Alternatives to FinOpsly
Compare FinOpsly alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to FinOpsly in 2026. Compare features, ratings, user reviews, pricing, and more from FinOpsly competitors and alternatives in order to make an informed decision for your business.
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1
Capital One Slingshot
Capital One
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. -
2
Unravel
Unravel Data
Unravel is an AI-native data observability platform designed to help modern enterprises detect, resolve, and prevent data issues at scale. It uses intelligent, automated agents that work alongside data teams to surface insights, guide decisions, and reduce operational toil. Unravel brings data observability and FinOps together, enabling organizations to improve performance, ensure reliability, and optimize cloud data spending. The platform provides end-to-end visibility across pipelines, workloads, and infrastructure. With agent-driven actionability™, Unravel can take action on behalf of teams, integrate directly with existing tools, or recommend next-best actions. It supports major data platforms including Databricks, Snowflake, and Google Cloud BigQuery. By combining automation with human control, Unravel transforms data observability into a collaborative, always-on partner. -
3
OpenOps
OpenOps
OpenOps is a no-code, open-source cloud automation platform built to simplify FinOps, governance, and remediation across multi-cloud environments. It allows organizations to automate cloud cost management without choosing between rigid off-the-shelf tools or complex custom-built solutions. OpenOps provides pre-packaged, best-practice workflows that can be customized or extended using a no-code builder. Teams can design automations with conditional logic, approvals, scheduling, and thresholds while keeping humans in the loop. The platform integrates deeply with cloud providers, cost visibility tools, DevOps platforms, and communication systems. OpenOps helps organizations avoid vendor lock-in by supporting multi-cloud strategies and existing tooling. Security, transparency, and granular control are central to its design.Starting Price: $2000/month -
4
FinOps LLM
FinOps LLM
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.Starting Price: $1,500 per month -
5
Mavvrik
Mavvrik
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. -
6
LLMetrics
LLMetrics
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.Starting Price: $49 per month -
7
ManageEngine CloudSpend
ManageEngine
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.Starting Price: 1% of cloud bill -
8
Cloptima
Cloptima
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.Starting Price: $49 per month -
9
AI SpendOps
AI SpendOps
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.Starting Price: £29 -
10
Corz Cloud
Corz.io
Corz Cloud Platform simplifies Hybrid Cloud Cost Management with an optimized solution for AWS, Azure, and Google Cloud. Corz Cloud Platform is built for developers and managers. Teams can now directly get granular Cloud costs and Optimization recommendations. With one click, set up automated policies to manage and reduce Cloud expenses. Receive various notifications for cloud billing or usage anomalies. Product owners get a complete view of Cloud spending across the enterprise. Get a granular view of your Cloud spending. Receive alerts when individual teams exceed Cloud spending budgets. Define a set of automated policies across teams. Identify unused resources, setup policies to run in an automated manner. Identify spending of each team across Cloud Providers. Implement show back of Cloud usage costs to individual teams. Shutdown idle resources when not used. Reduce your Cloud Spending by setting up automated shutdown policies.Starting Price: $100 per month -
11
Traccia
Algen AI
Traccia is an OpenTelemetry-native observability, governance, and policy enforcement platform for production AI agents. It gives engineering teams complete visibility into every LLM call, tool invocation, decision, token, and dollar spent across frameworks like LangChain, CrewAI, OpenAI Agents SDK, AutoGen, and LlamaIndex. Beyond tracing, Traccia helps organizations govern AI systems with runtime policies that can detect and block unsafe behavior, runaway costs, restricted model usage, and PII exposure before incidents reach production. Accurate cost attribution, agent health monitoring, a unified agent registry, and EU AI Act evidence generation make it suitable for enterprise deployments. With a lightweight open-source SDK and managed platform, Traccia enables teams to build, debug, monitor, and govern AI agents at scale without vendor lock-in, using standard OpenTelemetry instrumentation.Starting Price: $99/month -
12
Tokonomics
Tokonomics
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)Starting Price: $0/month -
13
LLMeter
LLMeter
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.Starting Price: $19 per month -
