Business Software for Gemini

CodeMender is an innovative AI-driven tool created by DeepMind that automatically detects, analyzes, and corrects security vulnerabilities within software code. By integrating sophisticated reasoning capabilities through the Gemini Deep Think models with various analysis techniques such as static and dynamic analysis, differential testing, fuzzing, and SMT solvers, it effectively pinpoints the underlying causes of issues, generates high-quality fixes, and ensures these solutions are validated to prevent regressions or functional failures. The operation of CodeMender involves proposing patches that comply with established style guidelines and maintain structural integrity, while it also employs critique and verification agents to assess modifications and self-correct if any problems are identified. Additionally, CodeMender can actively refactor existing code to incorporate safer APIs or data structures, such as implementing -fbounds-safety annotations to mitigate the risk of buffer overflows. To date, this remarkable tool has contributed dozens of patches to significant open-source projects, some of which consist of millions of lines of code, showcasing its potential impact on software security and reliability. Its ongoing development promises even greater advancements in the realm of automated code improvement and safety.

The Generative AI Service Cloud Infrastructure is a comprehensive, fully managed platform that provides robust large language models capable of various functions such as generation, summarization, analysis, chatting, embedding, and reranking. Users can easily access pretrained foundational models through a user-friendly playground, API, or CLI, and they also have the option to fine-tune custom models using dedicated AI clusters that are exclusive to their tenancy. This service is equipped with content moderation, model controls, dedicated infrastructure, and versatile deployment endpoints to meet diverse needs. Its applications are vast and varied, serving multiple industries and workflows by generating text for marketing campaigns, creating conversational agents, extracting structured data from various documents, performing classification tasks, enabling semantic search, facilitating code generation, and beyond. The architecture is designed to accommodate "text in, text out" workflows with advanced formatting capabilities, and operates across global regions while adhering to Oracle’s governance and data sovereignty requirements. Furthermore, businesses can leverage this powerful infrastructure to innovate and streamline their operations efficiently.

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.

Google Skills serves as a robust online educational platform aimed at equipping individuals with essential career skills and fostering their professional advancement. By offering a variety of self-paced, interactive courses and certifications, users can acquire practical experience in diverse areas such as data analytics, digital marketing, IT support, UX design, project management, and generative AI. The platform includes modules that instruct learners on the effective use of Google tools, the development of job-related skills, and the application of newfound knowledge in real-world settings. Participants have the opportunity to earn widely-recognized credentials, such as career certificates and skill badges, which affirm their expertise and improve their professional profiles. Additionally, Google Skills prioritizes accessibility and flexibility, enabling learners to participate from anywhere while progressing at their own speed, all while concentrating on high-demand subjects that are informed by industry trends. This commitment to practical education not only enhances individual career prospects but also contributes to a more skilled workforce overall.

Veo 3.1 Fast represents a major leap forward in generative video technology, combining the creative intelligence of Veo 3.1 with faster generation times and expanded control. Available through the Gemini API, the model turns written prompts and still images into cinematic videos with synchronized sound and expressive storytelling. Developers can guide scene generation using up to three reference images, extend video length continuously with “Scene Extension,” and even create dynamic transitions between first and last frames. Its enhanced AI engine maintains character and visual consistency across sequences while improving adherence to user intent and narrative tone. Veo 3.1 Fast’s audio generation adds depth with natural voices and realistic soundscapes, enabling richer, more immersive outputs. Integration with Google AI Studio and Gemini Enterprise Agent Platform makes it simple to build, test, and deploy creative applications. Leading creative teams, such as Promise Studios and Latitude, are already using Veo 3.1 Fast for generative filmmaking and interactive storytelling. Offering the same price as Veo 3.0 but vastly improved capability, it sets a new benchmark for AI-driven video production.

Liminary is an innovative knowledge-management platform that acts as a digital “knowledge companion” for professionals who deal with extensive research, content, or information. It allows users to capture and systematically organize data from diverse formats like articles, PDFs, videos, and meeting transcripts into a cohesive library where every item is transformed into a structured “source.” Upon saving content, users can emphasize important insights, add personal annotations, and curate collections based on specific projects or themes. Furthermore, Liminary enhances the synthesis process by automatically identifying relationships between concepts, revealing patterns that may be easily missed, and providing a platform for inquiry. Additionally, the platform empowers users to generate various output artifacts, including research reports, investment memos, marketing briefs, or strategy presentations, all of which incorporate their accumulated knowledge along with proper source citations. This multifaceted approach not only streamlines information management but also fosters deeper understanding and creativity in professional settings.

