Alternatives to AICostGuardian
Compare AICostGuardian alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to AICostGuardian in 2026. Compare features, ratings, user reviews, pricing, and more from AICostGuardian competitors and alternatives in order to make an informed decision for your business.
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1
New Relic
New Relic
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. -
2
CloudZero
CloudZero
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. -
3
FinOpsly
FinOpsly
FinOpsly is the Value Control™ platform for Cloud, Data, and AI economics. It helps enterprises move beyond cost visibility to actively control spend and business outcomes through explainable, policy-governed AI automation. Unlike reporting-only FinOps tools, FinOpsly unifies cloud (AWS, Azure, GCP), data (Snowflake, Databricks, BigQuery), and AI costs into a single system of action — enabling teams to plan spend before it happens, automate optimization safely, and prove value in weeks, not quarters. FinOpsly enables enterprises to: Map spend to business value across products, teams, customers, and workloads Explain cost drivers clearly with AI-generated context and root-cause analysis Automate optimization safely using policy-driven, explainable agents Prevent drift and overages before they impact budgets or performance -
4
Datadog
Datadog
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.Starting Price: $15.00/host/month -
5
Toolspend
Toolspend
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.Starting Price: $14.99 per month -
6
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 -
7
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 -
8
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 -
9
WrangleAI
WrangleAI
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.Starting Price: $25.15 per month -
10
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 -
11
Amnic
Amnic
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. -
12
ZenLLM
ZenLLM
ZenLLM is an AI cost optimization platform for engineering teams running LLM applications in production. It connects provider invoices to the application behavior behind them, showing which prompts, workflows, models, customers, retries, and request paths are driving spend. Teams send request-level telemetry through the ZenLLM SDK and can attach business context such as workflow, owner, customer, team, or product feature without storing prompt or response content. It monitors token usage, model selection, latency, errors, retries, and cost, then surfaces the waste patterns hidden by aggregate provider dashboards. It detects context accumulation when conversations or agents resend growing histories, premium-model overuse on low-risk work, retry loops that repeat expensive context, stale system prompts, routing mistakes, anomalies, and weak cost ownership.Starting Price: $49 per month -
13
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. -
14
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. -
15
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 -
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Helicone
Helicone
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.Starting Price: $1 per 10,000 requests -
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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 -
18
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 -
19
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. -
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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 -
21
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 -
22
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 -
23
Finout
Finout
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.Starting Price: $500 per month -
24
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 -
25
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. -
26
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 -
27
Flexera One
Flexera
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. -
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SatGate
SatGate
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.Starting Price: $99 per month -
29
Requesty
Requesty
Requesty is a cutting-edge platform designed to optimize AI workloads by intelligently routing requests to the most appropriate model based on the task at hand. With advanced features like automatic fallback mechanisms and queuing, Requesty ensures uninterrupted service delivery, even during model downtimes. The platform supports a wide range of models such as GPT-4, Claude 3.5, and DeepSeek, and offers AI application observability, allowing users to track model performance and optimize their usage. By reducing API costs and improving efficiency, Requesty empowers developers to build smarter, more reliable AI applications. -
30
Binadox
Binadox
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. -
31
Vantage
Vantage
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.Starting Price: $30 per month -
32
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 -
33
Mastek Lightbeam
Mastek
Mastek Lightbeam is an AI-driven workload optimization solution for Snowflake Data Cloud that maximizes efficiency, minimizes costs, and accelerates performance by 2×–5× through real-time, in-place analytics, without ever storing your data. It features a query analyzer and advanced query optimizer to pinpoint and remediate expensive or underperforming queries, unified spend-control dashboards to monitor usage and avoid cost overruns, and usage & billing forecasting to project budgets accurately. Built-in generative AI insights & recommendations and predefined scenarios deliver immediate, actionable guidance, while a free trial (including a SaaS license, query analyzer, advanced optimizer, and one super admin) lets teams validate value on live workloads. Custom plans add tailored deployments, increased user/admin limits, and bespoke features. -
34
HPE Consumption Analytics
Hewlett Packard Enterprise
The HPE Consumption Analytics Portal is now the metering and analytics component of HPE GreenLake, the consumption-based IT offering from HPE Pointnext Services that gives you the agility and economics of the public cloud in your own data center. Get granular visibility into your usage and costs with interactive dashboards and a drag-and-drop report experience. Stay on top of IT spending with flexible budgets and a rules-based recommendation engine for consumption-based services. Forecast demand to prevent a shortage from becoming an outage with decision-making power to plan your capacity. he HPE Consumption Analytics Portal is part of HPE GreenLake, delivering even more transparency into how your usage and commitments determine your monthly cost. Get more decision-making power to plan your capacity for best workload performance. -