14
Cloudgov.ai
Cloudgov.ai
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. -
15
Edgee
Edgee
Edgee is an AI gateway that sits between your application and large language model providers, acting as an edge intelligence layer that compresses prompts before they reach the model to reduce token usage, lower costs, and improve latency without changing your existing code. Applications call Edgee through a single OpenAI-compatible API, and Edgee applies edge-level policies such as intelligent token compression, routing, privacy controls, retries, caching, and cost governance before forwarding requests to the selected provider, including OpenAI, Anthropic, Gemini, xAI, and Mistral. Its token compression engine removes redundant input tokens while preserving semantic intent and context, achieving up to 50% input token reduction, which is especially valuable for long contexts, RAG pipelines, and multi-turn agents. Edgee enables tagging requests with custom metadata to track usage and spending by feature, team, project, or environment, and provides cost alerts when spending spikes.Starting Price: Free -
16
Microsoft Cost Management
Microsoft
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. -
17
IBM Cloudability
IBM
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. -
18
Burnwise
Burnwise
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.Starting Price: €9 per month -
19
StackSpend
StackSpend
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.Starting Price: $23 per month -
20
Pelanor
Pelanor
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. -
21
Umbrella
Umbrella
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. -
22
Open iT StorageAnalyzer™
Open iT, Inc.
Open iT StorageAnalyzer™ monitors and analyzes disk, file system, and backup usage to help organizations optimize storage resources and reduce IT costs. It identifies unused, stale, or unnecessary data that can be deleted or moved to lower-cost storage tiers by tracking file age and activity. Detailed reports broken down by user, project, department, business unit, and file type give administrators clear visibility into exactly where storage is being consumed and by whom. StorageAnalyzer™ also supports accurate IT chargeback by attributing storage costs based on actual measured usage rather than flat-rate estimates. By surfacing capacity trends and bottlenecks across on-premises, cloud, and hybrid environments, it enables proactive storage management, prevents unexpected capacity issues, and supports better planning for future storage investments.Starting Price: Contact Vendor -
23
Nutanix Cost Governance
Nutanix
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. -
24
AI Cost Board
AI Cost Board
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.Starting Price: $9.99 per month -
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AI Spend
AI Spend
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.Starting Price: $6.61 per month -
26
Microsoft Copilot in Azure
Microsoft
Microsoft Copilot in Azure is an AI-powered assistant that helps users simplify operations, optimize resources, and streamline cloud management across Azure environments. Integrated deeply within the Azure ecosystem, it assists in designing, operating, and troubleshooting workloads through natural language interaction. Copilot automatically recommends service configurations, cost optimizations, and security improvements based on your organization’s policies and environment. It enables users to orchestrate data across Azure services, summarize issues, and suggest actionable solutions in real time. Backed by Microsoft’s enterprise-grade infrastructure, it ensures compliance with over 100 certifications and unmatched security supported by 34,000 security engineers. Copilot in Azure empowers teams to manage their entire cloud lifecycle—from design to optimization—more efficiently and intelligently. -
27
Opsolute
Opsolute
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.Starting Price: $499/month -
28
IBM Kubecost
Apptio, an IBM company
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.Starting Price: $199 per month -
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CloudQuell
CloudQuell
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.Starting Price: $99/month -
30
Unity AI Gateway
Databricks
Unity AI Gateway provides centralized governance, observability, and spend controls across enterprise AI systems, helping organizations manage agents, tools, models, MCPs, and AI frameworks from a single governed layer. It applies consistent governance across Databricks-hosted AI, external models, coding agents, agent harnesses, and other AI services without locking teams into a single provider or stack. Identity-aware policies control what agents can access, which actions they can take, and which tools they can use, while built-in, custom, and third-party guardrails enforce safety and compliance across prompts, responses, and interactions. It captures prompts, traces, tool calls, payload logs, audit logs, token usage, and policy decisions to monitor behavior, investigate incidents, and support compliance. Centralized cost controls track consumption across users, teams, applications, agents, and providers, with budgets, rate limits, and hard spend caps. -
