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About

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.

About

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Finance operations leaders at AI-native SaaS companies who need to reconcile multi-provider usage, enforce budgets, and understand cost per feature

Audience

Platform and infrastructure leads who own the cloud bill, plus data-platform and AI/ML-platform leads at teams where Snowflake credits or LLM API spend have become their own line item. Typically 20–250 engineers, 50–500 employees, and roughly $20K–$200K a month of combined AWS, OpenAI, Anthropic and Snowflake spend. The common thread is a small team that owns cost without a dedicated FinOps function.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$19.99 per month
Free Version
Free Trial

Pricing

$99/month
Free under $10K monthly spend. Starter $99/mo for spend under $50K, Growth $199/mo for $50K–$200K. Monthly or annual — annual saves 17% — both self-serve by card, no sales call. Pricing is a flat fee, not a percentage of cloud spend.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

AICosts.ai
United States
www.aicosts.ai/

Company Information

CloudQuell
Founded: 2026
United States
www.cloudquell.com

Alternatives

Alternatives

Bifrost

Bifrost

Maxim AI

Categories

Categories

Cloud Cost Management Features

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

Integrations

Anthropic
OpenAI
Amazon Bedrock
Claude
Cohere
Discord
Gemini
Gemini Enterprise Agent Platform
GitHub
Google Cloud BigQuery
Google Cloud Platform
JSON
Jira
Kubernetes
Make
Microsoft Azure
Model Context Protocol (MCP)
Slack
Snowflake
n8n

Integrations

Anthropic
OpenAI
Amazon Bedrock
Claude
Cohere
Discord
Gemini
Gemini Enterprise Agent Platform
GitHub
Google Cloud BigQuery
Google Cloud Platform
JSON
Jira
Kubernetes
Make
Microsoft Azure
Model Context Protocol (MCP)
Slack
Snowflake
n8n
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