Lyria Integrations

Completely managed machine learning tools facilitate the rapid construction, deployment, and scaling of ML models tailored for various applications. Vertex AI Workbench seamlessly integrates with BigQuery Dataproc and Spark, enabling users to create and execute ML models directly within BigQuery using standard SQL queries or spreadsheets; alternatively, datasets can be exported from BigQuery to Vertex AI Workbench for model execution. Additionally, Vertex Data Labeling offers a solution for generating precise labels that enhance data collection accuracy. Furthermore, the Vertex AI Agent Builder allows developers to craft and launch sophisticated generative AI applications suitable for enterprise needs, supporting both no-code and code-based development. This versatility enables users to build AI agents by using natural language prompts or by connecting to frameworks like LangChain and LlamaIndex, thereby broadening the scope of AI application development.

Google AI Studio is a comprehensive platform for discovering, building, and operating AI-powered applications at scale. It unifies Google’s leading AI models, including Gemini 3, Imagen, Veo, and Gemma, in a single workspace. Developers can test and refine prompts across text, image, audio, and video without switching tools. The platform is built around vibe coding, allowing users to create applications by simply describing their intent. Natural language inputs are transformed into functional AI apps with built-in features. Integrated deployment tools enable fast publishing with minimal configuration. Google AI Studio also provides centralized management for API keys, usage, and billing. Detailed analytics and logs offer visibility into performance and resource consumption. SDKs and APIs support seamless integration into existing systems. Extensive documentation accelerates learning and adoption. The platform is optimized for speed, scalability, and experimentation. Google AI Studio serves as a complete hub for vibe coding–driven AI development.

Gemini is Google’s next-generation AI assistant designed to deliver intelligent help across research, creativity, communication, and task management. Built on Google’s most advanced AI models, including Gemini 3, it helps users understand complex topics, generate content, and solve problems through natural conversation. Gemini enables text, image, and video generation, allowing users to quickly turn ideas into visual and written outputs. Its grounding in Google Search ensures responses are informed, relevant, and easy to explore further through follow-up questions. Gemini supports hands-free and conversational brainstorming through Gemini Live, making it useful for presentations, interviews, and idea development. With Deep Research, Gemini can analyze hundreds of sources and compile detailed reports in a fraction of the time. The platform connects directly to Google apps like Gmail, Docs, Calendar, Maps, and YouTube to streamline everyday workflows. Users can build personalized AI helpers using Gems by saving detailed instructions and uploaded files. Gemini’s long context window allows it to process large documents, code repositories, and research materials in a single session. Multiple plans provide flexibility, from free access for students and casual users to premium tiers with higher limits and advanced features. Gemini is available across web and mobile devices for seamless access. Designed to adapt to different needs, Gemini supports consumers, professionals, educators, and enterprises alike.

Gemini Enterprise is a comprehensive AI solution from Google Cloud that aims to utilize the extensive capabilities of Google's advanced AI models, tools for agent creation, and enterprise-level data access, all integrated seamlessly into everyday operations. This cutting-edge platform includes a unified chat interface that enables employees to interact effectively with internal documents, applications, multiple data sources, and customized AI agents. The core of Gemini Enterprise is built upon six critical components: the Gemini suite of large multimodal models, an agent orchestration workbench formerly known as Google Agentspace, pre-built starter agents, robust data integration connectors for business systems, comprehensive security and governance measures, and a collaborative partner ecosystem for tailored integrations. Designed for scalability across different departments and organizations, it allows users to create no-code or low-code agents that can automate a variety of tasks, including research synthesis, customer service interactions, code support, and contract evaluation while remaining compliant with corporate regulations. In addition to streamlining operations, the platform also aims to boost productivity and inspire innovation across businesses, making it easier for users to take advantage of advanced AI technologies. Ultimately, Gemini Enterprise represents a significant step forward in the integration of AI into business processes, paving the way for a new era of efficiency and creativity in the workplace.

