FDSFactSet Research Systems Inc.

“we have already captured over 50% of the 100 basis points of productivity improvements that we targeted for this year. And while we gave you examples of the early impact that we are seeing from the application of AI in engineering, in data operations, and customer success, I must say those are early days, and in fact, I see tremendous scope for growth of the AI-based opportunities.”

“The text-to-formula agent that we launched in October 2025 has fundamentally changed how we handle client inquiries. Our help desk experiences double-digit monthly growth in formula support requests. But the volumes handled by our client service representatives have now started to decline as the agent absorbs an increasingly large share of these inquiries each month.”

“AI coding assistance now author nearly one fifth of our successful code commits and free up a quarter of our engineers' capacity in those teams. This includes over 90% reduction in efforts spent on business-as-usual activities like software upgrades and patching.”

“our MCP Server that is built on a robust ecosystem of content APIs was launched in December and already has over 120 clients actively engaged. API call volume is steadily growing as well, with March volumes at three times the February level.”

“Some teams have radically reduced time to market for new product development by fully automating the delivery life cycle and collapsing a month-long cycle to one day.”

“This quarter, we have deployed four distinct AI tools across different parts of our data operations, generating 25%+ reduction in manual curation on average.”

“We have quadrupled classification capacity year over year while keeping costs flat, capturing scale economies in our business.”

“we have been able to reduce the cost of vectorizing client data by 80% while delivering faster and more accurate results.”

“Today, 48 of our top 50 clients are using at least three of our AI solutions, with several more in trials.”

“we have a strong partnership with Anthropic. We are one of the prominent financial services connect on the cloud marketplace. And I must say it is our fastest-growing marketing channel. I think of it as a marketing channel because the business model is very synergistic. We make gains when clients connect through Claude into our datasets, consume more and more of our data, and our contracting is directly with our clients.”

“our AI investments are working. We are, you know, we are doing well across these various layers of the AI stack, AI-ready data, the MCP Server, our agentic platforms, and our AI solutions that are infused inside the workstation, that, like we said, 48 of our top 50 clients use at least three of our AI solutions, and I expect that number to be quite a bit higher in future quarters.”

“some of the AI solutions that we see adoption involve are around prospecting. So we have some of our largest clients adopting our intelligent prospecting and monitoring solution that is something that drives new business for our clients. We are rolling out some of our AI solutions with two of our largest clients currently.”

“our open platform is perfect in this new environment as we are talking about AI, which is why AI is a tailwind for us. And that is why you are seeing double-digit growth in data across all the various firm types, whether it is banking or wealth or on the buy side.”

“we are also actively partnering with Anthropic, OpenAI, and other leading frontier labs to ensure that FactSet Research Systems Inc. datasets are readily available in their marketplaces to facilitate rapid development of new AI solutions.”

“partnerships with Snowflake and Databricks enable clients to seamlessly combine FactSet Research Systems Inc. data with their own sources and operate AI-driven workflows in the secure cloud environments they already use.”

“our MCP solution, which we launched just in December, again, to reiterate, has been our fastest-growing solution in the market.”

“those agents are going to need very, very high-quality inputs in order to be able to execute the job that we expect those agents to do at that point. I shared the example of the value-at-risk calculation, and that is one of those ways in which we think our data, our connected data, and the embedding that we have in these workflows just becomes exponentially more valuable in a world where agents are becoming the primary call on that data.”

“a key element of our strategy is to be a leading data and workflow infrastructure provider for AI-enabled institutional finance. What we are seeing so far is clear. As clients move AI into production, they are pulling FactSet Research Systems Inc. deeper into their operations, not replacing us.”

“Our newly announced partnership with Finster will accelerate our agentic platform for banking, meeting the growing demands of our dealmaker clients.”

“when it comes to AI solutions, the sales cycle is considerably faster. Clients are eager and enthusiastic to try out new solutions.”

“freeing up engineering capacity with AI, enabling us to accelerate new projects with existing talent.”

“AI is playing a dual role, enhancing client value through new capabilities while driving productivity gains.”