31
Spanlens
Spanlens
Spanlens is an open-source (MIT) LLM observability platform that lets developers monitor every call their application makes to OpenAI, Anthropic, Gemini, Mistral, OpenRouter, Azure OpenAI, or a local Ollama model. Integration takes one line: swap your client's baseURL to the Spanlens proxy, or run "npx @spanlens/cli init" and the wizard rewrites your code automatically. From that moment, every request is recorded with its model, token counts, latency, cost, and full prompt and response body, with streaming responses reconstructed automatically. The dashboard turns that raw log into operational insight. Cost tracking breaks spend down per request, per model, and per end user, and parses prompt-cache tokens separately so you see real cache savings rather than sticker price. Agent tracing visualizes multi-step workflows as Gantt waterfalls and node-and-edge graphs, highlighting the critical path so you can find the slowest dependency chain in a fan-out. -
32
AICosts.ai
AICosts.ai
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.Starting Price: $19.99 per month -
33
LakeSentry
Dark Lake
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 workspacesStarting Price: $250/month -
34
Red Hat CloudForms
Red Hat
Define a new, scalable cloud infrastructure. Exert control and clear structures in your cloud environment by creating separate organizations, defining relationships between users, tenants, and projects, and managing quotas and services. Provision your systems through cloud and virtualization platforms like Red Hat Enterprise Virtualization, Amazon, and Microsoft Azure, set retirement dates, and scale your environment on your terms. Take your real-world environment and simulate what-if scenarios for proactive resource planning and continuous insights into consumption levels to allow detailed chargeback, quotas, and policy creation. Get a handle on performance, capacity, and workloads through SmartState historical and trend analytics for different aspects of your cloud environment. Define the policy state for your environment, and follow up with automatic alerts and responses as your environment changes. -
35
Oberhahn
Oberhahn
Oberhahn is organizational intelligence for AI. Connect your coding agents, LLM providers, SDKs, and proxies with a one-liner or copy-paste config. Live data streams to your dashboard immediately, then we surface what matters across your entire organization: security exposures in prompts and tool calls, real-time AI spend attributed to models and teams, context intelligence showing what your agents send and repeat, and behavioral intelligence revealing which teams and workflows actually drive AI value. See your organization's AI usage in real time, attribute it to people and teams, and prove impact where it matters most.Starting Price: $49/month -
36
CodeCargo
CodeCargo
CodeCargo is a GitHub-native control plane for enterprises operating GitHub at scale. It automates what GitHub Actions does not handle on its own. Administration centralizes organization and repository management with role-based access control and a service catalog. Migration moves CI/CD onto GitHub Actions from Jenkins, GitLab CI, CircleCI, Azure DevOps, Bamboo, and Bitbucket, with bulk migration pull requests across hundreds of repositories. Compliance runs a scan on every workflow-file edit, surfaces violations on the pull request, scores each workflow from 0 to 100, detects drift, keeps audit-ready evidence, and opens automated remediation pull requests. CargoWall, an eBPF kernel-level egress firewall for GitHub Actions runners, controls network egress per workflow, per repository, and organization-wide with DNS interception. Chargeback attributes GitHub Actions spend to teams, and developer self-service provides compliant-by-default golden-path pipelines.Starting Price: $15/user/month -
37
Everest
Everest
Everest ERP is an AI-native enterprise resource planning platform built from the ground up to replace legacy systems, streamline operations, and enable modern subscription- and usage-based business models. It supports order-to-cash, revenue recognition, and multi-entity consolidation in real time, giving finance and operations teams unified visibility across invoicing, contracts, cloud and people costs, and global statutory books. Built-in modules like asset management, HR/people cost tracking, and cloud cost management eliminate spreadsheets and disconnected systems by combining workflow routing, depreciation, payroll, headcount, and spend attribution within the same system. Everest's AI-first architecture includes pre-built and custom agents that business users can define using natural language, alongside a Live Sandbox environment to test changes safely before deployment. -
