Business Software for Google Cloud Platform

Adaptive6 is an innovative platform designed for cloud cost governance and optimization, assisting organizations in identifying, fixing, and averting waste in their cloud infrastructure and coding practices. By continuously monitoring multi-cloud environments, PaaS, and Infrastructure-as-Code setups, it reveals numerous inefficiencies, including hidden "shadow waste" that often goes unnoticed alongside the more apparent cost drivers. The platform equips engineers with in-depth context, AI-generated code corrections, remediation scripts, and automated pull requests to streamline the problem-solving process. Moreover, it integrates shift-left cost control measures into CI/CD pipelines, actively signaling and preventing inefficiencies prior to deployment. Automation of remediation workflows is also a key feature, as it pinpoints resource owners and generates tickets or change requests accompanied by technical advice. With its comprehensive dashboard providing enhanced visibility, recommendations for optimizing over-provisioned cloud and Kubernetes resources, policy enforcement capabilities, and tools that foster cultural accountability, Adaptive6 empowers teams to effectively lower their cloud expenditures while promoting sustainable practices. Ultimately, this platform not only enhances financial efficiency but also contributes to a more responsible approach to cloud resource utilization.

Mesh Security represents an advanced cybersecurity solution grounded in Cybersecurity Mesh Architecture (CSMA), designed to consolidate fragmented security data, tools, and infrastructure into a cohesive, real-time adaptive defense system that aids organizations in the ongoing assessment, prioritization, and reduction of risks across various domains, including identities, endpoints, data, cloud, SaaS, CI/CD, and networks. This platform offers comprehensive posture management that persistently detects and contextualizes significant risks and vulnerabilities throughout the enterprise, converts diverse security signals into a dynamic asset graph for enhanced visibility, and facilitates cross-domain threat detection along with automated responses through AI-enhanced anomaly detection and pre-configured detection rules. Additionally, Mesh Security seamlessly integrates with existing security frameworks in just minutes, streamlining remediation processes and minimizing the attack surface without necessitating new infrastructure investments, while also centralizing policy management, playbook execution, and compliance enforcement in hybrid environments. By providing these capabilities, Mesh Security empowers organizations to maintain robust security postures in an increasingly complex threat landscape.

Saptiva serves as a comprehensive AI infrastructure platform designed for organizations to create, deploy, administer, and scale generative AI workloads while maintaining full authority over their operational environments and data governance policies. Tailored specifically for industries with stringent regulatory requirements, it allows for complete ownership of the technology stack, spanning from computational resources to model orchestration and final deployment, all without the risk of vendor lock-in or data exit issues. This flexibility facilitates secure and modular AI operations, whether in cloud, hybrid, on-premises, edge, or completely air-gapped environments. By leveraging its frIdA control layer, Saptiva ensures seamless orchestration, enhanced observability, robust policy enforcement, and automatically scalable computing resources, accommodating the use of open-source, proprietary, or tailored models that can be integrated through APIs, SDKs, and CLIs. The platform places a strong emphasis on enterprise-level security through features like encryption, stringent access controls, workload isolation, and comprehensive logging capabilities. Additionally, it provides essential modular components such as Optical Character Recognition (OCR), document parsing tools, and entity extraction functionalities to streamline production workflows, ultimately enhancing operational efficiency and security for businesses.

ORION is an innovative data security platform designed specifically for AI, replacing outdated rule-based Data Loss Prevention (DLP) methods by autonomously comprehending and overseeing sensitive data transfers across various channels, including endpoints, cloud services, email, SaaS applications, web platforms, storage systems, and more, utilizing intelligent insights rather than fixed policies. By employing advanced context-aware AI agents, it effectively categorizes both structured and unstructured data, tracks data lineage, monitors identity along with environmental indicators, and identifies subtle signs of risky or abnormal activities that may suggest data exfiltration, enabling organizations to avert leaks in real-time while significantly reducing false positives and requiring minimal initial configuration. Furthermore, ORION is adept at continuously adapting to normal business activities and data movements, allowing it to differentiate genuine actions from possible threats, while also integrating seamlessly with identity and CRM systems to provide richer contextual information. In addition, it can optionally assist in policy enforcement for compliance purposes, all the while maintaining a primary focus on intent-aware detection and proactive prevention strategies. This makes ORION not only a powerful tool for safeguarding sensitive information but also a vital component in enhancing overall organizational security infrastructure.

