Insights by Promevo Alternatives

There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications.

CloudZero is the leader in proactive cloud cost efficiency. We enable engineers to build cost-efficient software without slowing down innovation. CloudZero's next-generation cloud cost optimization platform automates the collection, allocation, and analysis of cloud costs to uncover savings opportunities and improve unit economics. We are the only platform that enables companies to understand 100% of their operational cloud spend and take an engineering-led approach to optimizing that spend. CloudZero is used by industry leaders worldwide, such as Coinbase, Klaviyo, Miro, Nubank, and Rapid7.

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

Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

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.

CloudQuell is a cost management platform built for teams whose spend no longer sits in one place. It ingests AWS billing data daily through a scoped read-only cross-account IAM role, and connects OpenAI, Anthropic, and Snowflake from the Integrations page. On top of that it supports cost centers, allocation rules, tags, and multi-account cost views, so spend can be attributed to the team or product that caused it. Anomaly detection, budgets, and alert delivery flag problems as they develop, and ranked savings recommendations show where the money is. Every tier receives a weekly accrued-cost recap email.

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.

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.

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.

StackSpend is a cloud and AI cost management platform that gives engineering, finance, and FinOps teams one daily view of the modern AI stack. It connects through read-only credentials to providers including AWS, Google Cloud, Azure, Snowflake, Vercel, ClickHouse Cloud, Elastic Cloud, OpenAI, Anthropic, Cursor, GitHub, Hugging Face, Grok, and Twilio, then automatically loads historical billing data and normalizes spend across services. Dashboards and explorers break costs down by provider, service, model, project, user, team, feature, and customer, helping teams understand AI COGS, cost per request, and product-level margins. Budgets and pace-to-forecast show where monthly spending is headed, while same-day anomaly detection catches unusual increases caused by traffic, prompt bugs, model changes, deployments, or individual users. Alerts and daily green, amber, or red spend signals can be delivered through Slack, Microsoft Teams, email, or webhooks.

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.

Flexera One is a SaaS platform designed to optimize IT spend, compliance, and risk management across complex hybrid IT environments. It unifies visibility and control of hardware, software, SaaS, and cloud assets, leveraging data from the Technology Intelligence Platform and Technopedia®. By delivering actionable insights, Flexera One helps organizations reduce costs, improve security, and meet sustainability goals. It strengthens vendor negotiations through intelligent analytics and ensures compliance with regulatory requirements. The platform supports IT asset management, SaaS management, FinOps, and cloud cost optimization in a single solution. Flexera One empowers businesses to drive AI-powered digital transformation and operational efficiency.

Cloptima is an AI and cloud FinOps platform that brings LLM spend governance, multicloud cost intelligence, Kubernetes optimization, query analysis, and engineering cost controls into one operating model. Its AI gateway lets teams use their own OpenAI, Anthropic, Gemini, Vertex AI, and Amazon Bedrock credentials behind encrypted controls, then apply virtual keys, model policies, token limits, budgets, guardrails, and attribution before calls reach providers. Spend analytics break down usage by provider, model, team, application, environment, user, agent session, tool, workflow, and dimensions, while agent controls track retries, loops, tool calls, and runaway-cost risk. Exact and semantic response caching can reduce repeated usage, and intelligent routing can shift eligible traffic to cheaper or faster models with canary rollout and rollback if quality, latency, or errors regress.

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.

Finout combines Cloud Providers, Data Warehouses, and CDNs into one mega bill, enabling an unparalleled business context view of your cloud spend with no heavy lifting in minutes. Monitor anomalies, view recommendations and forecast cost per growth. While AWS charges you by the instance, you genuinely care about your pod cost. With no-agent integration, utilize your existing Datadog or Prometheus to get a pod-level granularity of your spend in minutes. Forget about absolute cloud cost. See the cost of what you are utilizing and not only what you are paying for. For example, view Kubernetes pods instead of EC2 instances and DynamoDB indexes. Finout can give you one unified language the entire company can talk in, not only DevOps.