35
Portkey
Portkey.ai
Launch production-ready apps with the LMOps stack for monitoring, model management, and more. Replace your OpenAI or other provider APIs with the Portkey endpoint. Manage prompts, engines, parameters, and versions in Portkey. Switch, test, and upgrade models with confidence! View your app performance & user level aggregate metics to optimise usage and API costs Keep your user data secure from attacks and inadvertent exposure. Get proactive alerts when things go bad. A/B test your models in the real world and deploy the best performers. We built apps on top of LLM APIs for the past 2 and a half years and realised that while building a PoC took a weekend, taking it to production & managing it was a pain! We're building Portkey to help you succeed in deploying large language models APIs in your applications. Regardless of you trying Portkey, we're always happy to help!Starting Price: $49 per month -
36
Braintrust
Braintrust Data
Braintrust is an AI observability and evaluation platform designed to help teams build, monitor, and improve AI systems in production. It enables users to capture and inspect real-time traces of AI interactions, including prompts, responses, and tool usage. The platform allows teams to measure performance using automated and human evaluations to ensure output quality. Braintrust helps identify issues such as hallucinations, regressions, and performance drops before they impact users. It supports prompt and model comparisons, making it easier to optimize AI workflows over time. With scalable trace ingestion and real-time monitoring, teams gain full visibility into how their AI systems behave. The platform integrates with multiple programming languages and tools, allowing developers to work within their existing tech stack. Overall, Braintrust provides a comprehensive solution for maintaining and improving AI quality at scale. -
37
TokenAtlas
TokenAtlas
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.Starting Price: $190 per year -
38
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 -
39
PointFive
PointFive
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. -
40
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 -
41
Tangoe
Tangoe
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. -
42
Revefi Data Operations Cloud
Revefi
Your zero-touch copilot for data quality, spending, performance, and usage. Your data team won’t be the last to know about broken analytics or bottlenecks. We pull out anomalies and alert you right away. Improve your data quality and eliminate downtimes. When performance trends the wrong way, you’ll be the first to know. We help you connect the dots between data usage and resource allocation. Reduce and optimize costs, and allocate resources effectively. We slice and dice your spending areas by warehouse, user, and query. When spending trends the wrong way, you get a notification. Get insights on underutilized data and its impact on your business value. Revefi constantly watches out for waste and surfaces opportunities for you to better rationalize usage with resources. Say goodbye to manual data checks with automated monitoring built on your data warehouse. You can find the root cause and solve issues within minutes before they affect your downstream users.Starting Price: $299 per month -
43
Infizo Usage
Infizo
Welcome to Infizo Usage, where we redefine utility tracking and management. Our platform adapts to the operational needs of your facilities, fostering more efficient utility consumption and maintenance operations. Customized workflows empower you to monitor utility usage precisely, aligning with your sustainability goals and optimizing resource management for maximum efficiency and cost savings. Seamlessly track electricity, water, and gas usage across all your facilities with automated systems designed for accuracy. Monitor and evaluate the performance of assets to identify high-consumption points and optimize for efficiency. Keep a close eye on utility expenditures with real-time tracking that helps prevent budget overruns. Schedule and receive notifications for preventive maintenance, ensuring that all assets are functioning optimally to prevent excessive utility usage. Access detailed reports to analyze consumption patterns and identify saving opportunities.Starting Price: $59.78 per month -
44
Nomad
Nomad
Nomad is an AI-powered fuel management and fleet intelligence platform designed to help trucking companies monitor, control, and optimize their fuel spending through a single, unified system. It consolidates all fuel-related operations into one interface, giving fleets complete visibility into transactions, pricing, and driver activity while turning fuel spend, one of the highest operational costs, into actionable data. It provides real-time dashboards that track key performance indicators and display live fuel prices down to individual truck stops, enabling drivers and managers to quickly compare costs and make more efficient fueling decisions. It includes AI-powered fraud detection that monitors transactions continuously, flags unusual activity, and enforces customizable spending controls to prevent unauthorized use. Nomad also automates operational workflows by generating reports on usage, savings, and performance, supporting tax automation, and integrating. -
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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 -
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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.
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Replex
Replex
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. -
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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. -
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Domino Enterprise AI Platform
Domino Data Lab
Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency. -
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Cimpl
Upland Software
Upland Cimpl is a cloud-based, multitenant telecom and IT expense management solution that enables organizations to better manage their Enterprise Digital Footprint™, which includes complex inventory, cost, and usage of IT, telecom, wireless, and cloud services. Cimpl's software-as-a-service platform brings together actionable data analytics and automates business processes to ensure optimal ROI on technology assets. By freeing resources through automation, and streamlining the management of both assets and spending, organizations and their employees can measure, manage, and align consumption at scale.