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About

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.

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

AI agency technical leads who need to monitor client projects, troubleshoot model calls, and control multi-provider spending from one dashboard

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

$9.99 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:

Review this Software

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

AI Cost Board
United States
aicostboard.com

Company Information

CloudQuell
Founded: 2026
United States
www.cloudquell.com

Alternatives

Alternatives

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 Web Services (AWS)
Claude
Gemini
Grok
JSON
Mistral AI
Snowflake

Integrations

Anthropic
OpenAI
Amazon Web Services (AWS)
Claude
Gemini
Grok
JSON
Mistral AI
Snowflake
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