Arzule Quantifies How Much Revenue Your Partners Actually Drive

The Macro: Everyone Talks About Partner Revenue, Nobody Can Measure It

Every B2B SaaS company has a partnerships team. These teams manage integrations, co-selling relationships, referral programs, and shared customer accounts. The problem is that nobody can prove what these partnerships are actually worth. When a deal closes, was it because of the sales team, the marketing campaign, or the partner referral? Usually, all three get credit. Nobody knows the real attribution.

This is a measurement problem that the industry has mostly given up on. Revenue attribution from direct channels like ads and outbound email is well-understood. Tools like Gong track sales conversations. Attribution platforms track marketing touchpoints. But partner-influenced revenue sits in a black box. Partnership teams report anecdotal wins and hope the CFO does not ask too many questions.

The consequence is that partnerships are chronically under-invested. If you cannot measure the ROI, you cannot justify the headcount. If you cannot justify the headcount, the partnerships team stays small. If the partnerships team stays small, the revenue impact stays invisible. It is a vicious cycle that keeps partner-driven growth from reaching its potential.

The Micro: Math Nerds Quantifying the Partner Graph

Jeffrey Lin and Nikhil Reddy founded Arzule. Jeffrey built multi-agent sports betting systems and studied Math and CS at NYU. Nikhil was a quantitative analyst with a Math, Econ, and CS background from UChicago. They are a two-person team from San Francisco, part of YC Winter 2026 with Harshita Arora.

The quantitative backgrounds are important here. Arzule uses probabilistic regression models and influence chains across an ecosystem graph to estimate how much revenue flows through partner relationships. It combines CRM deal outcomes with ecosystem signals like shared customers, integrations, partner referrals, and co-selling activity.

This is not simple attribution. It is a probabilistic model that weighs multiple signals to estimate the counterfactual impact of partnerships. “Would this deal have closed without the partner involvement?” is the question, and Arzule uses data to provide a probabilistic answer.

The Gong comparison in their tagline is apt. Gong made sales conversations measurable. Arzule wants to make partner relationships measurable. If they succeed, every B2B SaaS company with a partnerships program becomes a potential customer.

The Verdict

Arzule is solving a real measurement gap. The problem is well-known, the existing solutions are inadequate, and the founding team has the quantitative chops to build something credible. If the models produce results that partnership leaders can defend to their CFO, the product sells itself.

The risk is data quality. Probabilistic attribution models are only as good as the input data. If CRM data is messy, if partner touchpoints are not tracked, if co-selling activity is not logged, the model outputs will be unreliable. Arzule needs customers with relatively clean data to produce convincing results.

The competitive set includes Crossbeam and Reveal for partner data sharing, and PartnerStack for partner program management. But none of these do quantitative revenue attribution. Arzule is carving out a new category.

In 30 days, I want to see pilot results. Do partnership leaders believe the revenue estimates? In 60 days, the question is whether the numbers are influencing budget decisions. Are partnerships teams getting more resources because Arzule showed the ROI? In 90 days, I want to know about integration depth. The more CRM, product, and partner data Arzule ingests, the better the models get.