OneLens Alternatives

FinOpsly is an AI Cost Governance platform. It brings AI, cloud, data platform and SaaS spend into one attribution, policy and control layer, so enterprises can price a workload before building it, attribute every dollar to an owner, hold spend inside budget under policy, and prove what landed in run-rate. Your AI invoice is not what your AI costs. One request draws on model tokens, retrieval, warehouse queries, GPU capacity and storage, and only the first shows up on the AI bill. FinOpsly resolves all of it, plus the seats in procurement and the compute in an untagged cloud account, to the same dimensions: owner, team, application, line of business, customer and tenant. An AI initiative's full cost becomes one figure, charged back through one hierarchy in one cycle. Workforce AI is the tools employees use: seats and per-user token draw across GitHub Copilot, Cursor, ChatGPT Enterprise and Microsoft 365 Copilot. Application AI is the AI your product ships: tokens, compute and data joined into cost-to-serve across OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex AI, SageMaker and Databricks. PLAN. Price a workload from its architecture before any resource exists, across model APIs, GPU capacity, data platform consumption and storage, with assumptions visible. Compare it across candidate models on your measured usage. EXPLAIN. Attribute spend to owner, team, application, line of business and business unit across 9+ hierarchy levels. Unified tagging reconciles providers that tag inconsistently, and AI-driven bulk labeling closes large key estates. Unattributed spend is reported in dollars. ACT. Budgets per project, team and API key, with daily burn-rate monitoring. Anomaly detection with root cause, routed to the owner. Waste detection using FinOpsly's own algorithms and ML models. Commitment planning across AWS, Azure and Google Cloud. Policy-driven parking of idle compute. PROVE. Chargeback across AI, cloud, data and SaaS in one cycle. Realized savings tracked into run-rate against a no-action baseline. Cost per call, cost per active user, and cost-to-serve per customer and tenant. proof: 100% attribution of AI spend; chargeback from 12.4 days to under one day across 9+ levels; 26% realized savings in AWS and 17%+ in Azure at a payments client. Built for CIOs, CTOs and platform leaders accountable for technology spend, FinOps and finance teams running chargeback, and engineering teams who need cost signal before they decide

Opsolute is an Infrastructure Cost Intelligence platform that helps Engineering, Platform, and FinOps teams understand not just how much they spend on the cloud, but why. By combining AWS CUR data with live infrastructure metadata across AWS and Kubernetes, Opsolute delivers ownership-aware cost attribution, anomaly detection, root cause analysis, and business context. Key capabilities include: EKS pod & namespace cost attribution S3, NAT Gateway, ELB & RDS optimization insights Data transfer intelligence & dependency-aware recommendations Savings Plans & Reserved Instance analysis Spot migration recommendations & idle resource detection Cost-per-product, tenant & workload visibility Ownership-aware alerts & hierarchical showback Opsolute enables organizations to investigate cloud cost changes faster, prioritize safe optimizations, improve unit economics, and make confident, data-driven cloud decisions.

Mavvrik is an AI and hybrid infrastructure cost management platform that gives finance, FinOps, IT, and engineering teams one control center for GenAI, autonomous agents, GPUs, cloud, on-premises systems, Kubernetes, data platforms, and SaaS. It unifies cost, usage, and telemetry signals from AWS, Azure, Google Cloud, Oracle, VMware, NVIDIA, OpenAI, Anthropic, Gemini, Snowflake, Databricks, and LiteLLM, creating a single source of truth across the technology stack. Teams can track every model call, agent interaction, GPU hour, workload, service, and resource, then allocate spending by customer, product, feature, project, application, environment, team, or cost center. Cost-to-serve and unit-economics analysis reveal margin drains, expensive workloads, and the true cost of delivering each offering. Real-time anomaly detection and alerts identify usage before it becomes a budget surprise, while predictive forecasting helps organizations model cloud, GPU, and AI expenses.

OpenCost is a vendor-neutral open source project for measuring and allocating cloud infrastructure and container costs in real-time. Built by Kubernetes experts and supported by Kubernetes practitioners, OpenCost shines a light into the black box of Kubernetes spending. Flexible, customizable cost allocation and cloud resource monitoring for accurate showback, chargeback, and ongoing reporting. Real-time cost allocation, broken down by Kubernetes concepts to the container level. Allocation for in-cluster resources like CPU, GPU, memory, load balancers, and persistent volumes. Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as support for on-prem Kubernetes clusters using custom pricing. Monitor costs outside the Kubernetes cluster from the cloud provider, resources like object storage, databases, and other managed services. Integrations with other open source tooling, such as easy pricing data exports to Prometheus.

