Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
We provide a unified platform for engineering, finance, and FinOps teams to monitor, allocate, and enhance spending on LLM APIs from various providers. Expenses are categorized based on customizable dimensions that align with your organization's financial reporting practices.
Engineering teams experience seamless cost monitoring that doesn't impede their workflow. CTOs benefit from a consolidated view that facilitates model governance and mitigates unauthorized usage. CFOs receive high-quality financial reports for accurate forecasting, budgeting, and chargebacks, all tailored to their specific reporting frameworks. FinOps teams have access to real-time cost information across multiple providers, integrating effortlessly into their existing cloud management processes.
When your organization utilizes LLM APIs and the board inquires about spending and its justification, we serve as the definitive solution to those questions. Furthermore, our platform empowers teams to make informed financial decisions, increasing accountability and optimizing resource allocation.
Description
FinOps LLM serves as an advanced platform for AI cost management and observability, specifically designed for engineering teams utilizing production GenAI. It enables transparency in token expenditures across a variety of providers such as OpenAI, Anthropic, Amazon Bedrock, Google Gemini, Azure, and Groq, while also aligning internal usage data with invoices from these providers. Users can filter token-level expenses based on provider, model, feature, team, customer, environment, and other custom metrics, ensuring that each dollar spent has a designated owner. Additionally, the platform includes attribution and chargeback functionalities that correlate usage with product interfaces and customer demographics, facilitating showback processes and allowing for data exports to systems like NetSuite, QuickBooks, CSV, or through APIs. Furthermore, real-time anomaly detection features track spending, latency, and quality, comparing them against dynamic feature baselines, and issue alerts via Slack, PagerDuty, email, or webhooks whenever notable changes occur. To further enhance cost control, optional budget enforcement and auto-throttling measures can prevent excessive spending due to runaway agents, excessive retries, or unexpected model shifts. This comprehensive approach ensures that engineering teams can manage their AI resources effectively while maintaining financial oversight.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Claude
Yes
Groq
Yes
OpenAI
Yes
Anthropic
No
Deep Infra
Yes
DeepSeek
Yes
Fireworks AI
Yes
Google AI Studio
Yes
Google Sheets
No
Grok
Yes
Integrations
Claude
Yes
Groq
Yes
OpenAI
Yes
Anthropic
Yes
Deep Infra
No
DeepSeek
No
Fireworks AI
No
Google AI Studio
No
Google Sheets
Yes
Grok
No
Pricing Details
£29
Free for first 3 months
Free Trial
Yes
Free Version
Yes
Pricing Details
$1,500 per month
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
AI SpendOps
Founded
2026
Country
United Kingdom
Website
www.aispendops.com
Vendor Details
Company Name
FinOps LLM
Country
United States
Website
finopsllm.com
Product Features
Cloud Cost Management
Cost Reduction Optimization
Yes
Dashboard
Yes
Data Import/Export
No
Data Storage
No
Data Visualization
No
Resource Usage Reporting
Yes
Roles / Permissions
Yes
Spend and Cost Reporting
Yes