Finomics integrates natively across cloud AI platforms, frontier model providers, and enterprise productivity copilots — delivering a unified view of tokens, API spend, GPU utilization, and seat licenses from a single pane of glass.
AI costs are measured in tokens, requests, prompts, GPU seconds, and conversations — not just instances and storage. Finomics extends FinOps into the AI economy, transforming fragmented AI spending into measurable, attributable, optimizable business intelligence.
Token Economics integrates natively across cloud AI platforms, frontier model providers, and enterprise productivity copilots — delivering a unified view from a single pane of glass.
Full cost visibility across hyperscaler cloud infrastructure and services
Token-level cost governance and model invocation tracking across hyperscaler AI platforms
Token-level cost governance for the models powering your AI
Govern AI coding assistants, copilots, and agentic engineering spend
LLM tracing, prompt cost attribution, and token telemetry governance
Warehouse, lakehouse, and observability cost governance
CRM, workflow, and collaboration platform spend management
Container cost allocation, pod-level resource tracking, and multi-tenant namespace governance
Connect your entire SaaS ecosystem — from cloud infrastructure and DevOps to security, analytics, and business productivity tools.
Purpose-built capabilities that deliver visibility, control, and intelligence across your entire AI estate.
Track input & output tokens, per-request costs, and inference at the finest granularity across every provider.
Unify AWS Bedrock, Azure AI Foundry, GCP Vertex AI, OpenAI, Claude, Gemini, and productivity copilots in one view.
Predict future AI budgets, surface runaway workloads, and enforce quotas before costs escalate.
Allocate AI spend by team, project, application, department, customer, and license for full chargeback.
Map all AI spend with SSO, SCIM, SOC 2 Type II, and full auditability across every connector.
Streaming telemetry from billing APIs, metering endpoints, and usage logs — no batch delays.
We're constantly expanding our connector library. Talk to us about your specific stack and we'll build what you need.