Uniskai by Profisea Labs is an AI-driven multi-cloud cost optimization platform designed to help DevOps and FinOps teams gain full control over their cloud spending and reduce costs by up to 75%. It offers an intuitive billing dashboard with detailed cost show-back and future cost predictions, enabling users to monitor and manage expenses across AWS, Azure, and GCP. The platform provides personalized rightsizing recommendations to select the ideal instance size and type aligned with actual workload demands and features a distinctive strategy to transform instances into cost-effective spots, seamlessly managing Spot Instances to minimize downtime through proactive system actions. Uniskai's Waste Manager swiftly identifies unutilized, duplicated, or improperly sized resources and backups, allowing users to eliminate cloud waste with a single click.

IBM Targetprocess (formerly Apptio Cloudability). Establish team budgets and accurately forecast and track cloud spend. Correlate cloud spend to business value to make cloud investment decisions with confidence. Stay informed of costs and act on anomalies and rightsizing opportunities by team, service, or project. Accurately allocate all costs, including containers and support charges, to ensure a full chargeback of cloud costs to the business. Leverage rightsizing capabilities across major cloud services to reduce operating expenses and fund future investments. Enable team ownership of cloud spend and correlate this spend to business value for more effective strategic decision-making. Develop a comprehensive cloud optimization strategy geared for immediate cost savings. Included are a set of optimization recommendations aligned with the business while starting to enable accountability across the org.

StormForge Optimize Live continuously rightsizes Kubernetes workloads to ensure cloud-native applications are both cost effective and performant while removing developer toil. As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the Kubernetes horizontal pod autoscaler (HPA) at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced machine learning to recommend optimal resource requests and limits. Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing. Organizations see immediate benefits from the reduction of wasted resources — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate.

Kubex is an AI-powered Kubernetes resource optimization platform that helps organizations reduce cloud infrastructure costs, improve application performance, and automate workload management. The software uses deterministic machine learning and AI agents to continuously analyze resource utilization and optimize CPU, memory, nodes, autoscaling, and GPU infrastructure. Its automated rightsizing capabilities adjust container resource requests and limits based on observed workload patterns while minimizing performance risks. Kubex also supports intelligent node selection, pod bin packing, Horizontal Pod Autoscaler tuning, and GPU optimization for AI inference workloads. Its agentic automation engine allows teams to review optimization proposals, establish operational guardrails, and approve changes or enable autonomous execution.

CloudNatix can connect to any infrastructure, anywhere, from cloud to the data center to edge, across VM, Kubernetes and managed Kubernetes clusters. Unifying your federated pools of resources into a single planet-scale cluster, all via an easy to consume SaaS service. The global dashboard provides a common view of cost and operational intelligence across your multiple cloud & Kubernetes environments, including AWS, EKS, Azure, AKS, Google Cloud, GKE, and many more. The universal view across all clouds allows you to drill down into the details of every resource including individual instances, and namespaces across all regions, availability zones, and hypervisors. CloudNatix provides a unified cost-attribution view across your multiple public, private and hybrid clouds as well as multiple Kubernetes clusters and namespaces. CloudNatix provides automation for costs you choose to attribute to your business units.

​Pelanor is an AI-powered FinOps platform designed for the modern cloud, offering deep integration across cloud systems to provide clarity on organizational cloud spending. It enables engineering, finance, and business leaders to make informed decisions with contextual cost data. It offers actionable opportunities by tackling significant cost drivers and quickly addressing cost incidents before they escalate. By correlating cloud spend with business metrics, Pelanor provides a comprehensive understanding of what drives expenses and how to improve them. Its advanced cost allocation capabilities empower ownership across the entire organization, allowing for precise chargebacks. Pelanor's autonomous AI-powered FinOps brings clarity to cloud spending, enabling leaders to make informed decisions. The platform offers full visibility into costs at granular levels, such as query or job levels, with customized anomaly monitors and detailed notifications.

Capital One Slingshot is a cloud data platform optimization and management solution that helps organizations simplify, optimize, and maximize their use of Snowflake and Databricks by providing enhanced visibility into financial and compute spend, continuous monitoring, dynamic rightsizing, and AI-driven recommendations to reduce waste and inefficiencies while improving performance. It delivers granular dashboards and reports tracking cost, usage, and performance trends, allocates costs to business units with custom tagging, and offers proactive alerts for credit consumption and cost spikes. Slingshot’s recommendation engine analyzes workloads to right-size warehouses, suggests schedule adjustments, and highlights inefficient queries with its Query Advisor to improve SQL performance. It supports automated optimization for Databricks jobs using machine learning models and enables federated management and governance with customizable workflows and controls.

