4.7 out of 5 stars
(3 Ratings)
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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4.3 out of 5 stars
(189 Ratings)
pCloud Business is a secure cloud storage and file sharing platform designed for teams and companies that need reliable, scalable, and privacy-focused data management. It allows businesses to store, access, manage, and share files from anywhere, on any device, while maintaining full control over access and security.
Founded in 2013 in Switzerland, pCloud serves over 23 million users worldwide and offers flexible data residency with servers in the EU (Luxembourg) and the US (Dallas), supporting GDPR-aligned operations.
Key Features :
- Cloud Storage for Teams : Centralize documents, media, and business files in one secure location with 1 TB or 2 TB per user.
- pCloud Drive (Virtual Drive) :
Access files like a local disk without using device storage. Available on Windows, macOS, and Linux.
- File Sharing & Collaboration : Share files and folders with teams and clients using granular permissions, password protection, and expiring links.
- Admin Console & User Management : Control users, roles, and storage allocation with an intuitive admin panel.
- File Versioning & Rewind : Restore previous file versions and recover data with up to 180 days of history.
- Multi-Device Access : Use pCloud on Web, desktop (Windows, macOS, Linux), and mobile (iOS, Android).
- Zero-Knowledge Encryption : Protect sensitive files with client-side encryption, ensuring only you can access your data.
Why Choose pCloud Business?
- Swiss-based company with strong privacy standards
- GDPR-compliant with EU data center option
- No file size limits and fast file transfers
- Cost-effective cloud storage for SMBs and teams
- Ideal for legal, finance, creative, and remote teams
Free Trial :
Start with a 30-day free trial for up to 10 users and experience secure cloud storage and collaboration for your business.
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CloudZero
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.
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Cloud Repatriation Analyzer
The Cloud Repatriation Analyzer (CRA) evaluates workloads across public cloud platforms such as AWS, GCP, Azure, and DigitalOcean to analyze the feasibility and financial advantages of moving to bare-metal hosting solutions.
Notable Features Include:
Cross-Cloud Resource Mapping: Employs read-only APIs to effectively integrate and visualize resources across various domains including compute, storage, databases, and networking.
Intelligent Waste Detection: Examines a month’s usage data to identify inefficiencies including ghost storage, dormant instances, idle load balancers, and possible egress leaks, thus optimizing resource allocation.
Migration Planning Blueprinting: Matches cloud workloads with suitably sized bare-metal servers (e.g., Hetzner, OVH), offering an in-depth comparison between Hybrid and Full Migration approaches.
Cost & Return Analytics: Assesses monthly savings on operational costs, initial setup expenses, break-even timelines, and forecasts of Total Cost of Ownership over periods of one, three, and five years.
Comprehensive Executive Reporting: Produces detailed migration plans that are exportable, highlighting specific resource actions, server performance metrics, and dependencies on managed services to ensure stakeholders fully grasp the migration journey. This comprehensive analysis not only aids in understanding current cloud usage but also enhances strategic decision-making for future cloud investments.
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