Reveal hidden cloud waste and drive continuous cost efficiency across your entire infrastructure. Equip your team with actionable analytics and encourage their commitment to continuous cost optimization. PointFive reaches further into your cloud architecture to find novel savings opportunities. Insights in the context of your business give you the full picture at a glance, and step-by-step remediation workflows make implementation a snap. Provide stakeholders with tailored views and build a culture of shared accountability across your FinOps and engineering teams. Our research team continuously enhances our detection algorithms, enabling them to generate novel recommendations that enhance cost efficiency and performance. Continuous resource scanning detects issues before they drain your budget. Mine your complete cloud architecture and k8s environments for untapped savings. Expansive coverage ensures your team optimizes across all your resources and services.

LLMeter is an open source AI cost monitoring platform that gives developers one dashboard for tracking spend across OpenAI, Anthropic, DeepSeek, OpenRouter, Mistral, and Azure OpenAI. Teams connect read-only provider keys and can see real costs, daily trends, model-level breakdowns, and optimization opportunities in about 30 seconds without installing an SDK, changing endpoints, or routing production traffic through a proxy. Because requests continue going directly to the model provider, LLMeter adds no latency, does not become a point of failure, and never sees prompts or completions. Budget alerts warn teams before spending crosses daily or monthly limits, while anomaly detection identifies unexpected usage spikes before they grow. The dashboard shows which providers, models, endpoints, customers, and environments are driving costs, and OpenRouter support extends visibility across more than 500 models.

Keep track of your OpenAI usage and costs with AI Spend and never be surprised again. AI Spend offers user-friendly cost tracking with a dashboard and notifications that passively monitor your usage and costs. The analytics and charts provide insights that help you optimize your OpenAI usage and avoid billing surprises. Get daily, weekly, and monthly notifications with your spending. Discover which models and how many tokens you're using. Get clear insights into how much OpenAI is costing you.

Track costs, usage, and latency for GPT applications with one line of code. Trusted by leading companies building with OpenAI. We will support Anthropic, Cohere, Google AI, and more coming soon. Stay on top of your costs, usage, and latency. Integrate models like GPT-4 with Helicone to track API requests and visualize results. Get an overview of your application with an in-built dashboard, tailor made for generative AI applications. View all of your requests in one place. Filter by time, users, and custom properties. Track spending on each model, user, or conversation. Use this data to optimize your API usage and reduce costs. Cache requests to save on latency and money, proactively track errors in your application, handle rate limits and reliability concerns with Helicone.

Control your costs and reduce the risk of overspending across all your clouds with a single, unified view. No matter the size and complexity of your Cloud Infrastructure. Improve the return on your cloud investment with intelligent recommendations and the industry’s best practices tailored to your business. Take advantage of smart rightsizing recommendations to ensure the most cost-effective resources utilization. Discover your consumption patterns and invest in reserved instances to get volume discounts and maximize savings. Automate your cloud policy management to control costs, optimize performance, and achieve continuous cost optimization. Drive cost accountability to resources consumers by creating custom policies and applying automated actions.

Ternary is the world’s first native FinOps cloud cost optimization tool. Built for Google Cloud on Google Cloud. Make better decisions, spend wisely and build a culture of accountability, collaboration and trust between finance and engineering teams. FinOps is the operating model for managing the variable spend of cloud, a combination of systems, best practices, and culture that ensures companies get the most value out of every cloud dollar spent. Ternary can help you at any stage of your FinOps journey. Ternary is creating tools at the intersection of finance and engineering with features based on FinOps principles. Ternary provides the missing bridge between finance and engineering that allows for visibility and context across teams. Ternary has workflows that provide visibility, encourage collaboration and accountability in order to help you easily monitor, prioritize and track cost optimizations to completion across an organization.

