Insights by Promevo vs. AI SpendOps

Ask a CFO what the company spent on AI last quarter and you will get a number. Ask which product line it belonged to, whether anyone approved it, or what it earned, and the room goes quiet. FinOpsly was built for that second set of questions. It is an AI Cost Governance platform. AI does not run in isolation, so FinOpsly does not price it in isolation either. A model call pulls warehouse queries, GPU time and storage behind it, and the engineers building the feature are burning licensed seats the whole time. All of that lands in one cost model, mapped to the company's own structure: owner, team, product, business unit, customer. What teams use it for: Pricing a workload before anyone provisions anything. Describe the architecture, get a cost estimate across the stack, and see which assumptions drove it. Compare model options using consumption you have already paid for. Making chargeback something finance trusts. Hierarchies run nine levels or deeper. Tags get standardized across providers that never agreed on a convention. API keys and resources are labeled in bulk from instructions written in ordinary English. Anything still unowned shows up as a dollar figure. Holding the line during the month. Budgets by team, project or key. Anomalies flagged with a root cause and sent to the person responsible. Waste that provider consoles do not catch, found by FinOpsly's own detection models. Idle compute parked on schedules the customer approved, and reversible. Proving the outcome. One chargeback run covering AI, cloud, data and SaaS together. Savings measured against the base-line along with cost-to-serve metrics: cost per active user, per customer served. Customers have moved attributable spend from 68% to 99% inside 90 days and taken a chargeback cycle from 12.4 days down to under one. Built for CIOs, CTOs, FinOps practitioners and the finance teams who sign off on the bill.

The CloudZero Platform is uniquely positioned as the only cloud cost management tool that combines real-time engineering activities with financial data, helping users understand how their engineering decisions affect costs. Unlike typical cloud cost management solutions that focus solely on historical spending, CloudZero is specifically designed to help users recognize variations in costs and the underlying factors that contribute to them. Analyzing total spending can often obscure the identification of cost surges. To overcome this challenge, CloudZero utilizes machine learning technology to detect spikes in specific AWS accounts or services, facilitating proactive measures and informed planning. Aimed at engineers, CloudZero allows for meticulous examination of each line item, empowering users to respond to any questions, whether they stem from anomaly notifications or financial inquiries. This granular approach guarantees that teams retain a comprehensive insight into their cloud financials, ultimately supporting better decision-making and resource allocation. By fostering a deeper understanding of cost dynamics, CloudZero enables organizations to optimize their cloud spending effectively.

Approximately 25 million engineers are employed across a wide variety of specific roles. As companies increasingly transform into software-centric organizations, engineers are leveraging New Relic to obtain real-time insights and analyze performance trends of their applications. This capability enables them to enhance their resilience and deliver outstanding customer experiences. New Relic stands out as the sole platform that provides a comprehensive all-in-one solution for these needs. It supplies users with a secure cloud environment for monitoring all metrics and events, robust full-stack analytics tools, and clear pricing based on actual usage. Furthermore, New Relic has cultivated the largest open-source ecosystem in the industry, simplifying the adoption of observability practices for engineers and empowering them to innovate more effectively. This combination of features positions New Relic as an invaluable resource for engineers navigating the evolving landscape of software development.

Gemini Enterprise Agent Platform is an advanced AI infrastructure from Google Cloud that enables organizations to build and manage intelligent agents at scale. As the evolution of Vertex AI, it consolidates model development, agent creation, and deployment into a unified platform. The system provides access to a diverse library of over 200 AI models, including cutting-edge Gemini models and leading third-party solutions. It supports both low-code and full-code development, giving teams flexibility in how they design and deploy agents. With capabilities like Agent Runtime, organizations can run high-performance agents that handle long-duration tasks and complex workflows. The Memory Bank feature allows agents to retain long-term context, improving personalization and decision-making. Security is a core focus, with tools like Agent Identity, Registry, and Gateway ensuring compliance, traceability, and controlled access. The platform also integrates seamlessly with enterprise systems, enabling agents to connect with data sources, applications, and operational tools. Real-time monitoring and observability features provide visibility into agent reasoning and execution. Simulation and evaluation tools allow teams to test and refine agents before and after deployment. Automated optimization further enhances agent performance by identifying issues and suggesting improvements. The platform supports multi-agent orchestration, enabling agents to collaborate and complete complex tasks efficiently. Overall, it transforms AI from a productivity tool into a fully autonomous operational capability for modern enterprises.

Identity is now the fastest-growing attack surface in the enterprise, and the hardest one to govern. Josys is the AI-native platform that closes that gap: it discovers, governs, and secures every identity, human, machine, and AI agent, across every application you run. Policy-led governance is at the core: define access policies once, and Josys enforces them autonomously, surfacing risk, controlling access, and remediating identity threats in real time without manual intervention. More than 1,000 organizations and MSPs rely on Josys to turn identity risk into an autonomously governed advantage. Visit josys.com to learn more.

