Business Software for Google Cloud Platform

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.

Linx Security is an innovative identity security and governance platform that leverages AI to provide organizations with comprehensive visibility and control over the complete identity lifecycle. This platform empowers teams to effectively map, monitor, and manage both human and non-human identities across various applications, cloud setups, and on-premises systems, significantly minimizing blind spots and reducing the potential for identity-related attacks. By offering an integrated solution that merges identity, security, and IT operations, Linx allows organizations to efficiently manage access, implement policies, and ensure compliance from a centralized point of operation. Through the use of AI-driven analytics, Linx continuously evaluates identity relationships, entitlements, and access behaviors to identify risks, irregularities, and vulnerabilities, such as inactive accounts, excessive permissions, insufficient authentication measures, or absent security protocols. Additionally, it features capabilities like identity security posture management, just-in-time access, and lifecycle automation, enabling businesses to eliminate standing privileges and enhance their security posture. Ultimately, Linx Security provides a holistic approach to identity management that adapts to the evolving challenges faced by organizations today.

Adroom is an innovative generative AI platform tailored for advertising creatives, allowing teams to swiftly create high-quality, brand-consistent visuals and messaging at scale, effectively overcoming traditional production hurdles. This platform operates as a comprehensive creative studio that transforms concepts into professional-level advertisements in mere seconds, empowering users to rapidly launch multi-channel marketing campaigns with content specifically designed for their target demographics. Utilizing advanced AI, it generates both visuals and copy, ensuring alignment with brand standards such as fonts, colors, tone, and messaging while maintaining a performance-oriented approach across all assets. By automating the creation of marketing materials, it significantly reduces delays in design and copy processes, enabling teams to expand their production capabilities without compromising on quality or coherence. Additionally, it leverages audience insights and trends to develop data-driven creative that is optimized for maximum engagement, while also facilitating dynamic optimization by customizing ads for various target segments. Furthermore, this platform not only enhances creative efficiency but also allows teams to focus more on strategy and innovation, ultimately driving better results in their advertising efforts.

EZConvertBI is an intelligent solution for business intelligence migration that leverages AI to streamline the intricate task of moving dashboards, reports, datasets, and analytics from outdated BI platforms, including Tableau, Qlik, and Power BI, to contemporary, cloud-based environments like Amazon QuickSight, Looker, and Power BI. By utilizing this tool, organizations can achieve migration of BI assets with execution speeds increased by as much as 90% and substantial cost savings, all while ensuring the preservation of visual aesthetics, business logic, SQL queries, extracts, and calculations during the entire process. The solution features an Analyzer component that interfaces with existing BI systems or uploaded workbooks to evaluate complexity, pinpoint duplicate or obsolete dashboards, and produce comprehensive diagnostic reports detailing migration scope, projected costs, and potential impacts. Moreover, its automated conversion engine proficiently maps and transforms dashboards, datasets, and queries into the desired target environment, guaranteeing the maintenance of functionality and the accurate replication of both visuals and underlying logic. This innovative approach not only simplifies the migration process but also empowers businesses to harness the full potential of their data in a modern analytics landscape.

Adswerve serves as a comprehensive platform that integrates data, media, and technology, offering consulting, analytics infrastructure, and AI-driven solutions to assist businesses in converting their marketing data into actionable insights and measurable growth. By functioning as a cohesive system, it connects various elements such as data strategy, measurement, media execution, and AI capabilities into a streamlined workflow, facilitating the transition from raw data to optimized campaigns and informed decision-making. The platform emphasizes the importance of establishing a robust data foundation through services like data modeling, aggregation, automation, and martech implementation, ensuring seamless information flow across different systems for effective analysis and activation. Furthermore, it empowers organizations to consolidate their advertising, analytics, and customer data with tools such as Google Marketing Platform, Google Cloud, and Adobe Experience Platform, thereby creating a centralized hub for analyzing customer behavior and performance metrics. This integration not only enhances operational efficiency but also provides deeper insights that can drive strategic marketing initiatives.

JetStream Security serves as a governance platform focused on security, enabling enterprises to gain comprehensive visibility, control, and responsibility over their AI systems by transforming them from unclear, disjointed applications into managed and traceable infrastructures. Functioning as a unified control center, it integrates identity management, operational governance, monitoring, and financial management into one cohesive system, empowering organizations to “monitor every AI action, associate actions with accountable individuals, and ensure workflows stay within authorized limits” while applying policies during runtime. Furthermore, it incorporates agentic identity, linking human, agentic, and non-human identities to specific actions and access rights, thereby ensuring that each invocation, tool usage, or workflow can be tracked and governed according to least-privilege access standards. By maintaining ongoing runtime governance, JetStream continuously evaluates actual AI behavior against pre-approved frameworks, utilizing immutable logging and real-time monitoring to identify deviations, thereby reinforcing security and compliance. This robust approach not only enhances accountability but also supports organizations in navigating the complexities of AI governance effectively.