IBM Kubecost provides real-time cost visibility and insights for teams using Kubernetes, helping you continuously reduce your cloud costs. Breakdown costs by any Kubernetes concepts, including deployment, service, namespace label, and more. View costs across multiple clusters in a single view or via a single API endpoint. Join Kubernetes costs with any external cloud services or infrastructure spend to have a complete picture. External costs can be shared and then attributed to any Kubernetes concept for a comprehensive view of spend. Receive dynamic recommendations for reducing spend without sacrificing performance. Prioritize key infrastructure or application changes for improving resource efficiency and reliability. Quickly catch cost overruns and infrastructure outage risks before they become a problem with real-time notifications. Preserve engineering workflows by integrating with tools like PagerDuty and Slack.

The AWS Cost & Usage Report contains the most comprehensive set of AWS cost and usage data available, including additional metadata about AWS services, pricing, reserved Instances, and savings plans. The AWS Cost & Usage Report itemizes usage at the account or organization level by product code, usage type and operation. These costs can be further organized by enabling cost allocation tags and cost categories. The AWS Cost & Usage Report is available at an hourly, daily, or monthly level of granularity. The AWS Cost & Usage Report can track down to the instance-level where purchase options such as RIs and Savings Plans are being applied. It further amortizes associated fees and provides calculations to enable internal cost allocation and showbacks based on your organization’s internal reporting needs.

Amnic is a FinOps tool powered by context-aware AI agents that helps organizations gain clarity and control over their cloud spending. It automates cloud cost management by deploying role-specific agents that analyze usage, detect anomalies, and generate insights tailored to different stakeholders. Through its cloud cost observability capabilities, Amnic enables teams to visualize, analyze, and optimize infrastructure expenses, turning complex cloud bills into actionable intelligence. It provides fast cloud financial health checks, natural-language insights, and automated reporting that reduce the manual effort typically required for FinOps workflows. Built-in governance tools monitor budget drift, enforce tagging hygiene, and assign ownership, helping organizations maintain accountability across engineering and finance teams.

ProsperOps is a fully automated, multi-cloud cost optimization platform for AWS, Azure, and Google Cloud. Eliminating cloud waste and managing spend is one of the most persistent challenges for FinOps teams. Cloud usage is inherently elastic, but the financial instruments used to manage cost like Reserved Instances, Savings Plans, and Committed Use Discounts are rigid. ProsperOps bridges this gap by integrating automated rate optimization with intelligent workload optimization, allowing organizations to continuously align cost with usage without manual oversight. Founded in 2018, ProsperOps helps FinOps and engineering teams reduce costs, mitigate financial risk, and eliminate the operational burden of cloud cost management. The platform is governed by customer-defined controls and operates autonomously in the background to execute thousands of real-time optimizations that respond to evolving usage patterns, architectural changes, and business demands.

We give engineering, finance, and FinOps teams a single platform to track, attribute, and optimise LLM API spend across every provider. Costs are broken down by dimensions you define, matching how your business already reports its financials. Engineering teams get frictionless cost tracking without slowing anything down. CTOs get a single pane of glass to enforce model governance and prevent shadow usage. CFOs get finance-grade reporting for forecasting, budgeting, and chargebacks, attributed using their own reporting structure. FinOps teams get real-time, multi-provider cost data that slots straight into the workflows they already run for cloud. If your organisation uses LLM APIs and the board is asking "what are we spending and why?" we're the answer.

ManageEngine CloudSpend is a cloud cost management tool designed to help organizations optimize their cloud expenditures across AWS, Azure, and Google Cloud Platform (GCP). It offers real-time insights into cloud spending, enabling businesses to implement best practices such as chargebacks, capacity reservations, and resource rightsizing. Key features include Business Units for cost accountability, budget creation with alerts, and detailed spend analysis by service, region, and account. Additionally, CloudSpend provides AI-driven anomaly detection to identify unexpected cost spikes and offers recommendations for cost optimization. With its user-friendly interface and comprehensive reporting capabilities, CloudSpend empowers organizations to achieve greater financial control and efficiency in their cloud operations.

