Business Software for Google Cloud Platform

Google AI Threat Defense is a comprehensive AI-driven security platform that empowers organizations to outpace increasingly sophisticated cyber threats through intelligent risk detection, prioritization, remediation, and continuous monitoring. The solution combines advanced AI technologies, including Gemini and other frontier models, with Wiz’s contextual risk prioritization, CodeMender’s remediation capabilities, and Mandiant’s threat intelligence expertise to create an autonomous security framework capable of operating at machine speed. Through its Prepare phase, organizations gain deep visibility into multicloud, SaaS, AI, and hybrid environments by identifying attack paths, shadow assets, exposed services, and ownership gaps. The Scan phase uses AI-powered analysis and adversarial testing to validate vulnerabilities, analyze codebases, enrich findings with runtime context, and generate actionable response plans. During Remediation, the platform accelerates issue resolution by generating environment-specific code fixes directly within developer workflows while supporting large-scale vulnerability management and automated triage. The Monitor phase provides machine-speed detection and response capabilities, leveraging AI-driven monitoring, threat detection, and security operations automation to identify and respond to emerging threats across infrastructure, applications, identities, and networks. By integrating visibility, intelligence, automation, and remediation into a unified platform, Google AI Threat Defense helps organizations strengthen cybersecurity posture, reduce risk exposure, and respond more effectively to evolving attack techniques.

General Analysis serves as a cutting-edge AI security platform designed to aid security teams in adversarially testing, monitoring, and safeguarding AI agents and systems that are actively deployed. Its primary objective is to enable organizations to grasp AI-related risks, avert potential incidents, and secure various real-world AI applications, which include employee copilots, coding agents, customer support tools, healthcare assistants, legal aids, financial copilots, and creative workflows. By mapping out AI applications and agents through an extensive range of parameters such as prompts, retrieval methods, tools, MCP servers, browser activities, permissions, repositories, cloud accounts, SaaS workflows, and business processes, it effectively identifies context-aware attacks that highlight vulnerabilities within the system. The platform's automated red teaming employs adaptable attacker models that respond to target behaviors and generate complex multi-step exploit chains, providing security teams with the ability to discover vulnerabilities that traditional static prompt sets or endpoint-only testing might overlook. Ultimately, General Analysis empowers organizations to enhance their AI security posture while ensuring that their deployments remain resilient against evolving threats.

Puter.js serves as the backend for applications powered by AI, enabling you to leverage your current AI coding tool to develop fully functional apps while reducing AI token usage by as much as 90%. This comprehensive JavaScript library integrates features such as authentication, cloud storage, databases, and support for various AI models including OpenAI, Claude, Gemini, Grok, Kimi, and DeepSeek, all without the need for API keys or complex setup processes. With its streamlined approach, you can focus on creating innovative applications more efficiently.

Bluedoor serves as a comprehensive data API platform that prepares global data for AI applications by transforming disparate records into organized and accessible datasets spanning various sectors such as finance, recruitment, legal affairs, real estate, and more. The platform efficiently manages the intricate tasks of sourcing, cleansing, structuring, and providing data via APIs that can be utilized directly by agents, developers, and organizations within their products, workflows, and research methodologies. It boasts a variety of live datasets that include financial data, job advertisements, Airbnb listings, registered contractors, H-1B employment opportunities, properties in Florida, and records from the San Francisco Superior Court. Among its offerings, the Financial Data API delivers both real-time and historical insights on a vast array of public assets, featuring hundreds of routes and accessing 26 independent sources, covering over 100,000 instruments that include equities, ETFs, options, futures, commodities, interest rates, foreign exchange, and indices. This extensive range of data empowers users to make informed decisions based on up-to-date information tailored to their specific needs.

Usage.ai is a cloud cost optimization solution designed to assist businesses in reducing their expenses by 30–50% on platforms such as AWS, GCP, and Azure. By leveraging AI and machine learning, it provides automated recommendations and fully insured commitments for managing Reserved Instances and Savings Plans without requiring any engineering resources or upfront payments. The setup process is quick, taking less than half an hour, and only requires access to billing layers, eliminating the need for any changes to existing infrastructure. Users are charged only when Usage successfully saves them money, making it a risk-free option. Many companies, including Motive, EVGo, and Blank Street Coffee, have placed their trust in this service. Key features include Autopilot, multi-organization reporting, showback support, and dedicated assistance via Slack or email, ensuring comprehensive support for all users. The platform's ease of use and efficiency make it an attractive choice for organizations looking to optimize their cloud spending.

