FinOpsly is an AI-native control plane for managing Cloud, Data, and AI spend at enterprise scale.
Built for organizations operating across multiple clouds and data platforms, FinOpsly shifts FinOps from passive reporting to active, governed execution. The platform connects cost, usage, and business context into a unified operating model—allowing teams to anticipate spend, enforce guardrails, and take automated action with confidence.
FinOpsly brings together infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks, BigQuery), and AI workloads into a single decision and execution layer. With explainable AI agents operating under policy-based controls, teams can safely automate optimization, trace cost drivers to real workloads, and stop budget drift before it becomes a problem.
Key capabilities include:
Business-aware cost attribution across products, teams, and services
Predictive insight into cost drivers with clear, explainable reasoning
Policy-controlled automation to optimize spend without disrupting performance
Early detection and prevention of overruns, inefficiencies, and financial drift
FinOpsly enables engineering, finance, and platform teams to operate from the same source of truth—turning cloud and data spend into a controllable, measurable part of the business.
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Josys is a modern, AI-native identity security and governance platform built for the era of rapid enterprise AI adoption. As identity becomes the primary attack surface, Josys provides the tools to discover, govern, and secure every human, machine, and AI agent identity across your entire application ecosystem. The platform enables security and IT teams to proactively surface risks, manage granular access, and remediate identity-based threats in real-time. Trusted by more than 1,000 global organizations and MSPs, Josys transforms identity management from a complex security vulnerability into a streamlined, autonomously governed strategic advantage. Learn more at josys.com.
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Uniskai by Profisea Labs
Uniskai, developed by Profisea Labs, is an innovative platform that leverages AI for optimizing multi-cloud costs, enabling DevOps and FinOps teams to take comprehensive control of their cloud expenditures and potentially cut costs by as much as 75%. With an easy-to-navigate billing dashboard that provides in-depth cost show-back and forecasts for future expenses, users can effectively track and manage their financial outlays across major cloud services like AWS, Azure, and GCP. The platform also delivers tailored rightsizing suggestions to help users choose the most suitable instance types and sizes based on actual workload requirements. Additionally, Uniskai employs a unique approach to convert instances into budget-friendly spot options, effectively managing Spot Instances to ensure minimal downtime through proactive measures. Furthermore, Uniskai's Waste Manager quickly detects any unutilized, duplicated, or incorrectly sized resources and backups, empowering users to eliminate unnecessary cloud spending with just a single click, making it an essential tool for efficient cloud management and financial optimization. This powerful functionality not only streamlines cost management but also enhances overall operational efficiency.
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IBM Apptio
IBM Apptio integrates financial and operational information into a cohesive model based on a widely accepted categorization of costs. By employing advanced allocation rules in conjunction with targeted metrics and key performance indicators (KPIs), we empower businesses to address critical inquiries concerning their investments and streamline their budgeting and forecasting procedures. This capability allows organizations to communicate investment rationales and deviations from plans more efficiently to stakeholders and executive leadership, ultimately leading to the identification of opportunities for optimizing cost structures, mitigating risks, and fostering growth.
Furthermore, adopting a structured perspective on IT expenditures, both actual and projected, grounded in an established framework facilitates swifter ad hoc analyses and enhances budgeting cycles. By minimizing overall IT spending through the reduction of waste, elimination of redundancies, and alignment of investments with strategic goals, businesses can significantly cut down on the time allocated to forecasting. This approach not only increases the frequency of updates but also frees up resources, enabling a focus on higher-value initiatives that drive long-term success.
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