Drive financial accountability with intelligent resource sizing and accurate visibility into cloud metering and chargeback with NCM Cost Governance (formerly Beam). Achieve greater visibility, optimization and control across public, private, and hybrid multi-cloud environments to keep cloud costs under control. Visibility into public and private cloud spending simplifies cost management and multi-cloud governance. Save more by automating tasks, rightsizing resources and making smarter reserved instance purchases. Allocate resource costs based on consumption and drive governance with a multicolored chargeback. Total cost of ownership is based on the true cost of running a private cloud, including all IT admin costs, calculated using configurable industry standards. Automatically create cloud consumption reports to allocate untagged spending to a cost center and set up budget alerts to keep costs well under control.

Exostellar is a self-managed AI infrastructure orchestration platform built to simplify how enterprises run heterogeneous CPU and GPU environments. It intelligently handles scaling, scheduling, and optimization so AI developers and IT teams don’t have to manage infrastructure complexity manually. Exostellar unifies orchestration, optimization, and scalability into a single adaptive layer designed for hybrid and multi-cloud environments. The platform supports advanced CPU and GPU resource management, including just-in-time provisioning and AI-assisted scheduling. With autonomous right-sizing and smart workload tuning, Exostellar helps organizations maximize infrastructure utilization. It is vendor-agnostic and avoids lock-in, giving teams full control across clusters and clouds. By boosting efficiency and reducing costs, Exostellar significantly improves ROI for enterprise AI infrastructure.

North.Cloud is your all-in-one, AI-powered cloud finance automation platform. North.Cloud enables group buying of monthly flexible Compute Savings Plans, helping you reduce AWS costs by up to 50% and increase business agility. Our FinOps Command and Control center offers Cost Alerting, Chargeback, Allocation, GreenOps, and Instance Reshaping, all designed to optimize your cloud financial management and efficiency. No term commits, contracts, or tech work required.

Usage.ai is a cloud cost optimization platform that helps companies save 30–50% on AWS, GCP, and Azure. Using AI/ML-powered recommendations and fully insured commitments, Usage automates Reserved Instance and Savings Plan management with zero engineering effort and zero upfront cost. Setup takes under 30 minutes with billing-layer access only — no infrastructure changes required. Customers only pay when Usage saves them money. Trusted by hundreds of companies including Motive, EVGo, and Blank Street Coffee. Features include Autopilot, multi-org reporting, showback support, and dedicated Slack/email support.

Spot’s Cost Intelligence is a cloud cost-management solution designed to centralize visibility, optimize spend, and drive actionable FinOps in multi-cloud environments. It consolidates cost and usage data across AWS, Azure, and Google Cloud into role-specific dashboards and interactive visualizations, enabling stakeholders to understand resource consumption, spot anomalies, and make data-driven decisions. It uses best-practice checks and alerts to highlight inefficiencies or waste, enabling quick remediation. The platform supports workflow automation, allowing you to set triggers, generate custom reports, and alert teams when certain cost or usage thresholds are breached. It also enables translating raw cost and inventory data into meaningful business metrics, such as compute cost per customer or storage cost per product. By combining Cost Intelligence with Spot’s Billing Engine, Eco, and Ocean modules, users can operationalize FinOps practices, align stakeholders, and more.

Configure policies to manage and govern cloud-native environments without impacting agility or speed. Allocate budgets to individual teams or projects, keep track of costs, govern resource usage and generate real-time alerts for cost overruns. Track the complete asset life cycle from ownership and creation to modification and termination. Understand detailed resource consumption patterns and costs associated with decentralized development teams while engaging developers in creating value with each and every deployment. Ensure microservices, containers, pods, and Kubernetes clusters have the most efficient resource footprint possible without compromising reliability, availability, or performance. Replex allows you to right size Kubernetes nodes and cloud instances based on historical and real-time utilization data and is a single source of truth for all performance-critical metrics.

Introducing Cloud Cost Pro, an industry-leading cloud cost optimization and FinOps solution. With Cloud Cost Pro, you get a 360-degree view of your multi-cloud environment, complete with actionable insights, ML-powered recommendations, and automated actions for streamlined cloud operations. Drive organization-wide improvements, enhance budgeting, and ensure compliance with security and resiliency best practices. Automate assessment of best practices and actions on budget violations and anomalies. Get ML-powered cost forecasts, anomaly detection, and optimization recommendations. Gain end-to-end, granular visibility into your cloud resources to ensure every dollar spent is accounted for. Track multi-cloud costs across different teams and business units easily. Get near real-time actionable insights to optimize cloud costs. With ML-powered anomaly detection, you can shut down any unauthorized, costly resource before costs snowball.