Targon offers a secure cloud computing environment designed for efficiently scaling AI workloads with high-speed GPUs and CPUs suitable for training and deployment purposes. With a user-friendly API, SDK, and CLI, it simplifies the management of various workloads, including rentals, serverless applications, persistent volumes, web endpoints, and inference of large language models. At its core, Targon leverages confidential computing principles without compromise, utilizing a decentralized network of trusted execution environments to enhance security. The Targon Virtual Machine maintains data confidentiality through hardware-backed protection powered by Intel TDX, while NVIDIA's Confidential Computing and PCIe Confidentiality technologies safeguard data even on untrusted hardware. Users can choose to deploy confidential compute environments, establish connections to GPU servers with configured SSH keys, or leverage serverless containers that intelligently auto-scale in response to user traffic demands. This flexibility allows organizations to tailor their computing resources to meet fluctuating needs while ensuring stringent security measures are upheld.

Spire seamlessly integrates with your existing infrastructure, including AWS, GitHub, GCP, Vercel, Cloudflare, Clerk, Supabase, Stripe, and Resend, to continuously gather compliance evidence such as CloudTrail logs, IAM policies, branch protection measures, secret scanning results, MFA enforcement data, and more. An AI agent meticulously assesses this evidence against 66 distinct controls related to SOC 2 Type II and the EU AI Act, generating outcomes that indicate pass, fail, or warning statuses, along with citations of the evidence and guidance for remediation. The questionnaire feature allows for the submission of vendor security assessments in various formats—be it PDF, DOCX, CSV, or markdown—where the AI intelligently correlates each query with your evidence library, crafting responses complete with confidence scores, attaching relevant supporting evidence, and marking any uncertain answers for further scrutiny. As a result, a comprehensive 200-question questionnaire can be completed in less than four hours, a significant reduction from the original 40-hour estimate. Furthermore, the dashboard provides a dynamic overview of control statuses, a summary of AI compliance with a detailed gap analysis, a controls grid featuring progress indicators, and the ability to export structured evidence for auditors. This enhanced visibility and efficiency empower organizations to maintain robust compliance more effectively than ever before.

Elentaria serves as the agentic revenue execution framework for B2B teams, enabling revenue operations without constraints. It integrates seamlessly with your marketing, sales, and data platforms, consolidating all channels into a single view that empowers you to determine what to enhance, rectify, or discontinue, while simultaneously automating execution in collaboration with a senior go-to-market expert. Initially, Elentaria gains insights into your sales process by analyzing public data, your technology stack, and conducting a strategic call with a go-to-market specialist, thereby crafting a detailed understanding of your ideal customer profile, offerings, market landscape, competing entities, brand messaging, writing standards, and other critical factors. This foundational knowledge informs all subsequent outcomes. By having all channels unified in one layer, teams can effectively assess performance against targets across a diverse array of platforms including cold email, LinkedIn outreach, LinkedIn posts, Instagram, X, Google Ads, Meta Ads, LinkedIn Ads, SEO, referrals, events, cold calls, newsletters, webinars, partnerships, directories, YouTube, podcasts, resellers, affiliates, community, and public relations. This comprehensive approach ensures that every piece of data contributes to a holistic view of revenue execution.

Decision Spot represents an advanced era of decision support software designed to enhance the efficiency and clarity of supply chain decision-making processes. By facilitating scenario testing, trade-off assessments, and collaborative alignment, it allows teams to make informed choices prior to investing resources or finalizing strategies. Its platform, known as Foresta, integrates mathematical optimization, artificial intelligence, and user-friendly design into a single adaptable solution tailored for modelers, planners, and leaders, ensuring that everyone has access to the necessary insights. Foresta is equipped to manage intricate supply chain decisions encompassing network optimization, inventory management, transportation logistics, demand forecasting, and planning for fulfillment capacity, enabling teams to explore comprehensive questions related to the supply chain, inventory, and transportation decisions all in one centralized location. The scenario management feature empowers users to analyze multiple potential futures simultaneously, executing hundreds of scenarios in parallel while comparing various outcomes and their associated costs, ultimately providing a robust framework for strategic planning. This innovative approach not only fosters collaboration among different roles but also enhances the overall effectiveness of supply chain operations.