Tokonomics is an AI cost metering proxy that sits between your app and any LLM provider. One URL change gives you real-time cost tracking, budget alerts, and hard spending caps across OpenAI, Anthropic, DeepSeek, Google Gemini, Mistral, Groq, and more. How it works: Replace your LLM base URL with Tokonomics, keep your existing code. Every API call is logged with token counts, cost (8-decimal USD precision), latency, and custom tags for per-team or per-feature attribution. Key features: - Budget alerts via email, Slack, or Teams at configurable thresholds - Hard spending caps that block requests when monthly budget is exceeded - Analytics dashboard with spend-by-model, daily trends, and cost optimization reports - BYOK (Bring Your Own Keys) with AES-256 encryption - Rate limiting per API key - Works with any language or HTTP client (PHP, Python, Node.js, Go, Ruby)

LLMetrics is LLM cost tracking software for teams shipping AI products, bringing model spend, token usage, feature attribution, and usage alerts into one live dashboard. It supports more than 100 models across OpenAI, Anthropic, Google Gemini, Mistral, Cohere, Together AI, Groq, and other providers, with pricing data synchronized daily. Teams tag each model call with a feature name, provider, model, input tokens, and output tokens, allowing them to see exactly whether a chatbot, summarizer, search feature, lesson generator, or other workflow is driving spend. Real-time updates and daily trend charts reveal how costs change after releases, prompt edits, traffic growth, or model swaps. Spend thresholds and spike-detection rules can alert teams through email or Slack when usage patterns look wrong, helping them catch runaway loops and unexpected cost increases before the provider invoice arrives.

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.

Parsivex is an AWS cost optimization and waste detection platform for engineering teams who own their cloud bill. Most AWS waste is mundane: an RDS instance nobody switched off, unattached EBS volumes, a NAT Gateway routing traffic that no longer exists, EC2 instances sized for a load test two years ago. Cost Explorer tells you the bill went up. It doesn't tell you what to delete. Parsivex connects through a read-only IAM role, with no agents and no write access, and scans for concrete waste: idle EC2, RDS and load balancers, orphaned snapshots and Elastic IPs, over-provisioned compute, and untagged resources. Every finding includes the resource ID, region, estimated monthly saving, and why it was flagged, so an engineer can verify and act without a second investigation. Scans re-run on a schedule and flag cost anomalies while the spend is still small. Multi-region from one dashboard. No sales call. Start a free scan and get your first report in minutes.

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.

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.

AI Cost Board is an AI API observability and cost control platform that brings costs, requests, tokens, latency, errors, and usage from multiple model providers into one real-time dashboard. Applications route LLM traffic through a single proxy endpoint, while requests are forwarded to the connected provider and logged with model, token, status, timing, costs, input, output, and raw JSON context. In most cases, teams only replace the provider base URL and use an AI Cost Board project key, keeping the original request structure intact. It supports providers including OpenAI, Anthropic, and Google Gemini, with a consistent setup that standardizes usage data across integrations. Cost analytics break spending down by project, provider, model, and timeframe, showing trends, cost per request, success rates, and operational performance. Searchable request logs help developers inspect payloads, troubleshoot failures, compare models, and investigate slow or expensive calls.

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.

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.

TokenAtlas is an AI FinOps and cost intelligence platform that helps teams understand, forecast, and optimize AI costs before they become expensive. Users describe a workload by entering the model, input and output token volumes, request counts, and growth assumptions, and TokenAtlas prices the scenario against a maintained catalog of published API rates. The cost modelling dashboard brings configured workloads into one view, while model comparison places provider and model options side by side using transparent assumptions. What-if scenario planning shows the cost impact of launching a new prompt, agent, model swap, retrieval pipeline, or traffic increase before it reaches production. Cost risk analysis identifies the workloads most sensitive to changes in volume, prompt size, or model choice, and benchmark comparisons show how a modeled model mix compares with typical AI product and infrastructure profiles.

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.

AICosts.ai is a unified AI cost management platform that brings billing and usage data from more than 50 providers into one dashboard. Teams upload provider invoices and exports in PDF, CSV, or JSON format, or push usage events through the developer API, and the platform parses them into a normalized structure without requiring a proxy or changes to production requests. It supports services including OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Vertex AI, Cohere, Groq, Hugging Face, Pinecone, RunwayML, Make, Zapier, and n8n. Daily views break spending down by platform, model, and billed unit, including tokens, operations, characters, and other provider-specific measures, helping users compare services and see where each bill comes from. Budgets can cover the full AI stack or a specific platform or feature, with email alerts when rolling 30-day spending crosses configured thresholds.