Cloudchipr is a cloud optimization platform designed to empower teams with AI agents to answer questions, explain anomalies, send reports, assign tasks, and more. It offers real-time observability and automation on live cloud resources, enabling users to see, track, and predict costs across AWS, GCP, and Azure. With features like dashboards, resource explorer, and live usage & management, Cloudchipr provides unified management of resources across all clouds. It supports cost allocation based on dynamic rules through Dimensions and offers no-code automation workflows to streamline operations. Users can integrate organizational tools for collaboration, track commitment utilization, and identify saving opportunities through a centralized dashboard. Cloudchipr ensures enterprise-grade security compliance and supports integrations with platforms like Snowflake and Kubernetes.

LakeSentry is cost monitoring and optimization software for teams running Databricks. It connects to your Databricks environment and automatically attributes spend across workspaces, jobs, SQL warehouses, and users, so platform and FinOps teams see exactly where every dollar goes without manual investigation. Beyond visibility, LakeSentry continuously detects cost anomalies and idle waste, and applies optimization actions through a safe, progressive workflow — shadow mode (recommendations only), then manual approval, then optional fully automated execution. Delivered as SaaS with a free tier; paid plans are flat monthly, with no per-DBU surcharge and no per-workspace fees. Feature list: - Automatic cost attribution across workspaces, jobs, SQL warehouses, users - Real-time anomaly and idle-waste detection - Progressive optimization: shadow → manual → autopilot - Databricks-native: Unity Catalog usage and cluster lifecycle aware - Flat pricing, unlimited workspaces

Koritsu is a cloud cost optimization platform that combines FinOps expertise with AI to help organizations reduce unnecessary cloud spending across providers such as AWS, Azure, and Google Cloud. It is designed to give companies full visibility into their infrastructure costs, identifying inefficiencies such as overprovisioned resources, idle services, and misconfigured environments that often lead to significant financial waste. It analyzes cloud usage patterns and delivers actionable recommendations through automated insights, enabling teams to optimize their environments without impacting application performance or security. It operates through a structured optimization cycle, where AI agents and cloud experts evaluate costs, prioritize high-impact savings opportunities, and implement quick wins that can deliver measurable results in a short time frame.

Cost Reports are easy to use dashboards that provide complex reporting and filtering for accrued costs. Set filters to see day-to-day cost trends per service, business unit, tag or account. Chain complex logic to cover any reporting use case. Forecasts have confidence intervals that will adjust every day as your infrastructure changes to help you understand where you will end up. Get notified in Slack, Teams, or by email on a daily, weekly, or monthly basis about costs and trends. Receive alerts for cost anomalies. Autopilot analyzes your EC2 workloads and purchases 3 year, no-upfront reserved instances to save you money. Control which compute categories or regions Autopilot manages. Manage commitment and infrastructure changes with ease.

Adaptive6 is a cloud cost governance and optimization platform that helps organizations detect, remediate, and prevent waste in both cloud infrastructure and code. It continuously scans multi-cloud, PaaS, and Infrastructure-as-Code environments to uncover hundreds of inefficiencies, including hidden “shadow waste” beyond obvious cost drivers, and provides engineers with rich context, AI-driven code fixes, remediation scripts, and automated pull requests to accelerate resolution. It embeds shift-left cost guardrails into CI/CD pipelines to proactively flag and prevent inefficiencies before deployment, and automates remediation workflows by identifying resource owners and creating tickets or change requests with technical guidance. With a unified dashboard for visibility, rightsizing recommendations for over-provisioned cloud and Kubernetes resources, policy enforcement, and tools to support cultural accountability, Adaptive6 enables teams to reduce cloud spend.

Provision, manage and scale compute infrastructure on any cloud. Save up to 80% on your costs while ensuring SLA and high-availability. Elastigroup is a cluster software, designed to optimize performance and costs. It enables companies of all sizes and verticals to reliably leverage Cloud Excess Capacity to optimize and accelerate workloads and save up to 90% on infrastructure compute costs. Elastigroup makes use of proprietary price prediction technology to deploy reliably onto Spot Instances. By predicting interruptions and fluctuations Elastigroup is able to offensively rebalance clusters to prevent interruption. Elastigroup reliably leverages excess capacity across all major cloud providers such as EC2 Spot Instances (AWS), Low-priority VMs (Microsoft Azure) and Preemptible VMs (Google Cloud), while removing risk and complexity, providing simple orchestration and management at scale.