Stallari transcends the role of a personal assistant, serving as your reliable Chief of Staff specifically designed for macOS and Apple Silicon. It assigns specialized agents to interact with your existing tools whenever desired—be it on a set schedule, triggered by an event, or instantly upon request—while ensuring that your information and activities remain securely stored and every choice is transparent and auditable. What sets Stallari apart is its functionality without relying on cloud services; its Autonomous Dispatch feature enables agent workflows to operate automatically, allowing your inbox to be managed at 6 a.m. and your daily brief to arrive before you even have your morning coffee, all without the need for keeping a browser tab open. Moreover, Stallari Memory empowers agents to learn progressively from observations, decisions, corrections, and commitments, with the memory securely encrypted on your Mac and exportable in a signed, portable format. Additionally, the Fleet Coordination feature enables users to integrate multiple Macs into a cohesive Fabric, facilitating the distribution of dispatches, reducing redundant tasks, and sharing state seamlessly via the user’s vault. With such a comprehensive suite of features, Stallari not only enhances productivity but also fosters collaboration across devices effortlessly.

Spillover is a comprehensive growth platform tailored for the restaurant industry, unifying digital marketing, online sales, reputation management, and guest interaction into a single, streamlined Command Center. This platform enables restaurants to oversee their websites, menus, events, inquiries, SEO, data analytics, online ordering, e-commerce, reservations, customer information, and campaign metrics all in one place, eliminating the hassle of managing multiple logins and disparate tools. Customized, professional websites are designed for each brand, ensuring guests can easily access vital information such as locations, hours, menus, reservations, catering options, gift cards, and other actionable services. ENGAGE offers robust email and text marketing solutions, featuring segmented subscriber lists, automated customer interactions, pre-designed campaign templates, AI-driven content generation, a collaborative media library, QR codes, surveys, and real-time click analytics that enhance engagement. Additionally, SENALYSIS consolidates social media interactions, reviews, messages, and business profiles, empowering teams to craft and schedule effective marketing campaigns with ease while keeping track of their performance. This all-in-one solution is ideal for restaurants looking to optimize their operations and strengthen their customer relationships.

Vailor is an entirely AI-driven platform designed for governance, risk management, and compliance in the cybersecurity sector, which consolidates risk evaluations, adherence to regulations, audits, asset management, organizational structures, and oversight of third parties into a single, cohesive source of truth. The organizational component of Vailor models multi-tenant entities, outlining perimeters and assets while incorporating unique configurations, data isolation, and governance tailored to each entity. Business teams can initiate projects using an AI-supported pre-assessment questionnaire that gathers crucial information, conducts an initial evaluation, and directs it through a streamlined validation workflow. When it comes to risk assessments, Vailor provides support at every stage, offering contextual scenario recommendations, a variety of methodologies, and automated generation of deliverables. Additionally, the compliance module aligns organizations with regulatory mandates, continually identifies and monitors gaps, suggests remediation strategies, and automatically produces necessary evidence and documentation. With such comprehensive features, Vailor empowers organizations to enhance their cybersecurity posture effectively.

Lyria 3.5 is the latest AI music generation model from Google DeepMind, engineered to assist users in crafting more intricate and high-quality tracks with enhanced musical and technical precision. Integrated into Google Flow Music, this model elevates musical creativity by offering more sophisticated and nuanced melodic patterns, as well as a deeper comprehension of rhythm, arrangement, tempo, dynamics, and acoustic subtleties. The improved lyric generation capabilities ensure better adherence to prompts and a heightened awareness of structure, while the updated vocal features provide more lifelike expression, emotional depth, and clearer articulation. Users can start with a basic concept or elaborate on their vision by specifying details such as genre, instrumentation, mood, key, tempo, vocal style, language, and production characteristics, allowing for a tailored sound experience. Lyria 3.5 accommodates varying song lengths, enabling creators to request anything from a brief 60-second snippet to a full-length track, up to three minutes in duration. Moreover, it can generate music across diverse genres and languages, encompassing styles ranging from pop, funk, and R&B to reggaeton and jazz fusion, making it a versatile tool for musicians worldwide. This flexibility empowers artists to explore and innovate within their musical endeavors.