Actian Data Observability is an advanced platform leveraging AI to continuously oversee, validate, and maintain the integrity, quality, and dependability of data within contemporary data environments. This system employs automated Data Observability Agents that assess the data as it enters data lakehouses or warehouses, identifying anomalies, elucidating root causes, and facilitating problem resolution before these issues can affect dashboards, reports, or AI applications. By providing instantaneous visibility into data pipelines, it guarantees that data remains precise, comprehensive, and reliable throughout its entire lifecycle. Unlike traditional methods that depend on sampling, it eradicates blind spots by monitoring the entirety of the data, which empowers organizations to uncover concealed errors that may compromise analytics or machine learning results. Furthermore, its integrated anomaly detection, driven by AI and machine learning technologies, allows for the early identification of irregularities such as changes in schema, loss of data, or unexpected distributions, leading to more rapid diagnosis and resolution of issues. Overall, this innovative approach significantly enhances the organization's ability to trust in their data-driven decisions.

The Actian Data Intelligence Platform is a cloud-native, AI-ready solution aimed at revolutionizing the way organizations discover, comprehend, manage, and trust their data in intricate environments. By consolidating features such as data cataloging, metadata oversight, governance, lineage tracking, observability, and semantic context into a cohesive platform, it establishes a centralized and reliable layer for enterprise data management. Leveraging a federated knowledge graph, the platform fosters intelligent connections between data assets, which allows it to inherently grasp context, yield pertinent search outcomes, and suggest optimal data utilization. This innovative strategy empowers both technical and business users to efficiently locate and utilize trustworthy data, thereby enhancing decision-making processes and boosting operational efficiency. Additionally, the platform performs continuous monitoring of data integrity, enforces governance protocols, and produces automated trust indicators, ensuring that data remains accurate, compliant, and primed for analytics along with AI applications. As a result, organizations can confidently navigate their data landscapes and harness the full potential of their information assets.

CyberTide is an innovative data security platform that leverages AI to provide organizations with comprehensive visibility, control, and safeguarding of sensitive information across various environments, including cloud services, SaaS applications, collaborative tools, and generative AI settings. By integrating several security features into a cohesive framework, such as Data Loss Prevention (DLP), Data Security Posture Management (DSPM), insider risk management, and AI security posture management, it empowers teams to identify, categorize, and protect data in real time. The platform employs context-aware artificial intelligence to thoroughly analyze the meanings and interconnections of data, rather than depending solely on keywords, which greatly minimizes false positives while ensuring precise identification of sensitive content. It actively monitors data both at rest and in transit, encompassing communication channels like emails, chats, and files, as well as AI-generated prompts, all while enforcing stringent policies aimed at preventing unauthorized access, leakage, or misuse of confidential information, including personal, financial, and proprietary data. This proactive approach not only enhances security but also fosters a culture of data protection within organizations.

FireTail serves as a comprehensive AI security and governance solution that empowers organizations with thorough oversight, management, and safeguarding of AI applications within their ecosystems. The platform actively identifies AI utilization across various domains, including codebases, cloud services, APIs, software-as-a-service tools, and web browsers, creating a live inventory of both authorized and unregulated AI systems to ensure adherence to governance protocols. It meticulously records and evaluates every interaction with AI, encompassing prompts, responses, metadata, and user identities, thereby offering profound insights into the access patterns of AI models and the pathways through which data navigates. With FireTail, organizations can implement adaptable, context-sensitive policies via a unified governance framework, leveraging established guidelines like OWASP or tailored regulations to uphold compliance while fostering innovation. Furthermore, it consistently tracks activities to identify potential threats such as prompt injection, data breaches, improper model usage, and unusual behaviors, ensuring a proactive approach to security. This ongoing vigilance not only enhances organizational resilience but also promotes a culture of responsible AI usage.

Notenic serves as a runtime orchestration and governance platform aimed at managing and securing autonomous AI agents, also known as "digital labor," in real-time scenarios where failures could lead to significant regulatory, legal, or operational repercussions. Functioning as an infrastructure layer, it integrates directly into the execution path of AI systems to enforce strict governance protocols prior to any interaction with systems of record, thus avoiding the limitations of post-output filters or controls applied at the prompt level. The platform incorporates a zero-trust runtime architecture characterized by foundational principles such as zero-persistence, which ensures no data is retained after each session, and execution-path control that enforces policies right at the moment actions are taken. This design also emphasizes independence from model context, effectively preventing any adversarial inputs from compromising governed behavior. In addition, Notenic offers a comprehensive control plane that encompasses the management of AI agents, treating them as operational units with clearly defined roles and appropriate oversight, which enhances organizational efficiency and accountability. This robust framework ultimately ensures that AI operations are conducted within a secure and compliant environment.