38
OpenCost
OpenCost
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.Starting Price: Free -
39
Yotascale
Yotascale
Yotascale delivers dynamic cloud cost management with unmatched business insights, attribution accuracy, and time to value, helping modern SaaS organizations reduce cloud spend by up to 50%. Yotascale is the only solution that makes it easy for distributed teams to take ownership of cloud costs, with 95% accurate, granular cost attribution in their business context, all-in-one support for multi-cloud and containers (including Kubernetes), and actionable recommendations that make optimizing cloud costs simple, efficient, and predictable. - Time to value in days, not weeks - 95 accurate, granular cloud cost attribution - Cloud cost visibility in YOUR business context - Actionable, scenario-based recommendations engineers can trust - All-in-one support for multi-cloud and containers -
40
CloudNatix
CloudNatix
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. -
41
Permify
Permify
Permify is an authorization service designed to help developers build and manage fine-grained, scalable access control systems within their applications. Inspired by Google's Zanzibar, Permify enables the structuring of authorization models, storage of authorization data in preferred databases, and interaction with its API to handle authorization queries across various applications and services. It supports multiple access control models, including Role-Based Access Control (RBAC), and Attribute-Based Access Control (ABAC), allowing for the creation of granular permissions and policies. Permify centralized authorization logic, abstracting it from the codebase to facilitate easier reasoning, testing, and debugging. It offers flexible policy storage options and provides a role manager to handle RBAC role hierarchies. The platform also supports filtered policy management for efficient enforcement in large, multi-tenant environments.Starting Price: Free -
42
ISG Inform
ISG
Benchmark your organization’s performance across cost, quality, and productivity metrics to identify improvement opportunities. Understand where you are today, where you will be in the future, and support chargeback, showback, and portfolio comparisons. Identify efficiency opportunities related to your transformation goals and new operating model. Track achievement of digital transformation initiatives and understand your digital maturity, investment level, and business value realization. -
43
Chargeback
Chargeback.io
Chargeback is an automated chargeback prevention service designed to do exactly what its name suggests—prevent chargebacks. This innovative platform alerts you to transactions where a customer has just initiated a chargeback request, enabling you to automatically refund these transactions before they escalate. This proactive approach significantly reduces your chargeback rate, leading to lower fees and fewer disputes with payment processors. The system's automated alerts notify you of incoming chargeback requests 24-48 hours before they are officially filed, giving you ample time to issue a refund and prevent the chargeback from proceeding. Chargeback operates seamlessly in the background, providing peace of mind and maintaining positive relationships with payment processors. There are no onboarding fees, contracts, or monthly minimums. You only pay when Chargeback provides an alert, making it a cost-effective solution tailored to your needs.Starting Price: $35/alert -
44
Waterfall
Waterfall
Waterfall is a credit infrastructure for platforms building on large language models, designed to turn AI usage into a business model without requiring teams to build their own billing stack. It gives each user, agent, or team a stablecoin-backed credit wallet, then meters every model call by provider, model, token count, and cost. Requests can be routed through the Waterfall Gateway or integrated through TypeScript and Python SDKs, with usage attributed to the correct wallet in real time. Each API call settles atomically against the wallet as it happens, so credits decrease, and revenue is recognized per request instead of through delayed invoices and manual reconciliation. Waterfall supports more than 300 models across providers such as OpenAI, Anthropic, DeepSeek, and xAI, allowing products to use multiple AI services while maintaining one accounting layer.Starting Price: $20 per month -
45
Azure Data Lake Storage
Microsoft
Eliminate data silos with a single storage platform. Optimize costs with tiered storage and policy management. Authenticate data using Azure Active Directory (Azure AD) and role-based access control (RBAC). And help protect data with security features like encryption at rest and advanced threat protection. Highly secure with flexible mechanisms for protection across data access, encryption, and network-level control. Single storage platform for ingestion, processing, and visualization that supports the most common analytics frameworks. Cost optimization via independent scaling of storage and compute, lifecycle policy management, and object-level tiering. Meet any capacity requirements and manage data with ease, with the Azure global infrastructure. Run large-scale analytics queries at consistently high performance. -