Mavvrik operates as a sophisticated platform for managing costs associated with AI and hybrid infrastructure, providing a centralized hub for finance, FinOps, IT, and engineering teams to oversee GenAI, autonomous agents, GPUs, cloud systems, on-premises resources, Kubernetes, data platforms, and SaaS solutions. By consolidating cost, usage, and telemetry data from major providers such as AWS, Azure, Google Cloud, Oracle, VMware, NVIDIA, OpenAI, Anthropic, Gemini, Snowflake, Databricks, and LiteLLM, it establishes a comprehensive source of truth for the entire technology ecosystem. Teams can meticulously monitor each model interaction, agent engagement, GPU utilization, and resource workload, allowing for precise spending allocation across various dimensions, including customer, product, feature, project, application, environment, team, or cost center. Through in-depth analysis of cost-to-serve and unit economics, Mavvrik uncovers margin losses, identifies costly workloads, and clarifies the actual expenses involved in delivering each service. Additionally, its capability for real-time anomaly detection and alerts serves to flag unusual usage patterns before they escalate into unexpected budget overruns, while its predictive forecasting tools assist organizations in effectively modeling their cloud, GPU, and AI-related expenditures. This holistic approach empowers teams to make informed financial decisions and optimize resource utilization for sustained growth.

Darktrace / CLOUD serves as an AI-enhanced solution for detecting and responding to cyber threats, specifically designed to enhance cyber resilience in hybrid and multi-cloud settings. Utilizing its Self-Learning AI capabilities, it constantly observes cloud assets, containers, APIs, users, identities, and network behavior to establish what is typical, allowing it to identify both familiar and unprecedented threats instantaneously. The Cyber AI Analyst efficiently triages alerts and quickens the investigative process, while the platform's Autonomous Response feature can accurately neutralize harmful activities without causing disruption to cloud infrastructure or ongoing services. This solution offers continuous, real-time insight into the changing landscapes of cloud architectures, workloads, access permissions, and live threat detections, facilitating collaboration between SecOps and DevOps teams through a unified perspective. It effectively prioritizes issues such as misconfigurations, excessive permissions, vulnerable devices, and critical attack vectors based on the business context, thereby aiding in proactive risk mitigation and ensuring cloud compliance. Furthermore, the integration of advanced analytics allows organizations to adapt their security postures dynamically as their cloud environments evolve.

Darktrace / OT is an advanced AI-driven security platform specifically designed for safeguarding critical infrastructure, integrating threat detection and response with contextualized risk management for operational technology that surpasses mere CVE scoring. This innovative solution identifies and visualizes devices operating on both IT and OT protocols, offering comprehensive visibility throughout all levels of the Purdue Model from a secure foundation. By employing both passive and active scanning techniques, it maintains an up-to-date inventory of assets while highlighting vulnerabilities and the status of devices nearing their end of life. Furthermore, its real-time monitoring capabilities extend to specialized industrial protocols, production assets, and connected IT systems, ensuring thorough oversight. The Self-Learning AI component adeptly recognizes standard operational patterns, thereby enabling the detection of insider threats as well as known, unknown, and zero-day vulnerabilities on a large scale. In addition, the Cyber AI Analyst feature performs automatic investigations of activities across both IT and OT environments, efficiently prioritizing critical incidents and summarizing findings for production engineers and security analysts alike. Lastly, the Autonomous Response functionality allows for the initiation of specific, pre-approved measures to effectively halt and contain emerging threats, thereby enhancing the overall security posture of the infrastructure. This holistic approach makes Darktrace / OT an indispensable tool in the realm of cybersecurity for critical systems.

