Cost visibility
Know exactly where AI spend is going instead of waiting for provider invoices.
AI Usage Intelligence
Track every AI request before spend turns into leakage.
A usage intelligence layer for OpenAI, Anthropic, Google, Groq, Mistral, LangChain, and internal AI systems.
Cost
Verified
Control
Verified
Savings
Verified
Live Workflow
Usage intelligence workflow
Online
1
Ingest usage
Capture requests, tokens, latency, provider, model, user, feature, and customer metadata.
2
Resolve pricing
Map model usage to pricing logic and normalize costs into one consistent ledger.
3
Attribute spend
Break cost down by team, user, product feature, customer, and provider.
4
Surface insights
Expose live usage, cost trends, waste pockets, and suspicious consumption patterns.
Problem
The operational gap
Most teams only see AI costs after invoices arrive. AIProfitHub turns raw AI usage into real-time cost, model, user, feature, and team visibility.
Outcomes
What this unlocks
Each page is designed to explain the product value before the backend is fully wired.
Team attribution
Separate engineering, product, support, and customer-facing AI spend cleanly.
Usage accountability
Detect high-volume users, expensive features, and runaway request patterns.
Modules
Product modules
A complete surface area for marketing, trials, and progressive backend integration.
Live usage ledger
A normalized stream of every AI request with cost and metadata attached.
Cost allocation dashboard
Breakdowns by model, provider, feature, team, user, and customer.
Provider comparison
Compare spend and usage behavior across AI providers in one interface.
FAQ
Common questions
Short answers for buyers, operators, and early trial users.
Do I need to replace my existing AI provider?
No. AIProfitHub sits above your existing AI stack and turns usage into cost intelligence.
Can this start with uploaded usage data?
Yes. The audit flow can begin with uploaded or demo usage data before full ingestion is connected.
Start now
Turn AI spend into a clear action plan.
Launch the web surface first. Connect real usage, billing, and automation in controlled batches after prospects can understand and try the product.