Gemini 3, the latest model from Google DeepMind, establishes a new standard for artificial intelligence by achieving cutting-edge reasoning capabilities and multimodal comprehension across various formats including text, images, and videos. It significantly outperforms its earlier version in critical AI assessments and showcases its strengths in intricate areas like scientific reasoning, advanced programming, spatial reasoning, and visual or video interpretation. The introduction of the innovative “Deep Think” mode takes performance to an even higher level, demonstrating superior reasoning abilities for exceptionally difficult tasks and surpassing the Gemini 3 Pro in evaluations such as Humanity’s Last Exam and ARC-AGI. Now accessible within Google’s ecosystem, Gemini 3 empowers users to engage in learning, developmental projects, and strategic planning with unprecedented sophistication. With context windows extending up to one million tokens and improved media-processing capabilities, along with tailored configurations for various tools, the model enhances precision, depth, and adaptability for practical applications, paving the way for more effective workflows across diverse industries. This advancement signals a transformative shift in how AI can be leveraged for real-world challenges.

Keytomic is an innovative platform that utilizes AI to automate both SEO and AEO processes, effectively managing the entire workflow for organic growth. The journey begins with a thorough technical SEO evaluation, involving extensive website crawls aimed at uncovering issues such as indexing errors, broken links, duplicated content, redirect complications, canonical mistakes, and assessments of Core Web Vitals performance. Once the website's technical foundations are verified, Keytomic streamlines content creation using its SEO Content Automation engine. This engine incorporates powerful keyword research driven by Ahrefs, organizes topics through semantic clustering, generates content briefs, and creates articles optimized for E-E-A-T, while also producing brand-consistent AI-generated images and ensuring grammar and factual accuracy. Additionally, it facilitates manual approval processes and seamlessly publishes content to platforms like WordPress, Shopify, Webflow, HubSpot, and Wix. To further enhance ongoing relevance, the system also schedules regular content updates. Moreover, Keytomic features an exclusive AI Visibility Automation tool that monitors brand visibility across emerging platforms such as ChatGPT, Claude, Perplexity, and Gemini, ensuring businesses remain prominent in the ever-evolving digital landscape. This comprehensive approach positions Keytomic as a vital ally for organizations aiming to optimize their online presence effectively.

Fuuz serves as a comprehensive industrial-operations platform that integrates manufacturing execution, warehouse management, asset monitoring, and data intelligence into a cohesive enterprise-grade solution, aiming to bridge the gap between operational technology (OT) and information technology (IT) while promoting scalability, flexibility, and swift deployment. This platform empowers users to seamlessly connect, gather, store, analyze, and visualize real-time data from various sources such as machines, sensors, edge devices, and legacy systems, effectively normalizing and contextualizing industrial data for immediate application. Equipped with secure edge-to-cloud connectivity, user-friendly drag-and-drop low-code application design, and adaptive AI-driven workflows, including pre-built templates and accelerators, Fuuz is designed to minimize implementation hurdles and expedite the realization of value. Additionally, it features native integration capabilities with ERPs, automation systems, cloud platforms, and AI tools, ensuring comprehensive visibility from the plant floor to the entire enterprise. With such integrations, Fuuz not only enhances operational efficiency but also positions organizations to harness the full potential of their industrial data.

Code Wiki serves as an advanced, automated platform for documentation that creates and sustains a comprehensive wiki tailored for any code repository, continuously updating to reflect code modifications. It meticulously analyzes the entire codebase, regenerating documentation with each commit to ensure that the documentation remains aligned with code changes; additionally, it features an integrated chat interface powered by the Gemini model, allowing developers to inquire about specific aspects of the code and obtain responses that are directly linked to the actual repository. Users benefit from hyperlinked documentation that connects high-level overviews to particular code segments, facilitating effortless navigation. Furthermore, Code Wiki generates architectural diagrams, class hierarchies, and sequence workflows, all of which offer visual insights into the intricate relationships present within the code, enhancing comprehension and collaboration among developers. This innovative platform not only streamlines documentation but also significantly improves the overall development process.

Temso AI serves as a resource for brands, providing insights into their visibility, portrayal, and competitive standing in prominent AI search engines. It consistently monitors brand mentions across major LLMs, assessing how a brand compares to its rivals while identifying avenues for enhancing its presence in AI-generated responses. By offering straightforward analytics, comparative benchmarks, and practical suggestions, Temso AI empowers businesses to grasp their actual footprint in the swiftly evolving landscape of AI search. Furthermore, it enables organizations to take proactive measures in influencing customer interactions with their brand through sophisticated models tailored for the digital age.