Kana is an innovative marketing platform that empowers teams to convert disjointed marketing data into timely decisions and quantifiable business results. By integrating data throughout the marketing landscape, it consolidates information that is typically scattered across various tools and uncovers emerging patterns, risks, behavioral cues, and opportunities. The platform provides recommendations and implements next-best actions, eliminating the need for manual speculations with decisions grounded in data aimed at enhancing performance. Serving as a marketing operating layer, Kana interfaces with email services, advertising platforms, CRMs, spreadsheets, and other software, utilizing AI agents to synchronize data and actions seamlessly. Unlike traditional generative AI that merely responds to user queries, its agents are designed to pursue objectives, orchestrate complex workflows, analyze signals in real-time, and carry out actions throughout the marketing infrastructure, thus enabling a more cohesive and efficient marketing strategy. This holistic approach ensures that teams can navigate their marketing efforts with greater agility and insight.

NetSapiens offers a comprehensive UCaaS solution that empowers service providers to present customized cloud communication services encompassing voice, video conferencing, messaging, mobile, and contact center functionalities. The platform features branded voice solutions that seamlessly integrate with customer tools, provide high-definition video conferencing accessible from any device, and include business messaging, enhanced SMS features, along with robust security, encryption, compliance measures, and fraud deterrent systems. Its open, API-first design facilitates connections with over 400 applications, enabling providers to create tailored applications and unique communication experiences. Additionally, NetSapiens incorporates AI-enhanced voice functionalities such as voicemail and call recording transcription, sentiment analysis, text-to-speech, smart call routing, appointment scheduling, lead generation, and after-hours support. Its mobile functionalities ensure that users can enjoy voice calls, messaging, video conferencing, presence indication, contact management, voicemail access, fax services, and call history across various devices, thus enhancing the overall user experience. This extensive functionality makes NetSapiens a versatile choice for organizations aiming to streamline their communication processes.

TrafficHive is an advanced marketing automation platform powered by AI, designed to effectively capture leads, provide immediate responses, schedule appointments, and automate follow-up processes throughout the customer journey. Featuring AI voice agents that operate 24/7 to answer and qualify incoming calls, along with Instant Autorespond that manages texts, web forms, and inquiries from lead platforms within seconds through context-sensitive replies, this system ensures that no opportunity is missed. Qualified leads can be seamlessly integrated into calendars or transferred to dispatch and sales systems, while automated follow-up sequences persistently engage with leads that don't respond right away. The platform merges various functionalities, including lead capture and funnels, CRM and pipeline management, workflow automation, SMS and email communication, AI voice technology, reputation management, payment processing, and real-time analytics into a single, user-friendly dashboard. Teams can create and manage complex multi-channel workflows featuring triggers, actions, conditional logic, lead scoring, routing, and internal notifications, allowing for streamlined communication and enhanced productivity. With these comprehensive tools at their disposal, organizations can optimize their marketing efforts and improve overall customer engagement.

Insights by Promevo serves as a read-only reporting and governance tool tailored for organizations leveraging Gemini Enterprise and Google Cloud. This platform consolidates reporting on various aspects including Gemini license usage, custom AI agents, cloud access, and associated costs for both AI and cloud services. Teams are empowered to analyze license utilization and pinpoint idle seats, manage inventories of custom agents, and assess their performance, tools, health, and any errors that may arise. Additionally, it enables the allocation of token or model expenditures to specific teams and projects. The FinOps dashboards provide valuable insights into cloud spending trends and allow for comparisons between budgeted amounts and actual spending, while access reports effectively link users to Google Cloud assets, aiding in the identification of excessive permissions. Designed to operate via read-only APIs, the product ensures that it does not interfere with customer environments or access prompt content. In conjunction with gPanel, Promevo enhances the management capabilities of Insights, making it an essential tool for organizations seeking comprehensive governance and reporting solutions.

