Your AI FinOps team
Cloudshrink is a managed FinOps team — not a dashboard. We connect to your LLM providers, attribute every API call to a customer, feature, and model, and deliver the unit economics your board actually needs.
These aren't hypotheticals. These are the questions your board will ask at the next review.
You know your total LLM spend. But can you break it down by customer tier? Your enterprise accounts probably cost 10x more to serve than SMBs. Are you pricing for that?
Your AI search burns $0.12/query. Your summarizer costs $0.03. Are both worth keeping? Is one subsidizing the other?
Was it growth? A new feature? A broken pipeline? A developer experiment? You shouldn't need a week to find out.
We ingest cost and usage data from OpenAI, Anthropic, Gemini, Bedrock, and others. Read-only access, takes minutes.
We work with you to tag AI spend by customer, feature, team, and model. Every dollar gets an owner.
Cost per customer, cost per feature, cost per AI interaction, margin per product tier. In a dashboard your CFO can read.
We flag waste, catch spikes in minutes, and run monthly reviews to find the next round of savings. Typical result: 30–40% cost reduction in month one.
Know exactly how much AI costs per customer tier. Price your plans accordingly. Stop subsidizing power users.
See which AI features are margin-positive and which are burning cash. Make data-driven build/kill decisions.
One dashboard for OpenAI, Anthropic, Gemini, Azure, Bedrock, Mistral, DeepSeek, Groq. Even tracks reasoning tokens that most tools miss.
Automatic period-over-period comparisons. Know within minutes when costs jump, why, and who’s responsible.
AI unit economics formatted for investor updates and board decks. Not a raw dashboard — actual insights.
Monthly reviews, proactive recommendations, and hands-on support to keep costs efficient as you scale.
“What are our AI margins?” Answer with confidence.
Stop guessing which team or feature is driving costs. See it in real time.
Turn unpredictable API bills into unit-based models you can actually budget around.
Pricing scales with your AI spend under management. Most customers pay roughly 2% of their tracked LLM spend.
Keep moving fast. We'll make sure the numbers work.
Free audit for companies spending $10K+/mo on LLM APIs. No commitment.