Nutanix Cloud Platform is an enterprise-grade hybrid cloud solution built to run applications and manage data anywhere. It brings together hyperconverged infrastructure, automation, and cloud services into a single, cohesive platform. Organizations use Nutanix to simplify infrastructure management across on-premises, edge, and public cloud environments. Its software-defined architecture enables faster application development and flexible, server-based scaling. Nutanix provides robust data services that improve data mobility, protection, and security. Consistent operations across environments ensure predictable performance and reduced operational risk. The platform supports modern workloads including virtual machines, containers, and databases. Integrated automation and intelligent operations help teams optimize performance at scale. Nutanix Cloud Platform also enhances cost efficiency through governance, metering, and visibility. Overall, it empowers IT teams to modernize infrastructure while maintaining control and agility.

xCloud.host is an innovative cloud hosting and server management solution aimed at making the hosting, deployment, and management of websites, particularly WordPress and PHP applications, accessible without requiring extensive technical expertise or DevOps skills. This platform merges a robust managed control panel with a global cloud infrastructure, enabling users to effortlessly launch, scale, and monitor their servers and sites through features such as one-click application deployment, optimized NGINX/OpenLiteSpeed configurations, staging environments, and both incremental and full backups. Additionally, it offers SSL provisioning, real-time performance and health monitoring, as well as automated security protocols including firewalls and Fail2Ban protection. Users have the flexibility to link their existing cloud provider accounts, such as DigitalOcean, Vultr, and GCP, or choose to utilize xCloud’s managed servers, which allows for centralized management of servers and sites. The platform also includes team access controls, database management tools, file managers, site cloning capabilities, Git repository deployment, and streamlined migration processes, making it a comprehensive solution for modern web hosting needs. Ultimately, xCloud.host is designed to empower users to focus on their content and growth without getting bogged down by technical complexities.

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.

Netrise is an innovative platform for digital experiences and process automation that allows businesses to effortlessly create, modify, and expand web applications, internal tools, portals, and digital products without the burden of extensive engineering resources. By merging visual development tools with data integrations and automation features in a single cohesive workspace, it enables teams to craft responsive web interfaces and experiences using simple drag-and-drop components. Furthermore, users can seamlessly connect to various internal and external data sources via API connectors, databases, spreadsheets, and SaaS applications, facilitating real-time data flows that enhance dynamic workflows. Netrise also offers robust support for automated logic, user roles, permissions, forms, and multi-step processes, empowering organizations to convert manual tasks into digital formats, standardize their operations, and provide customized digital services for both internal stakeholders and customers alike. This platform not only streamlines the development process but also significantly enhances productivity and user engagement across the board.

Suade is a regulatory technology platform designed to fully automate the process of regulatory reporting for financial institutions, allowing them to navigate complex global compliance demands with enhanced efficiency and precision. By leveraging a data-centric architecture combined with machine learning and natural language processing, it revolutionizes the methods banks use to gather, standardize, and submit their regulatory information. The platform optimizes the entire reporting lifecycle by automating the steps of data preparation, validation, and submission, which minimizes manual involvement and assists organizations in keeping pace with changing standards such as Basel III, PRA, and EBA mandates. Additionally, it establishes direct connections to regulatory portals via APIs, conducts real-time error verification, and preserves comprehensive audit trails that enable firms to monitor each phase of their reporting process. With its unified data model, institutions can map their data just once and apply it across various jurisdictions, facilitating swift adjustments whenever regulatory templates or requirements are revised. This robust approach not only enhances compliance but also allows for a more agile response to ever-evolving regulatory landscapes.

Gemini 3.1 Flash-Lite represents Google’s newest addition to the Gemini 3 family, built specifically for speed and affordability at scale. Engineered for developers managing high-frequency workloads, the model balances performance and cost efficiency without sacrificing quality. It is competitively priced at $0.25 per million input tokens and $1.50 per million output tokens, making it accessible for large production deployments. Compared to Gemini 2.5 Flash, it delivers substantially faster responses, including a 2.5x improvement in time to first token and a 45% boost in output speed. Benchmark evaluations show strong results, with an Elo score of 1432 and leading scores in reasoning and multimodal understanding tests. The model rivals or surpasses similarly tiered competitors while even outperforming some previous-generation Gemini models. A key feature is its adjustable reasoning control, enabling developers to fine-tune how much computational “thinking” is applied to each request. This flexibility makes it ideal for both lightweight tasks like translation and more complex use cases such as dashboard generation or simulation design. Early enterprise adopters have praised its ability to follow instructions accurately while handling complex inputs efficiently. Gemini 3.1 Flash-Lite is currently rolling out in preview within Google AI Studio and Vertex AI for enterprise customers.

