EFXEquifax Inc.

“We also expect to deliver strong full year margin expansion, excluding FICO of 75 basis points from operating leverage of strong top line growth, higher margin new products and AI-driven productivity.”

“Our cloud-native technology and EFX.AI capabilities have accelerated our innovation cycle over the past 5 years since we moved to the cloud. Last year, over 90% of our products were built on our new global cloud-based platforms. With more efficient cloud-native technology, leveraging global platforms and EFX.AI, we have quadrupled the number of products in our innovation funnel and reduced product development life cycles by half resulting in a record level of new products launched in 2025, which is up 2x over historic levels. 100% of our new models and scores in 2025 were built using EfX.AI.”

“100% of our scores last year were using our AI capabilities, and that means higher performance. Our products now are increasingly using AI and we talked about some of our platforms that are having conversational AI, so our customers can use them more readily inside of their operations.”

“Workforce Solutions EBITDA margins of 52.3% were very strong and up 200 basis points versus last year from operating leverage from higher revenue growth and AI-driven productivity, while continuing to invest in new products, government and record additions.”

“In the first quarter, our Vitality Index of 17% was at record levels and reflects the focused execution of our teams in driving customer-focused growth through accelerated innovation based on advanced EFX.AI, leveraging our proprietary data assets.”

“we added over 40 EFX.AI-based patents in 2025 and 10 more AI-based patents in the first quarter for a total of 400 pending or granted AI-based patents as we continue to invest in differentiated explainable AI capabilities at Equifax.”

“The strong EBITDA margins were driven by strong operating leverage, mortgage flow-through and AI-driven cost productivity.”

“And last, we're seeing higher performing products with year 3 NPI revenue up about 70% in '25 over historical levels.”

“We think it's pretty hard because, as you know, that's all proprietary data. You're talking about income and employment data is proprietary in our data set, and it's all permissioned by permissible purpose because of the Fair Credit Reporting Act solution. And then the contributors, we have almost 5 million companies now contributing data to us every pay period, it's proprietary in their data set or with their payroll process or HR software company. So it has to be consumer permission. There's a lot of friction with that. I don't -- we don't see how AI can really facilitate that consumer permissioning to access that data because the data is not available anywhere in the worldwide web.”

“On the AI side, it's kind of early days. We're only months into this as far as deploying it. And I think as we get further into it, we see some of the further benefits in operations, which think about that as our call centers and operation centers, which are quite substantial. As I mentioned earlier, as we start getting into the technology side and our ability to use to really accelerate our coding capabilities, which we're seeing some early progress there. I think as that unfolds and then across the rest of the organization, we see some of the benefits, we'll certainly, at the right time, take a look at our long-term margin goal.”

“90% of Equifax revenue is generated from proprietary data sources, including our income and employment exchanges in the U.S. U.K., Canada, Australia, our U.S. and international consumer and commercial credit exchanges and our alternative data sets, including our NCTUE, telco and utility exchange in the U.S. This proprietary data has contributed to Equifax and its uses managed by Equifax and is subject to significant regulatory and privacy controls. To be clear, the data is not available on the web and only Equifax can access this data.”

“we're really getting some traction, and I would characterize it as still early days, meaning the runway we have around deploying AI across our operations inside of Equifax. We call it AI for EFX operations, think about call centers and our paper processing centers is kind of the first frontier there. We're making a bunch of progress of using agents to start taking calls from consumers using agents in AI to process hundreds of thousands of paper documents we get every month from consumers here in the United States and around the world.”

“Then we see productivity opportunities going forward in technology where we have a large workforce. We're seeing real momentum around using some of the AI tools to do coding which we're very energized about is the opportunity of that going forward. And then broadly, in our kind of support teams, whether it's finance, HR, legal, all of the support teams are deploying AI to increase their efficiencies.”

“Recently, we launched Ignite AI adviser for auto, an AI platform that provides lenders with instant plain English analytics, benchmarking and automated insights alongside conversational agents for deeper exploration by our customers. We expect to launch similar solutions in cards and personal loan portfolios this year while integrating advanced synthetic and credit abuse fraud detection.”

“Ignite AI Advisor is to allow smaller customers to ingest more of our data by seeing the value in the scores and the lift they get by using not just credit data but also alternative data and other data sources. So that's what it's intended to do. We are very excited about the fact that it's going to drive more data sales, but it isn't a licensing play.”

“As EFX.AI advances, we'll leverage our new global cloud infrastructure, combined with our [ agentic ] AI and Google Vertex AI capabilities and proprietary data to deliver higher-performing analytical solutions at an accelerating pace, positioning these advanced analytical solutions for more customers.”

“We are using our single data fabric, EFX.AI and Ignite, our analytics platform to develop new credit solutions powered by TWN indicators in verticals like mortgage, auto, card and P loan that only Equifax could provide, which is leading to share gains and incremental growth.”

“Our new products such as continuous evaluation for SNAP built using EFX.AI that we launched in the first quarter have already delivered strong results for a few states by identifying errors within their beneficiary population.”

“What AI is allowing us to do, and again, Equifax has more alternative data than our competitors, which we think is an advantage for Equifax in an AI world, because it allows you to really ingest that differentiated and additional data that's going to drive a more predictive or higher-performing solution for either underwriting or identity or whatever the process is.”

“I would expect kind of AI-driven productivity to be a multiyear lever for Equifax going forward. And I think it is going to be for all companies. We all read about it, but it's really real. And the acceleration tools. We're using things today that we weren't using 6, 9, 12 months ago inside of Equifax to drive our speed, efficiencies and accuracy.”

“The team also continued to execute very well against our EFX2028 strategic priorities in the quarter by leveraging EFX.AI-based solutions built on our cloud-native infrastructure to drive innovation, new products and growth.”

“The application of advanced EFX.AI-based and traditional IT-based analytical techniques allows us and our customers to rapidly develop new solutions that are built off our only Equifax proprietary data.”