The Music AI Sandbox is an innovative platform that offers a range of tools designed to spark creativity and support artists in their quest to explore unique musical ideas. Developed in partnership with musicians, these tools are crafted to open up fresh possibilities for music creation. Users can generate original instrumental concepts by expressing their desired sound, while also investigating different genres, moods, vocal styles, and instruments. Furthermore, it allows for the generation of musical continuations based on uploaded or newly created audio clips, making it an essential asset for those facing writer’s block. Musicians can alter the mood, genre, or style of entire audio tracks and make specific edits to particular segments, utilizing intuitive controls to effect both subtle and significant changes. This comprehensive suite empowers artists to uncover new sonic realms, experiment with diverse genres, expand their musical repertoire, and potentially develop entirely new styles that challenge the limits of their creativity. By providing these resources, the Music AI Sandbox encourages artists to reimagine their creative workflows and delve into the boundless potential of sound exploration. In doing so, it fosters an environment where innovation can flourish and unique musical expressions can thrive.

Gemini Robotics incorporates Gemini's cutting-edge multimodal reasoning capabilities and understanding of the world into practical applications, enabling robots of different shapes and sizes to engage in a wide variety of real-world tasks. By harnessing the power of Gemini 2.0, it improves complex vision-language-action models, allowing for reasoning about physical spaces and adapting to new situations, including unfamiliar objects, diverse instructions, and varying environments, all while understanding and responding to everyday conversational prompts. Additionally, it demonstrates an impressive capacity to adjust to sudden changes in commands or surroundings without needing extra input. The dexterity module is specifically engineered to handle complex tasks that require fine motor skills and precise manipulation, enabling robots to perform tasks such as folding origami, packing lunch boxes, and preparing salads. Moreover, it supports a range of embodiments, from dual-arm platforms like ALOHA 2 to humanoid designs such as Apptronik’s Apollo, which enhances its versatility across numerous applications. Designed for optimal local execution, it features a software development kit (SDK) that streamlines the adaptation to new tasks and environments, ensuring that these robots can grow and evolve in response to emerging challenges. This adaptability not only showcases Gemini Robotics' innovation but also solidifies its position as a groundbreaking leader in the robotics sector, pushing the boundaries of what automated systems can achieve in everyday life.

CodeMender, an advanced AI-powered tool developed by DeepMind, is designed to automatically identify, analyze, and rectify security vulnerabilities found within software code. By leveraging the sophisticated reasoning capabilities of the Gemini Deep Think models alongside various analytical methods—such as static and dynamic analysis, differential testing, fuzzing, and SMT solvers—it adeptly uncovers the root causes of issues, formulates high-quality solutions, and ensures that these fixes are validated to avert regressions or functional failures. The functionality of CodeMender includes proposing patches that adhere to predefined style guidelines and maintain the overall structural integrity of the code; it also utilizes critique and verification agents to evaluate its modifications and self-correct when problems are detected. Furthermore, CodeMender has the capability to actively refactor existing code, integrating safer APIs or data structures, like incorporating -fbounds-safety annotations to reduce the risk of buffer overflows. To this point, this remarkable tool has successfully contributed numerous patches to major open-source projects, some of which encompass millions of lines of code, demonstrating its significant potential to enhance software security and reliability. As it continues to evolve, CodeMender is expected to achieve even more remarkable progress in the field of automated code enhancement and safety, revolutionizing how developers approach code quality.

Lyria 3 Clip is a fast and accessible AI music generation feature within Google DeepMind’s Lyria 3 framework, designed specifically for creating short, high-quality audio clips from simple inputs. It enables users to generate music tracks of around 30 seconds by providing prompts, images, or videos, which the system interprets to produce cohesive compositions. The model automatically creates full tracks that include vocals, lyrics, and instrumentals, eliminating the need for traditional music production skills. Its multimodal capabilities allow users to transform visual content or abstract ideas into soundtracks that match mood and context. Lyria 3 Clip is integrated into platforms like the Gemini app, making it widely available for both everyday users and developers building creative tools. The feature is optimized for speed, allowing rapid iteration and experimentation with different musical styles and concepts. It supports a wide range of genres and creative directions, making it versatile for various use cases. The generated clips are suitable for social media, short videos, presentations, and quick creative projects. Lyria 3 Clip also incorporates responsible AI measures, such as SynthID watermarking and safeguards against copying existing works. It is designed to democratize music creation by lowering the barrier to entry for non-musicians. The tool works seamlessly within Google’s broader AI ecosystem, enabling integration into apps and workflows. Overall, Lyria 3 Clip provides a powerful yet simple way to turn ideas into polished, short-form music content in seconds.

