all levels.

Google AI Plus is a premium AI subscription plan from Google that gives users expanded access to Gemini-powered productivity, creativity, research, and automation tools across Google’s ecosystem. The subscription includes higher usage limits for the Gemini app along with access to advanced features such as video generation, Daily Brief, AI-powered research tools, and enhanced creative workflows powered by Google’s latest AI models. Users gain access to Google Flow, an AI creative studio that allows them to generate cinematic scenes, stories, and visual content using Gemini Omni Flash and customizable AI tools. The plan also integrates Gemini directly into Google applications including Gmail, Docs, Vids, and Chrome, helping users streamline writing, organization, brainstorming, browsing, and productivity tasks across everyday workflows. Google AI Plus includes enhanced NotebookLM functionality that provides advanced research assistance, audio overviews, notebook management, and writing support powered by AI. Subscribers additionally receive 200 GB of cloud storage across Google Drive, Gmail, and Google Photos, allowing users to store and manage files, media, and AI-generated content in one connected environment. The subscription is designed for individuals seeking more powerful AI-assisted experiences for creative projects, research, productivity, communication, and digital organization without requiring enterprise-level tools or infrastructure. Google AI Plus also provides increased access to AI-powered search capabilities and experimental features that continue expanding as Google introduces new Gemini technologies and AI services.

Gemini Flash represents a cutting-edge large language model developed by Google, specifically engineered for rapid, efficient language processing activities. As a part of the Gemini lineup from Google DeepMind, it is designed to deliver instantaneous responses and effectively manage extensive applications, proving to be exceptionally suited for dynamic AI-driven interactions like customer service, virtual assistants, and real-time chat systems. In addition to its impressive speed, Gemini Flash maintains a high standard of quality; it utilizes advanced neural architectures that guarantee responses are contextually appropriate, coherent, and accurate. Google has also integrated stringent ethical guidelines and responsible AI methodologies into Gemini Flash, providing it with safeguards to address and reduce biased outputs, thereby ensuring compliance with Google’s principles for secure and inclusive AI. With the capabilities of Gemini Flash, businesses and developers are empowered to implement agile, intelligent language solutions that can satisfy the requirements of rapidly evolving environments. This innovative model marks a significant step forward in the quest for sophisticated AI technologies that respect ethical considerations while enhancing user experience.

Gemini 2.0 represents a cutting-edge AI model created by Google, aimed at delivering revolutionary advancements in natural language comprehension, reasoning abilities, and multimodal communication. This new version builds upon the achievements of its earlier model by combining extensive language processing with superior problem-solving and decision-making skills, allowing it to interpret and produce human-like responses with enhanced precision and subtlety. In contrast to conventional AI systems, Gemini 2.0 is designed to simultaneously manage diverse data formats, such as text, images, and code, rendering it an adaptable asset for sectors like research, business, education, and the arts. Key enhancements in this model include improved contextual awareness, minimized bias, and a streamlined architecture that guarantees quicker and more consistent results. As a significant leap forward in the AI landscape, Gemini 2.0 is set to redefine the nature of human-computer interactions, paving the way for even more sophisticated applications in the future. Its innovative features not only enhance user experience but also facilitate more complex and dynamic engagements across various fields.