Business Software for Google Cloud Platform

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.

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.

Calven is a cutting-edge AI marketing platform designed to empower teams with nine independent agents focused on Research and Intelligence, Target Audience, and Positioning and Messaging. Instead of functioning as isolated tools, these agents collaborate through a unified database known as the Universe, where critical elements such as market signals, customer feedback, competitor insights, win/loss data, ideal customer profiles, personas, positioning, battle cards, and messaging are seamlessly integrated and consistently updated. Four dedicated research agents monitor competitors, markets, customers, and deals in real time; the ICP and Persona agents utilize these insights to create a validated understanding of the target audience; while the Positioning, Messaging, and Product Intelligence agents refine this context into compelling and distinct language. Additionally, Calven interfaces with various platforms such as sales calls, CRM systems, Slack conversations, documents, and more, efficiently processing information that teams typically lack the time to analyze, ensuring that all marketing materials are current and relevant. This holistic approach not only streamlines the marketing process but also enhances strategic decision-making across the organization.

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.