Amnic is an innovative FinOps solution that utilizes context-aware AI agents to provide organizations with enhanced visibility and management over their cloud expenditures. By automating the processes involved in cloud cost management, it employs role-specific agents that evaluate usage patterns, identify anomalies, and deliver insights customized for various stakeholders. With robust cloud cost observability features, Amnic allows teams to effectively visualize, analyze, and optimize their infrastructure costs, transforming intricate cloud billing statements into easily understandable actionable data. The tool accelerates cloud financial health assessments, offers insights in natural language, and streamlines reporting processes, thereby minimizing the manual tasks usually associated with FinOps practices. Additionally, its integrated governance mechanisms help track budget variances, ensure proper tagging protocols, and designate ownership, fostering accountability among engineering and finance units. As a result, Amnic not only simplifies financial oversight but also enhances collaborative efforts within organizations.

Pixel is an innovative advertising automation platform powered by AI, designed to create, initiate, and perpetually optimize complete advertising campaigns from just one prompt. Users can input a website link, set a budget and objectives, select a preferred channel, and then observe as the platform autonomously builds audiences, generates creatives, and refines targeting in real time. The system produces tailored ad copy, visuals, and formats for each channel and audience segment, all aligned with the company’s brand identity, before launching the campaigns once they receive approval. Utilizing its patented audience technology, Pixel effectively maps potential buyers across both personal and professional profiles, facilitating cohesive targeting across major platforms like LinkedIn, Meta, Google, and X. Additionally, the platform ensures real-time bid optimization and automatically reallocates budgets toward the channels and creatives that significantly enhance pipeline and revenue, moving beyond mere click metrics. With its robust capabilities, Pixel empowers marketers to achieve their advertising goals more efficiently than ever before.

Reclaim Security is an advanced cybersecurity platform powered by artificial intelligence, designed to autonomously detect and rectify security vulnerabilities within an organization’s current security framework and tools. Rather than merely identifying weaknesses or sending out alerts, it emphasizes automated remediation, enabling security teams to efficiently address misconfigurations, apply security policies, and mitigate risks with minimal manual effort. The platform conducts thorough scans of the organization’s security apparatus, encompassing cloud services, identity management systems, endpoint protection mechanisms, and other defensive measures to uncover deficiencies, poorly configured settings, or ineffective controls that could be targeted by cybercriminals. When vulnerabilities are identified, it evaluates them against real-world attack methodologies and prioritizes the most critical threats. Following this assessment, it suggests appropriate remediation strategies and can automatically implement those adjustments once approved, ensuring that security configurations are consistently optimized and resilient against potential attacks. By streamlining the remediation process, Reclaim Security enhances the overall security posture of an organization.

Tabbit Browser is an innovative web browser that incorporates AI capabilities seamlessly into the online experience, merging browsing, searching, automation, and AI support all in one place. Rather than isolating AI as a standalone chatbot, this browser employs AI tools that are attuned to the context of the webpages, files, and tabs the user is engaging with, enabling a more sophisticated interaction with the content while navigating the internet. Users can enhance the AI's understanding by providing references such as text snippets, screenshots, web pages, or files, which allows the AI to produce targeted answers and insights that are pertinent to what they are currently studying. Additionally, the browser offers the versatility of switching between various advanced AI models like GPT, Gemini, and Claude, empowering users to select the most appropriate model for their specific tasks or workflows. A standout feature of Tabbit Browser is its interactive chat capability with web content; users can highlight text, take screenshots, or refer to pages, prompting the browser to summarize, clarify, or analyze the details without needing to navigate away from the page. This integration of AI not only enhances productivity but also enriches the user’s overall browsing experience.

Beams is a comprehensive SaaS management and work intelligence platform aimed at providing organizations with profound insights into the utilization of digital tools, time management, and resource allocation throughout their workflows. By examining activities within workplace applications, it produces actionable insights that enable companies to discern the extent of tool adoption, identify inefficiencies, and uncover areas of unnecessary expenditure. Through the collection of usage data across various operating systems, browsers, and integrated work applications, Beams offers a cohesive overview of the organization’s software landscape, revealing redundant subscriptions, underused licenses, and overlapping tools that may be streamlined to cut costs. Additionally, it features capacity planning tools that evaluate team schedules, meetings, and focus periods, allowing managers to gauge how employee time is allocated and ascertaining whether teams possess the necessary resources to complete projects in a timely manner. This multifaceted approach not only enhances operational efficiency but also empowers organizations to make informed decisions regarding their digital tool investments.