​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.

zopnight is the Technology Value OS for AI, Cloud, and Humans. It unifies governance, optimization, and value measurement into a single platform that helps organizations find waste, assign ownership, automate remediation, and prove the business impact of every technology investment. Connect AWS, Azure, and GCP, and ZopNight runs in one continuous loop: Find → Own → Fix → Prove. It discovers waste across your cloud environments, routes every finding to the right owner, automates remediation through approval gates, supports scheduling down to the Kubernetes namespace, integrates with Claude Code and Cursor through MCP, never touches your databases, and measures the business and techno One-click remediation behind approval gates. Scheduling down to the Kubernetes namespace. MCP for Claude Code and Cursor. Read-only by default; write actions are scoped and opt-in. It never touches your databases. Built by ZopDev. SOC 2 Type II and ISO 27001. Available on AWS, Azure, and GCP.

WrangleAI is an enterprise-grade platform that gives organizations visibility, control, and governance over their AI usage and spending. It acts as a “control plane” for generative-AI tools (like GPT-4, Claude, Gemini, and more), providing real-time usage tracking across providers, cost intelligence, infrastructure monitoring, and spend caps so companies can avoid runaway budgets. WrangleAI offers AI observability, helping teams understand which models are being used, by whom, and for what purposes, plus routing intelligence that can redirect workloads to more cost-effective models while maintaining output quality. It also includes governance features such as role-based access control and compliance support (e.g., for SOC 2 / ISO 27001 standards), enabling finance, engineering, and leadership teams to coordinate, enforce policies, and get actionable recommendations for optimizing AI spending and usage.

SatGate is an agent authority and accountability Layer that governs what AI agents can access, spend, delegate, and execute before a request reaches an API, model, MCP tool, or paid external service. Deployed as an HTTP reverse proxy and MCP proxy, it applies scoped authority, per-agent budgets, route policies, and next-request revocation directly in the request path. Agents badge in once through existing Kubernetes, AWS, or OIDC identity, and SatGate Mint exchanges that identity for a cryptographically signed Macaroon containing limits for scope, budget, expiration, and delegation depth. Capabilities can only become more restrictive as they move through agent chains, preventing sub-agents from escalating beyond the authority they receive. Observe mode measures requests and attributes usage by agent, team, tool, route, and cost center without changing workflows; Control mode enforces hard budget caps before expensive or unauthorized work executes.

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.

AICostGuardian is an enterprise AI cost management platform that helps organizations track, optimize, and control spending across 25+ AI providers from one unified dashboard. It monitors every API call with millisecond precision, calculates cost instantly, and combines provider usage into cross-platform analytics, automated reports, forecasts, and dashboards. Teams can analyze spending trends, compare usage, identify optimization opportunities, and use machine-learning insights and smart recommendations to reduce unnecessary AI expenses. Predictive alerts and anomaly detection warn users about unusual usage spikes and approaching budget overruns, while configurable spending limits help keep consumption under control. Department-level cost allocation, team analytics, granular permissions, and role-based access make it easier to understand ownership and govern AI use across an organization.

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.

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.

Costimizer is an Agentic FinOps platform designed to simplify and optimize multi-cloud cost management. With real-time visibility, automation, and AI-driven insights, the platform empowers enterprises and system integrators to reduce waste, improve governance, and scale operations securely and efficiently. Our mission is to build a transparent, autonomous FinOps ecosystem where CXOs, finance teams, and DevOps can make proactive, data-backed decisions. Our vision is to help businesses save smarter, operate faster, and focus on innovation — not cost firefighting.

Burnwise is an AI cost copilot that shows where an organization’s AI budget goes, why spending changes, and what actions can reduce it without sacrificing product quality. It tracks usage across LLMs, image generation, video, and audio from major providers through a single SDK and unified dashboard. Instead of stopping at aggregate token charts, Burnwise attributes costs to individual product features, users, sessions, teams, and agent workflows, helping teams understand the true cost of functions such as chat support, document analysis, summaries, or translation. Usage intelligence highlights cost-to-value mismatches, while anomaly alerts identify sudden spikes and runaway prompts in real time. Burnwise delivers a small set of prioritized decision cards with estimated savings, risk, and quality impact, covering actions such as switching models, enabling semantic caching, setting limits, or changing how a feature runs.