Spot by NetApp is a suite of cloud operations solutions designed to optimize and automate cloud infrastructure, ensuring applications receive continuously optimized resources that balance performance, availability, and cost. By leveraging advanced analytics and machine learning, Spot enables organizations to achieve up to 90% cost reduction on cloud compute expenses by dynamically utilizing a mix of spot, reserved, and on-demand instances. The platform offers comprehensive tools for cloud financial management (FinOps), Kubernetes infrastructure optimization, and cloud commitment management, providing full visibility into cloud environments and automating operations for maximum efficiency. With Spot by NetApp, businesses can accelerate their cloud adoption, improve operational agility, and maintain robust security across multi-cloud and hybrid environments.

FinOps LLM is an AI cost management and LLM observability platform for engineering teams running production GenAI. It makes token spend visible across OpenAI, Anthropic, Amazon Bedrock, Google Gemini, Azure, Groq, and other providers and reconciles internal usage data against provider invoices. Token-level costs can be filtered by provider, model, feature, team, customer, environment, and custom dimensions, giving every dollar a clear owner. Attribution and chargeback tools map usage to product surfaces and customer cohorts, support showback, and export data to NetSuite, QuickBooks, CSV, or APIs. Real-time anomaly detection monitors spend, latency, and quality against rolling feature baselines, sending alerts through Slack, PagerDuty, email, or webhooks when behavior changes. Optional budget enforcement and auto-throttling can stop runaway agents, retries, or model shifts before they become expensive.

HCL MyXalytics FinOps, a part of Intelligent Full Stack Observability offering under HCLSoftware AI & Intelligent Operations framework. It is is an Al-driven Cloud FinOps Visibility and Insights product that delivers intelligent insights to help you effectively visualize, manage, and optimize your multi-cloud spending, improve governance, and strengthen your multi-cloud security posture. With MyXalytics FinOps, you can customize your visibility for effective governance and configure policies that help application and business owners avoid cost overruns, compliance, and security vulnerabilities. Further, it also offers effective task allocation and tracking mechanisms to assign the identified issues to concerned teams and track the entire lifecycle until resolution.

Umbrella is an AI-powered cloud financial management platform that gives organizations unified transparency and control over multi-cloud, Kubernetes, and SaaS spend, helping teams detect waste, forecast budgets, and optimize costs with actionable insights rather than manual spreadsheets. It ingests and correlates cloud and usage data to visualize cost patterns, align spending with KPIs, and track savings trends while offering intelligent anomaly detection that flags unusual cost spikes and real-time alerts so teams can act before overruns occur. It includes accurate forecasting and budgeting capabilities that support strategic planning, automated recommendations to eliminate unnecessary spend, and multi-tenant management suited for MSPs and large enterprises. Features also span a cloud pricing comparison tool that evaluates costs across AWS, Azure, and GCP, a savings tracker to monitor implemented optimization actions, and natural-language CostGPT.

AWS Compute Optimizer is a service that provides tailored recommendations to optimize the performance and cost of your AWS resources. By analyzing your usage patterns, it helps you identify opportunities to rightsize your infrastructure, resolve performance issues, and clean up unused resources. Compute Optimizer also offers customizable rightsizing recommendations and helps streamline the migration to AWS Graviton CPUs. With insights into idle resource usage and licensing optimization, the service assists in increasing savings and improving operational efficiency.

Tidal Saver reduces your cloud spend by 70%. Identify and dynamically allocate resources for scheduling, and map workloads to increase resource utilization. Aggregate multi-cloud infrastructure. Allocate the resources needed to execute workloads at runtime without changing workload definitions. Move workloads to the cloud without ever missing the benefits of automation. Share data across teams, and members, monitor and manage cloud resources as demand surges and declines, and save on clouds. Saver provides easy, self-service, role-based access, to support collaboration. Schedule individually, or aggregate infrastructure across multiple cloud accounts for team management. Easily control your schedule with Saver's intuitive interface. Prevent bill shock by creating automated schedules, and assigning individual or grouped resources, by time zone. Keep track of just how much Tidal Saver is saving you. Enable non-IT staff to view reports.

LevelFour is a FinOps platform that finds the waste in cloud, SaaS, and AI spend and ships each saving. It covers AWS, Google Cloud, Azure, and Kubernetes, with SaaS and AI bills in the same system of record. LevelFour applies each saving in your account, opens it as an infrastructure-as-code pull request, or hands your team the steps. Creditas, ClickBus, Cayena, and Darwin Seguros use it to cut their bills. Engineers see cost in pull requests on GitHub, GitLab, Bitbucket, and Azure DevOps, in the CLI, and through an MCP server their AI agents can call. Finance sees each saving on the next bill, with the change, the date, and the person who approved it. The pull request bot prices Terraform, CloudFormation, Pulumi, CDK, and Kubernetes manifests before they merge. Cloud Savings costs 30% of realized savings, and nothing when the bill doesn't drop.