Google Workspace Studio enables teams to turn ideas into automation instantly using plain-language prompts powered by Gemini 3. Users can build agents without writing code, allowing anyone—from operations to sales—to automate repetitive workflows within minutes. These agents can manage complex tasks like summarizing meetings, labeling high-priority emails, translating action items, and routing attachments into Drive and Sheets. By connecting to Gmail, Chat, Calendar, Drive, Docs, and hundreds of business apps via prebuilt connectors, Workspace Studio centralizes automation across the entire workplace ecosystem. The platform offers dozens of ready-made templates so teams can quickly implement popular automations with minimal setup. Organizations benefit from improved productivity, fewer manual errors, and smoother collaboration as Studio agents run continuously in the background. With enterprise-level security, granular admin controls, and support for DLP, Workspace Studio ensures automations stay compliant with company policies. It’s the fastest way for businesses to scale AI-powered workflows across departments without requiring traditional development resources.

Breakout is an innovative AI-driven solution designed to transform static websites into dynamic, personalized sales and engagement platforms. After a straightforward installation through a simple script, Breakout automatically starts to recognize visitors by utilizing various data points such as reverse-IP addresses, UTM parameters, first-party cookies, CRM information, and user browsing habits, which collectively construct a comprehensive 360° buyer profile in real time. By integrating the company’s knowledge repository—including FAQs, case studies, product documentation, and transcripts from past sales calls—Breakout's unique "knowledge graph" allows the system to present tailored content or actionable next steps for each visitor, which could include anything from a modified headline to a relevant case study, a video or demo suggestion, a competitive analysis, a scheduling link for a demo, or even a direct connection to a sales representative. With the introduction of "Breakout Blocks," these AI-enhanced elements adjust dynamically for each visitor, ensuring that every user experiences a customized journey rather than a generic one-size-fits-all approach. This level of personalization not only enhances user engagement but also significantly improves potential conversion rates.

The Gemini 2.5 Flash TTS model represents the latest advancement in Google’s Gemini 2.5 series, focusing on rapid, low-latency speech synthesis that produces expressive and controllable audio output. This model introduces notable improvements in tonal variety and expressiveness, enabling developers to create speech that aligns more closely with style prompts, whether for storytelling, character portrayals, or other contexts, thus achieving a more authentic emotional depth. With its precision pacing feature, it can adjust the speed of speech based on the context, allowing for quicker delivery in certain sections while also slowing down for emphasis when required, following specific instructions. Additionally, it accommodates multi-speaker dialogues with consistent character voices, making it suitable for various scenarios such as podcasts, interviews, and conversational agents, while also enhancing multilingual capabilities to maintain each speaker's distinct tone and style across different languages. Optimized for reduced latency, Gemini 2.5 Flash TTS is particularly well-suited for interactive applications and real-time voice interfaces, ensuring a seamless user experience. This innovative model is set to redefine how developers implement voice technology in their projects.

Gemini 2.5 Pro TTS represents Google's cutting-edge text-to-speech technology within the Gemini 2.5 series, designed to deliver high-quality and expressive speech synthesis tailored for structured audio generation needs. This model produces lifelike voice output that boasts improved expressiveness, tone modulation, pacing, and accurate pronunciation, allowing developers to specify style, accent, rhythm, and emotional subtleties through text prompts. Consequently, it is ideal for a variety of uses, including podcasts, audiobooks, customer support, educational tutorials, and multimedia storytelling that demand superior audio quality. Additionally, it accommodates both single and multiple speakers, facilitating varied voices and interactive dialogues within a single audio output, and supports speech synthesis in various languages while maintaining a consistent style. In contrast to faster alternatives like Flash TTS, the Pro TTS model focuses on delivering exceptional sound quality, rich expressiveness, and detailed control over voice characteristics. This emphasis on nuance and depth makes it a preferred choice for professionals seeking to enhance their audio content.

Google has unveiled enhanced Gemini audio models that greatly broaden the platform's functionalities for engaging and nuanced voice interactions, as well as real-time conversational AI, highlighted by the arrival of Gemini 2.5 Flash Native Audio and advancements in text-to-speech technology. The revamped native audio model supports live voice agents capable of managing intricate workflows, reliably adhering to detailed user directives, and facilitating smoother multi-turn dialogues by improving context retention from earlier exchanges. This upgrade is now accessible through Google AI Studio, Gemini Enterprise Agent Platform, Gemini Live, and Search Live, allowing developers and products to create dynamic voice experiences such as smart assistants and corporate voice agents. Additionally, Google has refined the core Text-to-Speech (TTS) models within the Gemini 2.5 lineup to enhance expressiveness, tone modulation, pacing adjustments, and multilingual capabilities, resulting in synthesized speech that sounds increasingly natural. Furthermore, these innovations position Google's audio technology as a leader in the realm of conversational AI, driving forward the potential for more intuitive human-computer interactions.

