Partner Signals Data™

Data that doesn't exist anywhere else.

Partner decisions need organizational truth. That data doesn't live in Apollo, Crunchbase, or Clay.

Partner Signals Data™ is one of three parts of The Agentic Partner OS.

It's all publicly available. We're the first to put it in one place.

Paai Partner Signals Data™

Partner Signals Data™ is Paai's proprietary dataset of 500K+ companies and 5M+ signals. It is the evidence layer behind partner goal attainment, separating signals that predict results from activity noise.

What's in the graph

Companies

500K+

B2B tech companies worldwide. A full catalog of what each one specializes in: products, services, and use cases, not just an industry tag.

Signals

5M+

Partner success signals. The structured data behind real partner motions, not assumptions about what should work.

Partners

Cross-validated

A graph of who's a partner with who, cross-validated through partner directories and ecosystem listings, not a scrape of a single site.

Customers

Documented

Detailed customer case studies: who a company sold to, what problem it solved, the tech used, and the solution delivered. Tied to real, publicly documented customers, not an assumed ICP.

Plus 50+ more data points per company, including APIs, competitors, locations, and certifications.

Why this matters

Every one of these data points already exists somewhere on the public internet. No one had collected it, structured it, and connected it into one graph built specifically for partner decisions, until now.

This is what the agents work from. Not the open internet. Not a guess.

Public, but scattered

Company sitesPartner directoriesPress releasesCase studiesMarketplacesJob postsConference listsCertifications

Disconnected sources. No shared structure. No way to reason across them.

One connected graph

Collected, structured, and connected for partner decisions.

What makes this different

Partner Signals Data™ is a proprietary dataset that aggregates behavioral, firmographic, and performance signals across partner ecosystems, then structures them to measure whether a partner program is hitting its actual business goals, not just whether partners are logging in or registering deals. It is the data layer that powers Paai's partner goal attainment scoring, turning partner motion into measurable business outcomes.

Traditional PRM platforms are built to track activity: logins, deal registrations, training completions, content downloads. Partner Signals Data measures goal attainment, whether the program is delivering real revenue, pipeline, and ecosystem targets. The distinction is outcome versus activity, and it changes what partner teams are held accountable for.

Paai is built for B2B tech companies, with or without a partner team, that need to grow through partners. And Partner Signals Data™ is the current, unified name for what this site previously called the Partner Knowledge Graph, Ecosystem Knowledge Graph, and Partner Ecosystem Knowledge Graph. Same underlying data and methodology, one name now.

Partner Signals Data™ also surfaces partners who are active but not moving the needle: still logging in, still submitting deals, but not contributing to the outcomes the program actually needs. That gap shows up early enough for a team to step in with enablement or rework the relationship, instead of finding out at renewal time.

The same dataset feeds Paai's discovery engine directly. Instead of recommending partners who simply look similar on paper, Paai scores prospective partners against the attainment patterns of the partners already producing results, so discovery surfaces who is likely to perform, not just who resembles a good fit.