Knox Systems offers an innovative AI-driven compliance and cloud solution tailored for SaaS companies seeking rapid FedRAMP authorization and secure application deployment for the U.S. government. Its platform features a managed federal cloud environment paired with automated compliance tools that simplify the often arduous certification process, significantly slashing timelines from several years down to as few as 90 days. In addition, it boasts AI-enhanced functionalities, including real-time inventory tracking, automated infrastructure mapping to FedRAMP and NIST security standards, ongoing monitoring, and automated vulnerability remediation, which helps maintain compliance over time. The company maintains a pre-authorized cloud "boundary" that allows applications to adopt necessary security controls, thereby sparing businesses from having to reconstruct their architectures while still adhering to stringent federal standards. This approach not only accelerates compliance but also provides peace of mind for organizations navigating the complexities of federal requirements.

Raven is an innovative runtime application security platform that safeguards cloud-native applications by functioning internally during execution instead of depending on external security measures. By providing real-time insights into the actual operation of code, it can comprehend execution flows, libraries, and behaviors at the function level, which aids in identifying and averting malicious activities before they manifest. In contrast to conventional tools like WAF or EDR that observe from an external viewpoint, Raven integrates within the application itself, thus equipping it to thwart exploits, supply chain attacks, and zero-day vulnerabilities even in the absence of known threats or CVEs. It perpetually scrutinizes runtime activities, detects irregular patterns, or misuse of legitimate operations, and promptly intervenes to halt harmful executions. Furthermore, Raven aids security teams in prioritizing their efforts by sifting through countless irrelevant vulnerabilities, allowing them to concentrate solely on those that pose a genuine risk. This proactive approach not only enhances security but also streamlines the overall security management process, ensuring that resources are allocated effectively.

Native serves as a cloud security control plane aimed at assisting organizations in establishing, executing, and upholding security policies throughout various cloud environments, encompassing contemporary AI infrastructures. Its primary objective is to deliver governance that is inherently secure, allowing teams to manage the provisioning, access, and oversight of AI services and cloud resources within their systems. Users can articulate their desired security objectives, which Native then translates into the necessary technical controls tailored for each cloud provider, thereby removing the need for manual interpretation of best practices or individual policy configurations for multiple environments. Additionally, Native enhances risk management through comprehensive visibility and planning tools that facilitate asset discovery, change simulation, and control implementation to mitigate risks and limit potential damages across systems. Moreover, it incorporates sophisticated functionalities such as environment segmentation, protection of data perimeters, and strategies for managing blast radius containment, further strengthening an organization’s security posture. By integrating these features, Native ensures a robust framework for cloud security management.

Surf AI is an innovative security operations platform aimed at mitigating vulnerabilities and automating remediation by linking context across all enterprise systems, transforming scattered risks into actionable workflows. It tackles the fundamental challenge of increasing security backlogs, recognizing that the primary issue lies not in the number of personnel but in the absence of a cohesive context. By integrating various systems, mapping interdependencies, and designating responsibility for each issue, it effectively addresses this challenge. The platform functions through a continuous loop of gathering data from multiple systems, comprehending ownership and interrelations, evaluating the potential impact before taking action, and resolving issues with safe, automated remediation processes. By bridging tools and data sources, Surf AI empowers teams to associate every exposure with a specific owner, facilitating resolution from start to finish without depending on tickets or manual transitions between teams. Furthermore, it streamlines workflows across systems, thereby considerably minimizing the time dedicated to follow-ups and reducing operational burdens. Ultimately, Surf AI enhances the efficacy of security operations, allowing organizations to respond more swiftly and effectively to emerging threats.

A change data capture (CDC), replication, and synchronization solution for hybrid estates. It securely captures and applies sub-second data changes across mainframe, distributed, and cloud systems—enabling real-time and bidirectional replication where needed—so analytics, AI, and operational apps run on current data. Key capabilities: • Real-time CDC capture/apply with low latency • Bidirectional replication and sync across heterogeneous endpoints • Mainframe-to-cloud replication for modernization and migrations • High-throughput pipelines with minimal disruption to production workloads • Delivery to modern targets (e.g., Snowflake, AWS) without custom code • Security + resilience: encryption and built-in recovery controls Outcomes: fresher data for AI/analytics, faster modernization, and lower mainframe CPU by offloading downstream processing to cloud compute.

