The Financial OS forValue-
Maxxing
One ledger for every dollar of AI spend. See where it goes, who owns it, what it produced, and what it returned. Stop the surprises before the invoice arrives.
RunrateThe problem
AI spend has outgrown the tools built to manage it.
The moment AI hits production, the gap opens — and the longer it runs unchecked, the more it costs to keep.
No cost truth
Bills and receipts everywhere — no cost per ticket, claim, or project.
Forecasting is guesswork
Agent spend scales with volume — every forecast is a ceiling with no floor.
Controls lag the spend
The overrun surfaces when the invoice does — after the money is gone.
Margin erodes inside working workflows
Retries, fallbacks, and shared infra inflate true unit cost — all outside the LLM bill.
How value flows
From scattered invoices to defended outcomes.
Runrate sits between your AI stack and your P&L — every dollar traced from source to outcome.
OpenAI
Anthropic
Azure
AWS
Snowflake
Databricks
MongoDB
Confluent
Cursor
RunrateOpenAIAnthropicAzureAWSSnowflakeDatabricksMongoDBConfluentCursorRunrateHow it works
Five steps from opaque to owned and earning.
Runrate connects every dollar of AI spend to the team that used it, the work it produced, the policy it must follow, and the return it generated.
- 01Production telemetry
Capture
One ledger across every AI cost source.
- 02Finance accurate
Reconcile
Invoice-level accuracy for every workflow dollar.
- 03Versioned & auditable
Allocate
Fair-share cost distribution with full audit trail.
- 04Pre-spend enforcement
Control
Budget guardrails that act before spend happens.
- 05Cost-to-serve, defended
Return
Unit economics for every workflow, audit-ready for the CFO.
Seamless integrations
One ledger. Every cost source.
Runrate connects to every layer of your AI stack — LLM providers, cloud and data platforms, and developer tools — to trace how every dollar is spent, owned, and returned. Read-only by default. Out of your request path.
OpenAIAnthropicAzureAWS
Google
Mistral
SageMakerSnowflakeDatabricksMongoDBConfluent
More integrations available in design partner builds — tell us about your stack.
What it's for
See, govern, defend, and return on every dollar of AI spend.
Runrate gives the same control over digital labor that ERP gave over headcount.
For private equity operating partners: the same four pillars, applied across portfolio companies. Talk to us.
Full-stack AI cost visibility
Every LLM, cloud, data, and tool dollar in one ledger — no integration project.
Cost per completed unit
What a resolved ticket, claim, or qualified lead truly costs, fully reconciled.
Shadow AI discovery
Every expensed and self-procured AI tool surfaced before it becomes a board issue.
Why Runrate
Nothing else is built for this.
FinOps tools were built for cloud infrastructure. Observability tools were built for debugging traces. Neither connects AI spend to what it returned. Runrate is built for the financial reality of AI in production.
| Capability | Runrate | Traditional FinOps | Agent Observability |
|---|---|---|---|
| Visibility | |||
| Multi-cloud + multi-LLM cost ingestion | |||
| Invoice reconciliation (credits & discounts) | — | ||
| Shadow IT and personal-card AI spend visibility | — | — | |
| Shared cost allocation rules | — | ||
| Automated variance narratives | — | — | |
| Control | |||
| Budget controls & pre-approvals | — | ||
| Chargeback by department | — | ||
| Immutable audit trail | — | ||
| Defensibility | |||
| Cost per outcome attribution | — | — | |
| Defensible cost-to-serve (board-ready) | — | — | |
| Margin per AI-product feature / SKU | — | ||
| Status-quo cost-to-serve comparison, inline | — | — | |
| Cross-portfolio rollup (for PE / multi-BU) | — | — | |
| Finance-native (not observability-native) | — |
FAQ