46
OrcaRouter
OrcaRouter
OrcaRouter is an OpenAI-compatible AI model router that sends each prompt to the right model across OpenAI, Anthropic, Gemini, DeepSeek, Qwen, Kimi, and 200+ frontier and open source models. It is built to preserve frontier answer quality while reducing AI inference spend by grading every prompt and routing hard reasoning to frontier models and routine work to lower-cost open source models. The routing is quality-graded, never a blind, cheap-model swap, and each request shows the difficulty grade, selected model, provider, and cost so routes are visible, auditable, and reproducible. Developers can switch by changing the API base URL, while existing SDKs, model names, and streaming behavior continue to work as before. OrcaRouter supports automatic failover, so if a provider goes down mid-stream, traffic can switch transparently, and the application avoids user-facing errors. It also includes API key management with spend caps, model allowlists, rate limits, budget enforcement, and more.Starting Price: $29 per month -
47
FastRouter
FastRouter
FastRouter is a unified API gateway that enables AI applications to access many large language, image, and audio models (like GPT-5, Claude 4 Opus, Gemini 2.5 Pro, Grok 4, etc.) through a single OpenAI-compatible endpoint. It features automatic routing, which dynamically picks the optimal model per request based on factors like cost, latency, and output quality. It supports massive scale (no imposed QPS limits) and ensures high availability via instant failover across model providers. FastRouter also includes cost control and governance tools to set budgets, rate limits, and model permissions per API key or project, and it delivers real-time analytics on token usage, request counts, and spending trends. The integration process is minimal; you simply swap your OpenAI base URL to FastRouter’s endpoint and configure preferences in the dashboard; the routing, optimization, and failover functions then run transparently. -
48
Lambda Lab
Lambda Supply Chain
Lambda Lab is an advanced supply chain network design and route optimization platform created by Lambda Supply Chain. The platform helps supply chain professionals use AI-driven insights to make better decisions about costs, service levels, sustainability, and operational performance. It supports a wide range of use cases, including parcel network optimization, global supply chain design, inventory allocation, sourcing optimization, capacity planning, and cost-to-serve analysis. Lambda Lab is cloud-native, scalable, and designed to handle everything from simple models to complex SKU-level supply chain scenarios. The platform includes collaboration tools, validation checks, sustainability optimization, and support for e-commerce parcel rate contracts. Lambda Lab helps companies model what-if scenarios, improve logistics planning, reduce costs, and build more resilient supply chain networks. -
49
Azure Costs
app.limit
IT cloud cost optimization isn't just about cutting costs, it's about spending more on the right resources to maximize values. Start right now with azure costs. Identify unnecessary spendings and underutilized resources to save up to 25% of your current monthly Azure spendings, without losing service quality and availability. Keep all your cloud-based services fully structured and compliant to your existing regulations and audit requirements. Optimize your spending with trend analytics, resource tagging and spending breakdowns. Govern your finances with reporting for operations, finance and management. Identify and understand cost drivers and spikes with customizable dashboards, mail reports and alerts.Starting Price: $29 per month -
50
LiftLab
LiftLab
LiftLab is a marketing analytics platform built to optimize media spend and maximize return on advertising investment through data-driven measurement, modeling, and experimentation. At its core is the “LiftLab Trust Engine,” which unifies econometric modeling (an agile Marketing Mix Model, or MMM) with real-world media experiments, such as geo-testing, to deliver transparent, unbiased insights into how each dollar spent on marketing contributes to revenue, both in the short term (performance) and long term (brand uplift and effectiveness). Users connect their sales, ad spend, post-purchase surveys, brand-lift studies, and attribution signals (both online and offline revenue), allowing LiftLab to measure incrementality, isolating the true impact of media spend, while eliminating reliance on last-click attribution or walled-garden platform analytics.