The Economics of AI, Made Visible.

The last two years have felt like a decade. AI has moved from proof-of-concept to production at a speed rarely seen in enterprise tech. Teams are shipping agentic workflows, enriching core products with AI features, and redefining what great customer experiences look like.

That acceleration is a gift, but without visibility, it quickly becomes a liability. The industry is building faster than it can measure. And what can’t be measured, can’t be managed.

Every technology wave starts with a rush to build, followed by a reckoning to manage. Cloud had FinOps. Data had governance and lineage. CI/CD pipelines had observability. AI is now crossing the same chasm.

As spend scales and feature sets expand, leaders are asking sharper questions:

• What did this AI decision cost us?
• Did it improve our product and make our customers happier?
• How do we ship AI confidently—on budget, with quality, and at speed?

Today we’re launching the new Revenium to answer those questions head-on.

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Economic Intelligence for AI

Innovation is thriving across Lang frameworks, tracing tools, and eval platforms. Revenium plugs into that ecosystem as the Economic Intelligence layer: the bridge between what happened and what it’s worth.

Observability serves engineering. Revenium serves the business.

• Tracing shows you what happened. Revenium reveals the cost, return, and ROI.
• Evals measure quality. Revenium correlates quality with costs and outcomes to deliver feature-level P&L.
• Lang frameworks orchestrate. Revenium manages economics: budgets, alerts, and margin guardrails at the workflow and feature level.

When AI calls become black boxes, optimization stops. Teams over-provision models, blow past context windows, and hope that Finance doesn’t notice. That is not a strategy.

Revenium changes that. We bring every cost, latency, and impact event into focus so engineering, product, and finance can align.

The result? full-stack economic visibility across your AI ecosystem.

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Measure. Optimize. Prove. Monetize.

• Measure: Consolidate usage across OpenAI, Anthropic, Gemini, Ollama, LiteLLM in minutes with our extensible middleware. Trace every token, API call, and agent event by team, product, feature, customer, or session.
• Optimize: Catch anomalies in real-time, right-size prompts, route workloads smartly, and reduce AI costs by 30–50%.
• Prove: Tie usage to KPI outcomes—margin, case resolution time, cash conversion cycle—and show feature-level P&L for AI based products and outcomes.
• Monetize: Turn insight into action: price confidently, enforce budgets, and unlock new revenue streams with AI-enhanced products.

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Why Now?

AI adoption is unlike anything we’ve seen. Costs aren’t falling, but complexity is multiplying. Users demand more capable (and more expensive) models, and every new capability drives exponential consumption.

Every “simple” API call is now a chain of models, tools, and transactions that each add to spend and opacity.

Those surprise bills you’re getting aren’t the problem; they’re the symptom. The real issue is missing telemetry.

Revenium is your system of record for AI economics—like transaction tracing, with Economic Intelligence on top:

• Multi-agent trace view: Every step, tool call, and downstream cost—auditable, comparable, and traceable across workflows.
• Provider consolidation: Unify OpenAI, Anthropic, Gemini, and beyond into a single spend, performance, and efficiency dashboard.
• Budget intelligence: Real-time spend vs. budget tracking with proactive alerts for developers and execs—before overruns reach the spreadsheet.
• Developer ergonomics: Install in minutes. Our middleware and VS Code helper automatically identifies AI call sites and trace usage with zero friction.

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Built to Fit Your Stack

Keep your Langs, evals, and tracing platforms. Revenium builds on what you already have. We’re additive, not competitive.

• Ingest or emit traces. Revenium attaches cost attribution to every step, no matter where it originates.
• Pair with evals. Tie quality scores directly to dollars and make tradeoffs explicit.
• Integrate seamlessly. Feed economic insights into your observability stack, data warehouse, or billing systems.

Revenium delivers practical outcomes, not vanity dashboards, turning your existing telemetry into economics you can rely on.

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What Changes When You Can See Clearly

• You cut wasted tokens and right-size context windows.
• You route to the right model for each step, not just by app.
• You replace cost surprises with cost intentions—guardrails instead of guesswork.
• You connect spend to value—Feature by feature, customer by customer.

Our promise is simple: If it doesn’t help you ship with confidence, we don’t ship it.

Engineers gain fast feedback loops. They trace outliers, shrink prompts, select better models, and keep latency predictable, improving efficiency and margin at every iteration.

Product managers see feature-level P&L. They understand capability costs, returns, and ROI trends, turning AI performance data into actionable economic insight.

Finance teams get control and predictability. Revenium aligns spend with revenue, margin, and growth goals through budgets, alerts, and audit-ready attribution.

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Ship With Confidence

Cloud transformed how we build. FinOps transformed how we run. Now, AI is transforming how we decide.

Revenium is how we run it well.

If you’re building AI products or operating agentic systems, now’s the time to establish the visibility and discipline that will carry you through the next wave. Your future self, and your CFO, will thank you.

Explore the new site. See the dashboard. Trace a real workflow.

Because if you can’t trace it, you can’t tune it. And if you can’t price it, you can’t scale it.

Revenium. The Economics of AI, Made Visible.

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John Rowell, CEO of Revenium