TURBOARD is an all-encompassing business intelligence and data analytics platform designed to consolidate disparate business data into cohesive, visual dashboards and reports through an easy-to-use drag-and-drop interface, complemented by a conversational AI assistant that facilitates quick and accessible analysis. Users can connect seamlessly to a variety of major data sources, enabling the automatic transformation of raw data into visually appealing charts, scorecards, and key performance indicators, while also leveraging built-in AI to extract insights by posing questions in natural language. The platform provides advanced analytical capabilities, including predictive modeling, trend analysis, SQL-based expressions, extended filtering options, what-if scenarios, spreadsheet-like calculations, and geospatial visualization through interactive map layers. Additionally, TURBOARD features versatile export options, conditional formatting, customizable themes, and strong integration capabilities that allow users to embed dashboards into other external systems, thus enhancing its utility in diverse business environments. With its comprehensive set of tools, TURBOARD empowers users to derive actionable insights from their data efficiently and effectively.

Nano Banana 2 is the newest evolution of Google’s image generation technology, merging the intelligence of Nano Banana Pro with the rapid performance of Gemini Flash. Designed for both speed and quality, it enables users to generate high-fidelity visuals with advanced reasoning capabilities. The model leverages Gemini’s world knowledge and real-time web grounding to render accurate subjects and informative visuals. It improves text rendering accuracy, allowing users to create legible designs and even translate text directly within images. Enhanced instruction adherence ensures the final output closely matches detailed and nuanced prompts. Nano Banana 2 supports consistent character and object representation across complex workflows, making it ideal for storytelling and creative production. It also provides flexible output formats, from 512px images to full 4K resolution. Visual fidelity upgrades bring sharper textures, richer lighting, and more vibrant detail. Integrated across products like the Gemini app, Search, AI Studio, Google Cloud Vertex AI, and Ads, it fits seamlessly into various workflows. By closing the gap between speed and quality, Nano Banana 2 delivers professional-grade image generation at Flash-level performance.

The HelpNow Agentic AI Platform by Bespin Global is a robust automation and orchestration solution designed for enterprises, enabling them to swiftly develop, implement, and oversee autonomous AI agents that are specifically aligned with their business processes, all without the need for extensive coding skills. This is achieved through a visual interface known as Agentic Studio and a centralized management portal, which allows for the creation of both single and multi-agent workflows, seamless integration with current systems using APIs and connectors, and real-time performance monitoring through an Agent Control Tower that ensures governance, enforces policies, and maintains quality standards. Furthermore, the platform facilitates LLM orchestration, accommodates various input formats (including text, voice, and STT/TTS), and offers flexible deployment options across multiple cloud environments such as AWS, GCP, Azure, and on-premises solutions, while ensuring connectivity to internal data and documents. By tapping into context-rich enterprise information, these agents are empowered to perform effectively. Additionally, the platform encompasses features for managing the entire lifecycle of agents, providing real-time observability, and integrating with both voice and document processing systems, all while adhering to enterprise governance protocols. Thus, organizations can harness advanced AI capabilities without compromising on control or oversight.

TextGuard.ai serves as a comprehensive solution for writing and content validation, enabling users to assess originality, identify AI-generated material, enhance readability, and rephrase text without losing its original essence. The platform features an AI detection tool that evaluates written content for signs of machine involvement, alongside a plagiarism detection system to ensure originality against internet sources. Moreover, it includes a humanization tool that transforms rigid or artificial-sounding phrases into more fluid, natural language. Users benefit from grammar and style checks that identify mistakes and refine sentences for improved clarity and engagement, while also utilizing paraphrasing features to generate distinct iterations of essays or assignments. With the ability to paste text or upload documents for evaluation, users can specify their preferred readability standards and receive prompt feedback aimed at maintaining authenticity and simplicity in writing. The diverse array of tools provided by TextGuard is designed to cater to various writing requirements, from professional emails to academic essays, aiding writers in avoiding unintentional plagiarism and swiftly correcting errors. Ultimately, TextGuard.ai promotes a seamless writing experience by equipping users with essential resources for effective communication.

