Your teams stand up the agents, wire the assistants and ship the AI-native applications. Which means you’re in the room when the CFO asks what all of it produced. Revenium gives you the evidence to answer, and a practice to build around the answer.
of enterprise AI spend runs through engineering, where your delivery teams already sit
can burn in a week from one mis-configured key, with nothing in the invoice to explain it
to connect an entire organization, one admin configuration, no per-developer install
You can run in more than one at the same time, and plenty do. An integrator that refers one account often resells into the next and embeds the platform in a third.
Revenium becomes the economic layer inside the services you already run, under your brand and your SLAs.
Revenium reaches customers who need to buy through you, and your resellers get into AI conversations earlier.
Revenium puts cost, attribution, and ROI where your customers already work, without you building a metering and attribution engine.
Connect your own providers and assistants, and find out what your own AI habit costs. Every partner does this before their first customer conversation. You sell this from your own numbers or you don’t sell it credibly.
you have trusted relationships and want to monetize introductions without taking on delivery or support.
a customer needs to buy through you.
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you want one platform for your own AI cost control and a repeatable service across your customer base.
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AI economic visibility makes your product measurably better for your customers.
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your customers will pay for AI attribution as a capability separate from your core product.
Your tier on any given deal follows the delivery obligations you take on for that deal.
A boutique consultancy and a global integrator on identical footing.
One person accountable for your pipeline and your escalations.
Your own environment, loaded with synthetic data that behaves like a real customer’s AI spend. Your sellers demo in week one, without waiting on anybody’s security review.
Overview deck, pitch video, product one-pager, battlecards, discovery questions and the industry report, ready to put your logo on.
Templated partner-led services with scope, duration and outcomes already written.
Run the same proof-of-value methodology Revenium uses with enterprise customers.
Register at partners@revenium.ai and get a written answer, so you know where you stand before you spend the cycles.
Nothing to apply, and nothing to hold referral or reseller status. Partners who want a Channel Edition of the platform, with unlimited tenants and teams for serving many downstream customers, hold a commercial agreement for it. We’ll tell you which applies on the first call.
The audit takes 48 hours and you can run it on your own stack this week. Enablement for your sellers and engineers takes days, because there’s no per-developer install and no infrastructure to stand up.
It depends on the track. On a referral, Revenium contracts with the customer and you earn on the introduction. On a reseller or managed engagement, you hold the paper and you set the price. The account is yours. We support the product underneath you either way.
Register the opportunity and we’ll respond in writing. An approved registration makes you partner of record for that opportunity and use case, and while it is valid Revenium will not sell direct or through another partner into it.
Coding assistants including Claude Code, Cursor and Copilot, the major model providers, AI gateways, and any instrumented application through our SDKs, APIs and OpenTelemetry ingest. Cost, usage and outcomes are attributed to the customer, feature, agent and workflow that triggered them, with FOCUS v1.0 export into the FinOps tooling your customer already runs.
No. Cloud cost tooling allocates infrastructure from provider invoices after the fact. Revenium meters AI spend at the call, against a different budget, for a different buyer.
That difference is what makes the two additive. Your cloud practice is funded from infrastructure budget and sold to a platform or cloud team. AI economic control is funded from the AI transformation budget and reaches engineering leadership first, with finance arriving once there are numbers to argue about. Most of our services partners carry both, and they open the AI conversation inside accounts where the cloud engagement is already running. That’s the cheapest new practice you’ll ever stand up, because the relationship is already paid for.
What does conflict is positioning the two as the same thing. A customer who hears “this is the cloud cost tool for AI” routes it to the team that already owns cloud cost, against a budget that was set last year. It stops there. Sell it as a second practice with its own buyer and its own budget line, and it moves.