CloudSteer is a cloud resource automation and cost optimization platform for AWS infrastructure that helps teams simplify cloud operations by automating routine tasks and managing resources with minimal manual effort. It enables automated scheduling of AWS services, such as pausing, stopping, and starting EC2 instances and RDS databases based on time-based rules, to eliminate wasted spend and ensure optimal usage of compute resources. It also provides a centralized resource dashboard that gives teams visibility into their AWS environment, helping track and organize resources through intuitive tag management and monitoring, so compliance, reporting, and cost allocation become easier. CloudSteer’s interface is designed to be user-friendly so organizations can quickly set up automation rules, view real-time usage insights, and reduce operational overhead.

Take advantage of the tools included in your Azure subscription to get more value out of the cloud and implement financial governance in your organization. Track resource usage and manage costs across all your clouds with a single, unified view, and access rich operational and financial insights to make informed decisions. Implement governance policies for effective enterprise cloud cost management, and increase accountability with budgets, cost allocation, and chargebacks. Improve the return on your cloud investment by using continuous cost optimization and industry best practices. Manage costs across Azure and AWS from a single location. Get insights based on data from both clouds to simplify your cost management processes.

CloudAvocado is an AWS workload and cost management platform that eliminates idle spend with smart scheduling and continuous rightsizing guidance. Teams use CloudAvocado to automate non working hours behavior, rightsize Auto Scaling groups (ASGs) and container clusters, and visualize utilization and savings across accounts, tags, and regions. Create schedules to start/stop or scale resources across EC2, RDS (where supported by AWS), ECS, EKS, SageMaker, MongoDB Atlas . Apply schedules globally with tags or locally to specific resources and teams. Operate from a single console: start, stop resources, assign tags, apply schedules, and manage ownership so dev, test, QA, analytics, and ML environments stopped when no one is using them. Scale ECS, EKS services and node groups to zero non working hours Optimization where it matters Use Cloud Health to assess ownership, tagging, and scheduling coverage, and to surface recommendations for resources.

cloudNito is an innovative AI-powered SaaS platform designed to help businesses of all sizes optimize their AWS cloud costs. Our solution combines real-time monitoring, advanced anomaly detection, and automated cost-saving actions to eliminate wasteful spending and improve cloud efficiency. Key features include: AI-driven cost anomaly detection Automated resource scaling and optimization Detailed cost allocation and reporting Predictive cost forecasting Customizable alerts and thresholds With cloudNito, companies can save their AWS bills, ensuring maximum value from their cloud investment.

Cloudgov.ai is an agentic AI FinOps platform for continuous cost and policy governance across cloud, multicloud, data, container, and AI environments. It brings AWS, Azure, Google Cloud, Oracle Cloud, Snowflake, Databricks, Kubernetes, OpenAI, Anthropic, and Gemini into one control plane, giving teams a live view of cost, allocation, policy, and risk. Continuous Multicloud Observability connects accounts, analyzes historical spending, filters costs by region, account, and service, and forecasts future spend from history. AI-driven insights identify waste and optimization opportunities, while anomaly detection highlights unexpected spending surges and their financial impact. Ready-to-use Infrastructure as Code remediation snippets help engineering teams apply recommended changes, and Jira integration turns insights and anomalies into assignable work.

Cost control built into your engineering workflow so waste never makes it to production. Track record of 40–50% spend reduction for startups on AWS. Optimize spend and reduce waste before it becomes a problem at scale. Accelerate engineer tasks by removing infrastructure noise. De-risk budget surprises with anomaly detection, automated guardrails, and cost-aware pipelines. Shift-Left FinOps — anomaly detection, budget alerts and AI over-provisioning guardrails built into CI/CD. Full-Stack Visibility — surfaces unused resources, storage bloat and hidden spend across all cloud layers. Blameless Cost Post-Mortems — structured incident analysis that turns one-off overspend into permanent safeguards. FinOps-Native Engineering Practice — cost impact measured as part of feature delivery; lifecycle policies automated.