Evertune is the Generative Engine Optimization (GEO) platform that helps brands improve visibility in AI search across ChatGPT, AI Overview, AI Mode, Gemini, Claude, Perplexity, Meta, DeepSeek and Copilot. We're building the first marketing platform for AI search as a channel. We show enterprise brands exactly where they stand when customers discover them through AI — then give them the precise playbook to show up stronger. This is Generative Engine Optimization, also known as AI SEO. Why Leading Enterprise Marketers Choose Evertune: Data Science at Scale: : We prompt across every major LLM at volumes that capture response variations and ensure statistical significance for comprehensive brand monitoring and competitive intelligence. Actionable Strategy, Not Just Dashboards: We decode exactly what gets brands mentioned more and ranked higher, then deliver the specific content, messaging and distribution moves that improve your position. Dedicated Customer Success: Our team provides hands-on training and strategic guidance to help you execute on insights and improve your AI search visibility. Purpose-Built for AI as a Channel: Evertune was founded in 2024 specifically for how LLMs select and rank brands. While others retrofit SEO tools, we're architecting the infrastructure for where marketing is going: AI search with organic visibility today, paid placements and agentic commerce tomorrow. Proven Leadership: Our founders helped build The Trade Desk and pioneered data-driven digital advertising. We've shepherded an entire industry through transformation before and have seen early adopters grab the competitive advantage. Our investors, including data scientists from OpenAI and Meta, back our vision because they see where this channel is heading.

Setyl is a cloud-based IT asset and license management (ITAM) software that seamlessly integrates with your current tech stack through 100+ integrations. The platform gives you complete visibility and control over hardware assets and equipment, software licenses, SaaS subscriptions, vendors, users, and spend in one place. Use Setyl to: 1. Gain full visibility over your IT assets and software licenses — the who, what, why, where, and when. 2. Simplify, automate, and scale daily IT operations, including employee onboarding and offboarding. 3. Eliminate wasted IT spend. 4. Prepare for security audits and stay compliant, including with SOC 2, ISO 27001, and more. With its intuitive interface, 100+ out-of-the-box integrations, and support from the Setyl team at every step, the platform is fast to deploy, easy to use, and built for collaboration. Key features include: • IT asset and license inventory • Full asset lifecycle management • Software and SaaS subscription renewal tracking • License rightsizing • Employee onboarding and offboarding workflows • SOC 2 and ISO 27001 compliance • Vendor audits and due diligence • IT spend management • 100+ integrations and API access Integrations include: Microsoft 365 and Entra, Google Workspace and Cloud Identity, Okta, JumpCloud, Intune, Jamf, NinjaOne, Iru, Lansweeper, Tenable, Datto, Addigy, ConnectWise, CrowdStrike, Adobe, Slack, Zoom, BambooHR, HiBob, Factorial, Workday, Personio, NetSuite, Jira Service Management, Zendesk, and more. By consolidating all these functionalities, Setyl helps organizations make informed IT decisions and enhance operational efficiency.

BigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses. Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.

Google Workspace is Google’s cloud-based productivity and collaboration suite designed to help businesses, teams, and organizations communicate, collaborate, manage data, and automate workflows through integrated applications and AI-powered tools. The platform combines premium business versions of Gmail, Google Drive, Google Meet, Calendar, Docs, Sheets, Slides, Chat, Keep, Forms, Sites, Tasks, NotebookLM, AppSheet, and Gemini AI into a unified cloud ecosystem optimized for modern workplaces. Google Workspace enables organizations to manage professional email communication, real-time document collaboration, cloud storage, video conferencing, project coordination, and business productivity from any device while maintaining centralized administration and security controls. The platform’s built-in Gemini AI capabilities provide intelligent assistance across applications, helping users draft emails, summarize meetings, generate reports, create content, analyze data, brainstorm ideas, and automate workflows using contextual information from business operations. Google Workspace also includes advanced collaboration tools such as appointment scheduling, eSignature support, AI-generated meeting notes, mail merge functionality, shared cloud storage, and real-time co-authoring for teams working across distributed environments. Security and compliance are major components of the platform, with enterprise-grade features including AI-powered data classification, endpoint management, secure access controls, S/MIME encryption, Data Loss Prevention, eDiscovery, Vault archiving, compliance management, and AI-driven threat protection. Businesses can choose from multiple subscription plans that scale from small startups to large enterprises, with options for expanded storage, advanced security controls, large video meetings, and enterprise-grade administration features.

Cloud SQL provides a fully managed relational database service compatible with MySQL, PostgreSQL, and SQL Server, featuring extensive extensions, configuration options, and a supportive developer ecosystem. New customers can take advantage of $300 in credits, allowing them to explore the service without any initial charges until they choose to upgrade. By leveraging fully managed databases, organizations can significantly decrease their maintenance expenses. Round-the-clock assistance from the SRE team ensures that services remain reliable and secure. Data is safeguarded through encryption both during transit and when at rest, providing top-tier security measures. Additionally, private connectivity through Virtual Private Cloud, along with user-governed network access and firewall protections, contributes to enhanced safety. With compliance to standards such as SSAE 16, ISO 27001, PCI DSS, and HIPAA, you can confidently trust that your data is well-protected. Scaling your database instances is as easy as making a single API request, accommodating everything from preliminary tests to the demands of a production environment. The use of standard connection drivers combined with integrated migration tools allows for quick setup and connection to databases in mere minutes. Moreover, you can revolutionize your database management experience with AI-powered support from Gemini, which is currently in preview on Cloud SQL. This innovative feature not only boosts development efficiency but also optimizes performance while simplifying the complexities of fleet management, governance, and migration processes, ultimately transforming how you handle your database needs.