Lyria 3 Clip is a short-form AI music generation feature built on Google DeepMind’s Lyria 3 model, designed to quickly turn ideas into compact audio tracks. It allows users to generate short music clips, usually around 30 seconds long, by using simple prompts, images, or videos as input. The system automatically composes complete tracks with vocals, lyrics, and instrumentation, making it accessible to users without musical training. Its strength lies in rapid experimentation, enabling creators to iterate on ideas and test different styles, genres, and moods in seconds. Lyria 3 Clip is available through tools like the Gemini app and developer platforms, allowing integration into creative workflows and applications. It also supports multimodal input, meaning users can generate music based on visual or textual inspiration. The model produces high-quality, shareable outputs that can be used for content creation, social media, and quick sound design. Built with responsible AI practices, it includes safeguards like watermarking to identify generated content. Lyria 3 Clip is particularly useful for quick prototyping of music ideas or generating short soundtracks. Overall, it simplifies music creation by making it fast, intuitive, and accessible to a wide audience.

Inagent is a cutting-edge conversational AI solution tailored for contact centers, featuring autonomous AI agents that excel in comprehending, reasoning, and managing intricate customer interactions across both voice and text channels within a comprehensive omnichannel framework. Utilizing generative AI and contextual awareness, these virtual agents are adept at deciphering messages, making informed decisions, and carrying out tasks linked to business systems like CRM and ERP platforms to fulfill defined operational objectives. This platform empowers organizations to assemble specialized teams of AI agents trained in various business sectors, ensuring precise and effective management of responsibilities such as customer support, sales, appointment coordination, and claims processing, while also facilitating smooth transitions of conversations between AI agents and human representatives when necessary. One of the standout features of Inagent is its rapid deployment capability, allowing activation within minutes through an intuitive no-code interface that only necessitates basic training with existing business knowledge. Furthermore, this innovative technology not only improves operational efficiency but also enhances customer satisfaction by providing timely and accurate responses.

OpenGPU Network serves as a decentralized platform for GPU computing, linking individuals in need of robust processing power with a diverse array of independent GPU suppliers around the world. This innovative system facilitates various demanding tasks such as AI inference, machine learning training, and rendering by harnessing distributed resources rather than relying on traditional centralized cloud services. It functions as an intelligent routing mechanism that dynamically pairs workloads with the available GPU resources globally, enabling immediate task execution without the hassle of infrastructure management or limitations related to regions, queues, or provisioning delays. By consolidating resources from data centers, cloud providers, and personal machines, OpenGPU tackles the increasing disparity between the soaring demand for GPUs and the scattered, underused supply. The platform operates on a blockchain framework, which not only manages task coordination and result verification but also ensures that rewards are fairly distributed, fostering a trustless environment for users. In doing so, OpenGPU not only enhances accessibility to GPU computing but also promotes efficient utilization of computational resources on a global scale.

Depthfirst is an advanced application security platform specifically designed to aid organizations in identifying, prioritizing, and addressing software vulnerabilities by thoroughly understanding their code, infrastructure, and business logic as an integrated system. Central to depthfirst is its "General Security Intelligence," which conducts comprehensive analyses of entire repositories and environments to reveal how systems operate in reality, thus identifying intricate, real-world vulnerabilities that conventional scanners frequently overlook. By assessing complete attack paths, permissions, and data flows, it accurately determines the exploitability of issues, thereby significantly lowering false positive rates and enabling teams to concentrate on substantial risks. Additionally, depthfirst functions across various layers of the technology stack, which includes source code, dependencies, secrets, containers, and live applications, ensuring ongoing security throughout both development and production phases. This holistic approach not only enhances security effectiveness but also streamlines the remediation process for development teams.

Qevlar AI represents an innovative autonomous platform for Security Operations Centers (SOC), fundamentally changing the approach that cybersecurity teams take when it comes to threat investigation and response by fully automating the alert analysis process. In contrast to conventional tools or AI assistants that depend on human intervention or set playbooks, this system autonomously examines alerts immediately upon receipt, aggregating and enhancing data from various security tools and external resources to assess the true nature of each alert. It adeptly correlates and evaluates signals across different systems, reconstructs patterns of attacks, and delivers a comprehensive understanding of incidents, which empowers teams to transcend disjointed workflows and reactive alert management. Utilizing advanced agentic AI, the platform significantly automates many aspects of manual investigations, leading to drastic reductions in response times, heightened consistency, and an increase in the operational capability of security teams without necessitating additional personnel. This innovation not only streamlines processes but also enhances the overall effectiveness of cybersecurity efforts, ensuring teams are better equipped to handle evolving threats.