Kalos by Stratus10 is an AWS cost and security management platform designed for infrastructure teams that want to reduce AWS spend and improve security. Through powerful data aggregation and visualization of your cloud usage, spend, and security compliance, Kalos simplifies cloud management and empowers you to successfully optimize your infrastructure. Stratus10 is an Amazon Web Services (AWS) Advanced Consulting Partner helping organizations migrate to the cloud and implement best practices. We specialize in cloud migration, application modernization, DevOps and DevSecOps, CI/CD pipelines, Windows Server, networking, serverless infrastructure, Kubernetes (K8s), and cybersecurity.

trueno is an AWS cloud intelligence platform that helps engineering, DevOps, FinOps, and security teams monitor cloud environments using a read-only IAM role. It continuously analyzes AWS accounts for security risks, identity issues, cloud misconfigurations, public exposure, compliance gaps, and unnecessary cloud spending without deploying agents or requiring write permissions. The platform combines security monitoring, cloud cost optimization, compliance visibility, infrastructure inventory, and operational insights into a single dashboard. Teams can prioritize findings, automate reporting, monitor multiple AWS accounts, and gain actionable recommendations to improve security posture while reducing cloud costs.

The cloud management platform you’ll wish you’d found sooner. Visualize inventory. Reduce costs. Monitor compliance. Automate remediation. Trusted by engineers, architects, security, and FinOps teams in the world's largest private & public sector organizations. REDUCE COSTS BY 30%: Take FinOps to the next level with best-in-class cost optimization, analysis and forecasting tools that typically deliver sustained cost savings of 25-30%. VISUALIZE & OPTIMIZE: Explore powerful interactive diagrams, and search or export your aggregated inventory. Utilize 200+ customizable rules, alerts, and automations. AGENTLESS & SECURE: Self-hosted on your VM, mitigating the security concerns associated with a traditional SaaS solution. A compliance-friendly solution with no credential sharing. Start optimizing your cloud today.

Reduce cloud cost 30%, provision 150x faster, close security holes, and deploy hybrid-cloud automation in record time. Morpheus is a powerful self-service engine to provide enterprise agility, control, and efficiency. Quickly enable on-prem private clouds, centralize public cloud access, and orchestrate change with cost analytics, governance policy, and automation. Create private clouds, manage public clouds, and consolidate Kubernetes deployment. Provision applications from an on-demand catalog, API/CLI, ITSM, or infrastructure-as-code. Simplify authentication, establish access controls, set policies, and manage security posture. Automate lifecycles from cradle to grave, run workflows, and simplify day-2 actions. Inventory brownfields, rightsize resources, track cloud spend, and centralize visibility.

Instant & guaranteed cloud savings of up to 25% on the entire bill. We offer a comprehensive suite of FinOps and cloud cost optimization solutions tailored to meet the unique needs of different customer segments. CloudKeeper stands out in the fragmented FinOps providers’ space with its expertise in automatic RI management, cost analytics platform, and managed services & resellers. The ISG Research also states that CloudKeeper has proven capabilities and scale in providing FinOps solutions using a combination of platform and cost optimization services. With us, you gain access to 100+ seasoned Cloud FinOps experts, all dedicated to helping you adopt the best practices in FinOps.

Powered by artificial intelligence, Tangoe One is a comprehensive platform to simplify, manage, and optimize your IT spending across telecom, mobile, and cloud technologies. With overarching insight into your technology expenses alongside deep visibility into your service usage, Tangoe One allows you to cut costs, drive efficiencies, and achieve financial predictability. Streamline financial management leveraging the largest ecosystem of global carriers and a broad range of integrations working with your business systems. Monitor cost and usage spikes, make projections, and retrieve critical insight into trends helping to streamline spending and right-size programs with confidence. Deliver the right information to business line managers to better track overall spend, bringing greater transparency and visibility across the organization.

Cloud Repatriation Analyzer (CRA) evaluates public cloud workloads across AWS, GCP, Azure, and DigitalOcean to calculate the financial and technical feasibility of migrating to bare-metal hosting. Core Functionality: - Multi-Cloud Asset Ingestion: Connects via read-only APIs to map resources across compute, storage, databases, and networking. - Automated Waste Identification: Scans 30-day usage metrics to detect ghost storage, idle instances, zombie load balancers, and egress leaks. - Target Topology Blueprinting: Maps cloud workloads to right-sized bare-metal nodes (e.g., Hetzner, OVH), modeling side-by-side Hybrid and Full Migration plans. - TCO & Payback Analytics: Calculates monthly OpEx savings, one-time setup costs, break-even timelines, and 1-, 3-, and 5-year Total Cost of Ownership projections. - Executive PDF Export: Produces exportable migration blueprints detailing resource-level actions, server benchmarks, and managed service dependencies.