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.
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Veeam Data Platform is a unified data resilience solution that helps organizations recover from cyberattacks and outages, and protect workloads across hybrid and multicloud environments – all without vendor lock-in.
The platform includes built-in security capabilities designed to mitigate ransomware and other data-loss threats, including AI-backed threat detection across a broad range of workload types. This is intended to help teams identify and respond to threats before they disrupt operations.
Veeam Data Platform supports workload portability across hypervisors, cloud providers, and on-premises environments, allowing organizations to move or recover data across infrastructure without being tied to a specific vendor or platform.
For organizations looking to simplify deployment, Veeam Software Appliance provides a pre-built, hardened, and highly available option, reducing the manual setup and maintenance work required from IT teams.
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Veeam DataAI Command Platform
Veeam DataAI Command Platform is a unified platform for DataAI security, governance, privacy, compliance, and resilience across modern enterprise environments. The platform is powered by Veeam DataAI Command Graph, which maps relationships across data, identities, systems, backups, and AI to create a connected intelligence layer. This graph-based approach helps organizations see where sensitive data lives, who can access it, how AI systems are using it, and what risks exist in context. Veeam DataAI Security helps teams continuously discover and classify sensitive data, identify exposed data, detect public sharing, uncover excessive access, and prioritize high-risk data exposure scenarios. DataAI Agent Commander helps organizations inventory AI agents, copilots, and models, identify risky AI activity, enforce access and usage policies, and undo AI mistakes with precision. Identity and Access Governance helps reduce identity risk by showing permission drift, enforcing least-privilege controls, protecting identity systems, and restoring access when changes go wrong. DataAI Privacy and Compliance helps map data to regulatory requirements, match resilience policies to compliance needs, automate checks and controls, and generate audit-ready reports on demand. DataAI Resilience helps organizations understand what data is protected, where backups exist, what is recoverable, and how to restore quickly from ransomware, accidental changes, or outages. The platform also supports machine learning for automated remediation and operational intelligence through AI agents that answer questions across the environment. Veeam DataAI Command Platform unifies backup, security, AI governance, privacy, compliance, identity, and recovery into one control layer for the agentic era.
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Veeam Data Cloud Vault
Protecting your data offsite is critical — but getting there shouldn't mean complex configurations, unpredictable costs, and endless security management. Veeam Data Cloud Vault changes that.
Veeam Data Cloud Vault is Veeam's fully managed, purpose-built cloud storage solution, preconfigured for resilience from day one. Key capabilities include:
- Security by default — Immutable, encrypted, and air-gapped out of the box. No manual tuning required.
- Zero infrastructure — Nothing to procure, manage, or maintain. Fully managed by Veeam.
- Predictable, all-inclusive pricing — Storage, API calls, and egress covered in one flat rate. No bill shock.
- Cloud disaster recovery — Directly restore to Azure or AWS in minutes, eliminating the need for hot sites or idle compute.
- Ransomware readiness — An isolated cloud clean room lets you verify recovery through automated testing, with tamper-proof data always protected.
- Compliant retention — Policy-driven retention and deletion, audit-ready logging, and data residency across 60-plus regions globally.
One solution. Built-in resilience. Zero complexity.
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