Clone Systems Security Operations offers a comprehensive managed security service that features continuous analyst monitoring paired with the vendor's exclusive SIEM and endpoint detection and response capabilities. This service gathers logs and telemetry from various sources, including servers, endpoints, cloud platforms, and network devices. SOC analysts utilize analytics and threat intelligence to examine and prioritize events, inform customer teams, and assist in containment and remediation efforts. The offerings encompass managed SIEM, log collection, incident reporting, and a dedicated customer dashboard to track SOC activities. Additionally, optional AI-driven triage and incident summaries can enhance the service experience. Aimed at mid-market clients like financial institutions, healthcare providers, and e-commerce or cloud-native teams, this service allows organizations to benefit from around-the-clock monitoring without the need to maintain an internal SOC. The pricing structure is determined by the number of monitored endpoints, starting with a minimum of 50 endpoints to ensure effective security management. Furthermore, the service is designed to adapt to the evolving threat landscape, providing organizations with peace of mind as they navigate their digital environments.

Zerostand is a self-managed privileged access management solution designed for security and IT teams overseeing access to various resources such as servers, databases, web consoles, and workload identities. It provides temporary, policy-compliant access for users and services, incorporating approval workflows, configurable access periods, ticket validation, and multi-factor authentication. The platform effectively facilitates SSH, RDP, database, and web sessions, while also offering a secure vault for managing accounts that still rely on passwords, complete with scheduled updates and verification processes. Integration with workload identities allows services to authenticate via Kubernetes, AWS, Azure, Google Cloud, or OIDC. Administrators have the ability to discover user accounts, conduct recertification initiatives, and generate audit evidence reports. Zerostand operates within containers on customer-controlled infrastructure, whether on-site or in the cloud, enabling flexibility for users. Individuals authenticate using supported OIDC identity providers, with the specific features available depending on the target system, ensuring a tailored access experience. This comprehensive approach to access management not only enhances security but also streamlines the management process for IT teams.

Atronous serves as an AI-driven Product Data Intelligence Engine designed to create, confirm, and activate accurate product information for brands, manufacturers, distributors, and retailers alike. This platform converts unrefined and partial data into organized, ready-for-channel product information suitable for enterprise systems, search engines, recommendations, and AI-driven commerce solutions. By automating the ingestion of data from various formats such as PDFs, spreadsheets, images, drawings, CAD files, APIs, and live feeds, it effectively normalizes, validates, and standardizes records on a large scale. Its AI-enhanced features are capable of generating missing attributes, enriching product descriptions, identifying both complementary and compatible products, and ensuring alignment with retailer-specific taxonomies. In addition, a deterministic constraint validation engine rigorously verifies product records across over 400 categories to guarantee adherence to GS1 standards, marketplace requirements, and identifier regulations. The comprehensive approach taken by Atronous not only streamlines product data management but also enhances the overall quality and reliability of the information provided to users.

Model Garden serves as a catalog for AI and machine-learning models within the Google Cloud AI platform. It assists teams in discovering, assessing, tailoring, and implementing Google models alongside selected offerings from partners and open-source creators. Each model page offers tailored guidance and deployment alternatives; based on the specific model, users may have the opportunity to test, use a managed API, adjust settings, or deploy the model to a cloud endpoint. Developers can navigate through the Google Cloud console, utilizing supported APIs, SDKs, and command-line tools for their tasks. This resource is specifically designed for developers, data scientists, and machine-learning teams focused on creating generative AI and various applications powered by models. The availability of models, choices for deployment, and related usage costs can differ based on the model and its configuration. Therefore, users should review the specifics of each model to ensure optimal implementation.

The DonkeyWorks Survey Platform is tailored for executing all types of field-based interview surveys on mobile devices like tablets and smartphones. Its web interface facilitates the creation of questionnaires, the monitoring of survey progress, and the analysis of collected data. Equipped with offline sync capabilities, the tablets allow survey forms to be completed in areas lacking Internet access. Organizations focused on social development and corporate social responsibility (CSR) utilize this platform to implement, oversee, and evaluate the impact of their programs on beneficiaries. Furthermore, the platform also provides personalized counseling services to those beneficiaries. Currently, DonkeyWorks is operational in over 300 districts across more than 20 states in India and has extended its reach internationally. As part of the NASSCOM 10,000 Startups initiative, it is currently incubated at the NASSCOM Warehouse in Noida, India, and receives additional support from Google. The platform continues to evolve and improve to better serve the needs of its users.