We are thrilled to unveil the beta version of SynthID, an innovative tool specifically created for watermarking and identifying images generated by AI. At this time, SynthID is accessible to a select group of Vertex AI users who are utilizing Imagen, one of our latest models that transforms text prompts into breathtaking photorealistic images. This cutting-edge tool enables users to effortlessly incorporate an invisible digital watermark into their AI-generated artwork, allowing them to verify whether Imagen played a role in the image's creation or in certain aspects of it. Recognizing AI-created content is vital for building trust within the information ecosystem. While it may not completely eliminate the challenges posed by misinformation, SynthID signifies an important step forward in addressing the pressing concerns related to AI safety. Created by Google DeepMind and refined through partnerships with Google Research, this technology has the potential to be adapted for various AI models, and we are eager to incorporate it into more products in the near future. As the field of AI evolves, SynthID is positioned to be a fundamental tool in promoting transparency and responsibility in digital media, ultimately benefiting users and creators alike.

Lyria 3 represents Google DeepMind’s most advanced step forward in AI-powered music generation, offering creators the ability to produce professional-quality audio using natural language prompts. Designed to understand musicality at a structural level, it captures rhythm, harmony, arrangement, and vocal nuance to create tracks that feel cohesive and intentional. Users can start with a simple idea, such as a mood or theme, and progressively refine technical elements like tempo, genre, instrumentation, and vocal style. The model supports multilingual vocals and spans a broad spectrum of global genres, enabling experimentation across cultural and stylistic boundaries. A unique feature allows users to upload images and transform them into custom musical compositions, blending visual inspiration with sonic creativity. Lyria 3 was developed with feedback from musicians and producers to ensure outputs reflect authentic musical flow rather than fragmented loops. Tracks can be exported in high-fidelity formats suitable for background scoring, digital content, or large-scale performance use. The model family also includes real-time and open creative variants, expanding options for interactive and experimental workflows. To promote responsible AI development, Lyria 3 incorporates robust content filtering and imperceptible SynthID watermarking to identify AI-generated audio. While powerful, the system acknowledges ongoing improvements and encourages creators to review outputs carefully. Integrated into Gemini and YouTube Shorts through Dream Track, Lyria 3 fits seamlessly into modern creative ecosystems. Overall, it functions as a collaborative creative partner, helping artists, creators, and storytellers explore new musical possibilities while maintaining control over their artistic vision.

Lyria 3 Pro is a cutting-edge AI music generation model created by Google DeepMind, designed to produce longer, more structured, and highly customizable music tracks for a wide range of users. It allows users to generate compositions up to three minutes in length, offering detailed control over musical elements such as intros, verses, choruses, bridges, and transitions. The model’s enhanced understanding of musical structure ensures that outputs are cohesive, dynamic, and professionally arranged. Lyria 3 Pro is integrated into multiple Google platforms, including Vertex AI for enterprise-scale applications, Google AI Studio for developers, and the Gemini app for creators. It is also available in tools like Google Vids and ProducerAI, enabling seamless integration into video production and collaborative music workflows. The platform supports diverse use cases, from creating soundtracks for games and videos to generating personalized music for content creators. Its scalability allows businesses to produce high-quality audio content efficiently and at scale. Lyria 3 Pro is built with a strong focus on responsible AI, ensuring that it does not replicate specific artists while still allowing stylistic inspiration. It includes built-in safeguards, such as content filters and SynthID watermarking, to protect intellectual property and identify AI-generated content. The model is designed to enhance creativity by allowing users to experiment with different musical styles and structures effortlessly. It also helps streamline production workflows by reducing the time and effort required to compose original music. Overall, Lyria 3 Pro represents a significant advancement in AI-driven music creation, enabling users to bring their creative ideas to life with greater flexibility and precision.