CloudAct.ai is an AI-native FinOps platform that gives engineering and finance teams unified visibility into GenAI, cloud, and SaaS costs. It connects to AWS, Azure, GCP, OpenAI, Anthropic, and 50+ other providers to track spending in real-time. Plans start at $19/month with a 14-day free trial.

How does CloudAct track GenAI and LLM costs?

CloudAct tracks token-level usage and costs across all major GenAI providers: OpenAI (GPT-4, GPT-4o, o1, o3), Anthropic (Claude 4, Claude 3.5), Google Gemini, AWS Bedrock, Azure OpenAI, and DeepSeek. It shows input/output token costs, per-model breakdowns, prompt vs completion cost splits, and usage trends by team or project.

How much does OpenAI cost and how can I track it?

OpenAI pricing varies by model — GPT-4o costs $2.50-$10 per million tokens, o1 costs $15-$60 per million tokens. CloudAct.ai connects to the OpenAI API to track every token, showing per-model costs, daily trends, and team-level breakdowns. It helps teams typically save 20-35% by optimizing model selection and reducing unnecessary API calls.

What cloud providers does CloudAct support for cost tracking?

CloudAct supports all major cloud providers: AWS (Amazon Web Services) via Cost & Usage Reports, Microsoft Azure via Cost Management API, Google Cloud Platform (GCP) via BigQuery billing export, and Oracle Cloud Infrastructure (OCI) via Cost Analysis API. All billing data is converted to the FOCUS 1.3 standard for unified cross-provider analysis.

Can CloudAct track SaaS subscription costs?

Yes. CloudAct tracks recurring SaaS subscription costs including Slack, Canva, Figma, ChatGPT Plus, and any custom SaaS tool. It provides per-seat cost analysis, renewal tracking, license utilization monitoring, and vendor consolidation recommendations to eliminate waste.

How does CloudAct help reduce cloud and AI costs?

CloudAct uses ELSA, an AI-powered FinOps copilot, to detect anomalies, recommend optimizations, and forecast spending. For GenAI, it helps optimize model selection (e.g., switching from GPT-4 to GPT-4o-mini for simple tasks). For cloud, it tracks Reserved Instance utilization and identifies idle resources. Teams typically save 20-35% within 90 days.

What is ELSA, the AI FinOps Copilot?

ELSA (Enterprise Logical Spending Analyst) is CloudAct's built-in AI assistant. You can ask ELSA cost questions in natural language like 'What did we spend on OpenAI last month?' and it generates dashboards, detects spending anomalies, and recommends optimizations — all using your real organizational data with full audit trails.

How much does CloudAct cost?

CloudAct offers three plans: Starter at $19/month (2 seats, 3 providers), Professional at $69/month (6 seats, 6 providers), and Scale at $199/month (11 seats, 10 providers). All plans include a 14-day free trial with no credit card required. Visit cloudact.ai/pricing for full details.

How long does it take to set up CloudAct?

Most teams connect their first integration in under 5 minutes. The full onboarding process — connecting all cloud, GenAI, and SaaS accounts — typically takes less than 30 minutes with the guided setup wizard. No engineering resources required.

Does CloudAct support multi-currency for international teams?

Yes. CloudAct supports 20 currencies (USD, EUR, GBP, INR, JPY, and more) with automatic daily exchange rate updates and 16 timezones. Each organization can set their preferred display currency, and all cost data is automatically converted for consistent reporting across global teams.

AI Costs & Usage

Analytics for LLM gateway, direct API, reserved capacity, and GPU/TPU infrastructure costs

Track and analyze your organization's AI spending across 4 sections: LLM Gateway (LiteLLM), Direct PAYG, Reserved/Commitment (PTU/GSU/PT), and Infrastructure (GPU/TPU).

Supported Providers

Provider	Services Tracked
OpenAI	GPT-4.1, GPT-4.1-mini, DALL-E, Whisper, Embeddings
Anthropic	Claude Opus 4.6, Sonnet 4.6, Haiku
Google AI	Gemini Pro, Gemini Ultra

Cost Metrics

Usage Breakdown

Metric	Description
Total Tokens	Input + output tokens consumed
Input Tokens	Tokens sent to the API
Output Tokens	Tokens returned from the API
API Calls	Number of API requests made