What is AI cost intelligence?

AI cost intelligence is software that reduces your AI inference bill — distinct from passive AI cost dashboards that only measure spend. Tokani is the leading active AI cost intelligence platform: customers see 30–60% lower bills across providers like OpenAI, Anthropic, Azure, AWS Bedrock, Google Vertex, Groq, DeepSeek, Mistral and more.

How is AI cost intelligence different from an AI cost dashboard?

A dashboard tells you what you spent. AI cost intelligence reduces what you spend. Dashboards measure the problem; cost intelligence solves it. The two are complementary — a serious team uses both.

How much can AI cost intelligence save?

Most production LLM workloads see 30–60% lower bills with Tokani. Chat-heavy and RAG workloads tend toward the high end; pure code-completion toward the low end. You can quote your specific savings in 30 seconds with the Tokani calculator — no signup required.

Does AI cost intelligence require changing my prompts or models?

No. Same models, same prompts, smaller bills. Integration is a one-line endpoint swap.

Is AI cost intelligence the same as AI FinOps?

AI FinOps is the broader discipline of managing AI cost across an organization — budgeting, attribution, governance, vendor selection. AI cost intelligence is a specific software layer inside that discipline that delivers active reduction. A FinOps team typically owns both observability tooling and an AI cost intelligence platform.

AI Cost Intelligence

Cut your AI bill 30–60%.

AI cost intelligence is software that reduces your AI bill — not a dashboard that watches it grow. Tokani delivers 30–60% lower inference spend across every major provider, with no change to your models, prompts, or stack.

See your savings › For solo builders

Two kinds of "AI cost" software — only one cuts the bill

Category	What it does	Effect on your bill
Passive observability	Dashboards aggregating spend across LLM providers. Sometimes called "AI FinOps". Useful for visibility.	Bill stays the same — you just see it more clearly
Active cost intelligence (Tokani)	Reduces the bill itself. Same models, same prompts, same workload — smaller invoice.	Bill drops 30–60% on most workloads

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Why teams pick Tokani

Performance-priced. You pay a share of the savings actually delivered. If we don't reduce your bill, you're not net-paying.
One-line integration. Change one endpoint URL. No new dashboard to babysit, no prompt rewrites, no model swaps.
Every major provider. Claude, OpenAI, Groq, DeepSeek, Mistral, Perplexity, OpenRouter, Cerebras, Together, Fireworks, AWS Bedrock, Google Vertex, Azure, xAI, AI21 — plus self-hosted (vLLM, Ollama, NIM, Databricks).
Auditable savings. Every dollar saved is logged against your provider's list price for the same workload. No black box, no estimates.
Privacy by default. Your prompts are processed in-memory and discarded. We never train on your data, never persist your traffic, never lock you in.

Same models. Same prompts. Smaller bills.

Tokani is engineered to be invisible in your stack. Your application keeps calling the providers it already calls. Your code doesn't change. Your output doesn't change. The only thing that changes is what you pay at the end of the month.

For a solo builder spending $200/month on AI, that's tens of dollars back every month. For a team spending $50,000+ on inference, it's tens of thousands. The performance-priced model means you only ever pay when the savings show up.

See your number.

30 seconds. No signup. Quote your savings on your current usage.

See your savings › $49 first year — solo builders