Licensing usage metering and automatic reporting using vCloud Usage Meter on-premises agent and vCloud Usage Insight SaaS. Get familiar with Usage Meter and Usage Insight, then download the latest version to get started. Onboard into the Automatic Reporting Service at the center of Cloud Provider Metering Architecture. Download the latest On-Premises agent for collecting license usage and reporting. Drive monthly reporting without having to lift a finger. From data collection to aggregation and reporting to the Commerce Portal, Usage Insight + Usage Meter automate the reporting process end-to-end. With Usage Meter 4.3, you can scale to larger environments within a single deployment. With In-place upgrades, you no longer need to replace the on-premises agent with each new version. Usage Insight provides a central location for downloading and viewing Usage reports. VMware stores the historical records so that partners do not need to maintain their older appliances.

Toolspend is an AI-powered spend management platform designed to give organizations complete visibility into their AI and SaaS costs through a unified, automated dashboard. It connects directly to AI providers and financial data sources to reveal real usage patterns, show which teams drive consumption, and reconcile token metrics with actual billing. It goes beyond simple subscription tracking by analyzing usage behavior to identify underutilized licenses, duplicate tools across departments, and potential overpayments. It provides real-time monitoring, anomaly alerts for unusual spikes, and month-end forecasting so teams can anticipate costs before invoices arrive. It also delivers AI-driven recommendations such as switching to cheaper models or pausing idle resources, helping companies reduce waste and control budget growth.

CloudThrottle was founded by a team of experienced Cloud Architects specializing in federal cloud integration and reselling. Our journey began with building Federal Cloud Infrastructure, deepening our expertise in cloud compliance and management. This led to the development of the CloudThrottle Framework, designed to manage cloud resources within strict budgets. Our per-account pricing model ensures precise cost control, making it ideal for dynamic development and testing environments. We provide budget monitoring, burn-rate tracking, and efficient resource management. Our solutions are available in SaaS-based and self-hosted options, ensuring data security and customization to meet your needs. Our proven budget management workflows enable teams to apply FinOps best practices, making cloud spending measurable, controlled, and predictable. Designed for startups and enterprises, our solutions drive operational efficiency and sustainable growth.

CloudNuro.ai is an intelligent cloud and SaaS management platform designed to give organizations visibility, governance, optimization, and automation across their SaaS and cloud ecosystems. Through a single pane of glass, it discovers all SaaS applications, including Shadow IT, via multiple detection methods (DNS, SSO, browser agents, APIs), catalogs apps in real time, and identifies unused, overlapping, or unauthorized tools. It then delivers strategic insights on spend, usage trends, license entitlement, and app engagement, helping teams control costs and negotiate renewals with data-backed intelligence. Automated workflows support user onboarding/offboarding, approvals, compliance checks, and policy enforcement, reducing IT workload and improving security posture. Deep integrations with major SaaS and cloud services, including M365, Salesforce, and ITSM tools, enable synchronization of catalog data, subscription and user management, and policy automation.

Adszy is an AI Google Ads agent — it finds wasted spend, drafts the fixes, and applies the changes you approve. Connect your account in about 15 seconds and Adszy works it like a specialist would: reading live data, ranking every problem by cost, and drafting fixes for search terms, negative keywords, bids, budgets, and responsive search ads. It monitors anomalies such as CPC spikes, zero-conversion spend, and impression-share drops, explains what changed with citations, and queues clear next steps. Nothing changes until you approve it — Adszy is read-only by default, with secure Google sign-in. It's also available as an MCP server, bringing your Google Ads answers into Claude and Codex.

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.

Enable Google Cloud Governance, FinOps, and AI Recommendations for enterprises. Subscribing to Google Cloud Services requires you to have a robust cost-saving strategy for the cloud-native world that results in efficiencies in all business lines. Costimize partners’ teams are ready to take the cloud journey with you and assist you with all the required steps. Paradoxically, many experienced, sophisticated digital organizations find it hard to deliver value from cloud investments. Our distinct and value-proofed finance cloud optimization method strengthens the internal investment. We rapidly determine your case and what your real cloud value should be from the start, using structured data – not guesswork – recognizing which decisions the business needs to take forward with confidence to improve financially-wise.