Fluent is a macOS-native AI writing and productivity assistant built to eliminate constant app switching. It injects AI directly into any application, using live context to deliver more relevant and accurate responses. Users can write with the right tone, chat with documents, and compare outputs without losing formatting. Fluent supports more than 500 AI models, giving users the freedom to bring their own API keys or run local models for maximum privacy. The Smart Panel works instantly across apps like browsers, email, notes, messaging, and productivity tools. Customizable shortcuts and actions allow users to tailor Fluent to their workflows. Memory and context awareness enable smarter, more consistent results over time. MCP support and dynamic prompt variables unlock advanced automation use cases. Fluent runs fast on both Apple Silicon and Intel Macs. With a one-time purchase and lifetime upgrades, Fluent is built for long-term productivity.

The Voyage 4 model family from Voyage AI represents an advanced era of text embedding models, crafted to yield superior semantic vectors through an innovative shared embedding space that allows various models in the lineup to create compatible embeddings, thereby enabling developers to seamlessly combine models for both document and query embedding, ultimately enhancing accuracy while managing latency and cost considerations. This family features voyage-4-large, the flagship model that employs a mixture-of-experts architecture, achieving cutting-edge retrieval accuracy with approximately 40% reduced serving costs compared to similar dense models; voyage-4, which strikes a balance between quality and efficiency; voyage-4-lite, which delivers high-quality embeddings with fewer parameters and reduced compute expenses; and the open-weight voyage-4-nano, which is particularly suited for local development and prototyping, available under an Apache 2.0 license. The interoperability of these four models, all functioning within the same shared embedding space, facilitates the use of interchangeable embeddings, paving the way for innovative asymmetric retrieval strategies that can significantly enhance performance across various applications. By leveraging this cohesive design, developers gain access to a versatile toolkit that can be tailored to meet diverse project needs, making the Voyage 4 family a compelling choice in the evolving landscape of AI-driven solutions.

EnFi is a cutting-edge lending platform powered by AI that streamlines and speeds up intricate credit processes for banks, private lenders, and various financial institutions, efficiently converting raw documents and data into structured insights ready for analysis, which enhances deal screening, underwriting, portfolio management, and risk evaluation. Featuring a multi-agent AI framework, it utilizes specialized agents adept at handling financial documents to pull relevant data, standardize financial details, create detailed credit memos and term sheets, as well as perform thorough risk evaluations, all while ensuring outputs are explainable and decisions are fully traceable. By significantly minimizing the need for manual data entry, it accelerates both the evaluation and analysis phases, while also facilitating ongoing portfolio oversight by identifying covenant breaches, consolidating borrower information, and delivering timely, actionable insights. This innovative approach not only boosts efficiency but also enhances the decision-making process within the lending landscape.

Gemini 3.1 Pro represents the next evolution of Google’s Gemini model family, delivering enhanced reasoning and core intelligence for demanding tasks. Designed for situations where nuanced thinking is required, it significantly improves performance across logic-heavy and unfamiliar problem domains. Its verified 77.1% score on ARC-AGI-2 highlights its ability to solve entirely new reasoning patterns, marking a major leap over Gemini 3 Pro. Beyond benchmarks, the model translates advanced reasoning into practical use cases such as visual explanations, structured data synthesis, and creative generation. One standout capability includes generating lightweight, scalable animated SVG graphics directly from text prompts, suitable for production-ready web use. Gemini 3.1 Pro is available in preview for developers through the Gemini API, Google AI Studio, Gemini CLI, Antigravity, and Android Studio. Enterprises can access it through Gemini Enterprise Agent Platform and Gemini Enterprise environments. Consumers benefit through the Gemini app and NotebookLM, with higher usage limits for Google AI Pro and Ultra subscribers. The release aims to validate improvements while expanding into more ambitious agentic workflows before general availability. Gemini 3.1 Pro positions itself as a smarter, more capable foundation for complex, real-world problem solving across industries.

Little Language Lessons (LLL) is an innovative AI-driven language-learning initiative from Google Labs, aimed at personalizing and contextualizing everyday language practice. Utilizing Google’s Gemini models, this project features concise interactive tools that enable users to acquire vocabulary, phrases, and practical expressions in real-life situations, moving away from the reliance on conventional textbook methods. One of its components, Tiny Lesson, offers relevant words, phrases, and grammar tailored to specific contexts; Slang Hang creates authentic dialogues to familiarize learners with idioms and local slang; and Word Cam leverages the camera to immediately recognize objects and suggest appropriate vocabulary. The overarching objective of LLL is to enhance traditional study techniques by encouraging learners to form habits and seamlessly weave language acquisition into their daily activities, such as placing an order at a restaurant or articulating their environment. This approach not only fosters engagement but also empowers learners to interact more confidently in various social scenarios.