ReinforceNow serves as a comprehensive platform dedicated to ongoing learning through AI agents, designed to assist teams in deploying, training, and iterating efficiently. Developers are empowered to create AI agents that can be continuously trained using production traffic, or they can opt for Claude Code to configure the setup automatically. The platform manages vital components such as reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, allowing teams to concentrate on refining agent logic, data collection, and reward systems. With support for rapid LLM fine-tuning using LoRA, high-throughput training capabilities, and extensive compatibility with open-source models including Qwen, DeepSeek, and GPT-OSS, ReinforceNow enhances developers' efficiency. It offers sophisticated telemetry features that help evaluate, monitor, and iterate on AI agent LLM applications, including detailed traces, reward systems, experiment metrics, and training visibility. Teams can tackle extended tasks that require context sizes ranging from 32k to 1 million, create specialized agents for multi-turn interactions and long-duration tasks, and access an array of tools to streamline their reinforcement learning workflows, ultimately fostering innovation in AI development.

Matters.AI stands out as the pioneering AI Security Engineer for Data, specifically designed to autonomously detect, comprehend, and address instances of data misuse before any ticket is generated by the Security Operations Center (SOC). This innovative solution safeguards what truly matters, overseeing sensitive data as it exists or moves across various platforms, functioning similarly to a human security engineer that comprehends context, monitors activities, and protects sensitive information independently across environments such as cloud services, SaaS, endpoints, microservices, and AI pipelines. Built upon advanced technologies like semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, Matters goes beyond mere threat detection; it interprets context, foresees potential risks, and takes proactive measures. Rather than depending on outdated static rules, regex patterns, cumbersome dashboards, and incessant alerts, Matters adeptly reads nuanced data signals, tracks risks in real-time, and operates around the clock. By identifying sensitive data based not solely on appearance but also on its significance, Matters employs techniques like fingerprinting and eBPF to monitor data across cloud environments, SaaS applications, endpoints, and beyond, ensuring comprehensive protection and awareness. In this way, Matters.AI not only enhances data security but also transforms the landscape of risk management in the digital age.

Frame represents a groundbreaking approach to security awareness, designed to protect against AI-driven threats by understanding your organization and delivering tailored security training, simulations, and deepfake scenarios within minutes. In contrast to traditional awareness solutions that depend on one-size-fits-all resources, Frame creates training programs and simulations that reflect your specific environment, including the threats you face, your policies, employee roles, technological infrastructure, and actual organizational context. This innovative platform prepares employees for a wide array of challenges, extending beyond just phishing to include personalized training on deepfake recognition, AI-fueled social engineering tactics, secure coding practices, advanced threats, compliance issues, privacy concerns, developer education, and the latest security news relevant to your industry. The simulations provided by Frame are highly realistic, as they are developed using your organization's specifics, resulting in authentic phishing emails, voice interactions, and deepfake videos, all designed with adaptive difficulty levels that adjust to each employee's skill set. Furthermore, Frame employs multichannel campaigns that effectively simulate the tactics used by real-world adversaries, ensuring that your workforce is thoroughly prepared for the evolving landscape of cybersecurity threats.

MS0 Reverse transforms outdated code from a burden into a valuable asset by utilizing AI-driven analysis and intelligence that uncovers business logic, safeguards institutional knowledge, and clarifies intricate systems prior to teams making informed decisions regarding maintenance, refactoring, or modernization. Prioritizing intelligence, the methodology emphasizes a thorough understanding of the system before determining the next steps with certainty. It offers a structured knowledge infrastructure through a comprehensive knowledge graph that illustrates the entire operational framework, encompassing data flows, business logic, dependencies, and inter-program relationships. Various stakeholders, including developers, analysts, architects, executives, compliance teams, product owners, and portfolio managers, can engage with the same systems using natural language, obtaining insights derived from a unified governed knowledge layer. Furthermore, MS0 Reverse supports an open infrastructure through APIs and MCP connectors, facilitating the creation of customized tools, partner extensions, and additional functionalities. This versatility not only enhances collaboration among teams but also empowers organizations to leverage their existing systems more effectively.

Firstwork delivers advanced AI solutions for workforce operations, utilizing enterprise-grade AI agents that enhance candidate fill rates, decrease drop-offs, and facilitate a seamless transition from offer acceptance to the first work shift. Designed specifically for those who shape our world, Firstwork streamlines the various operational tasks that often hinder hiring, onboarding, compliance, and workforce management. The Document Verification agent efficiently authenticates IDs, permits, and other necessary documents in real time, promptly flagging any errors, poor image quality, or missing information to expedite the onboarding process. Additionally, the Browser Automation feature takes care of web-based tasks across multiple external platforms and systems, ensuring checks and updates are completed concurrently with comprehensive audit trails. Furthermore, the Workflow Engine transforms standard operating procedures into automated, flexible workflows powered by AI, empowering teams to create intricate, multi-step processes that operate seamlessly from start to finish without the need for manual oversight, ultimately enhancing overall efficiency. This innovative approach not only improves productivity but also supports a more agile workforce management strategy.

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.