Revenium

Connect Claude Code, Cursor, and Copilot org-wide in under ten minutes. Cost per developer, cost per PR, and runaway detection — no per-developer installs.

Revenium’s system traces tokens, API calls, and agent actions to enforce economic boundaries and protect margins.

The Revenium MCP Server connects AI agents like Claude to a Revenium account for tracking costs and setting alerts.

The company provides guides on AI agents, observability, FinOps for AI, and agent monitoring to track costs, control spending, and prove ROI.

Revenium hosts live and on-demand webinars on tracking AI costs, controlling agent spending, and proving AI program ROI.

Definitions of the terms behind AI cost tracking, agent spend control and AI ROI, from Revenium, the AI Economic Control System.

Reports, eBooks and whitepapers from Revenium on attributing AI spend to the agent, feature and customer, controlling agent costs and proving AI ROI.

Revenium and Dymium partner to bring AI economic control and inference-time data security together so enterprises can scale agentic AI safely.

Revenium shares news and updates on AI agent economics, cost visibility, and outcome-based ROI, including launches and partnerships.

Revenium closes a $13.5 million seed round to build the AI Economic Control System, the runtime layer that governs AI cost, agents, and outcomes.

Simple, transaction-based pricing for AI cost attribution and economic control. Free to observe, custom to optimize, custom for enterprise governance.

The page explains how Revenium enables governable, attributable, and profitable AI through its AI Economic Control system.

The company describes how its AI Economic Control System helps engineering and finance teams govern AI spend, enforce guardrails, and prove ROI.

Revenium is the AI Economic Control System that provides transaction-level attribution and real-time economic control across tokens, APIs, and agentic workflows.

Revenium meters usage metadata, not payloads. Compliance artifacts, encryption, data handling, subprocessors and platform controls are documented below.

GitHubRepository owner

Revenium introduces a partner program to onboard vendors like Insight, Flexera, and WWT, enabling managed service providers (MSPs), systems integrators, and resellers to develop AI cost optimization services. The initiative expands the company’s reach in cloud and AI spend management solutions for enterprise customers. Partners integrate Revenium’s tools into their offerings to address rising AI infrastructure costs.

Oct 2026Channel InsiderNews article

Revenium introduces **AI Insights** in its **AI Economic Control System**, detecting and quantifying wasted AI spend. The tool ranks optimization suggestions by estimated monthly savings, targeting budget recovery for enterprises.

Jun 2026The New StackNews article

Revenium introduces a **Tool Registry** that helps organizations log and monitor all cost components—such as external APIs and SaaS platforms—in AI workflows. The platform aims to provide transparency into the full financial impact of deploying AI agents. The registry supports tracking both direct and indirect expenses tied to AI tooling.

Mar 2026InfoQNews article