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DATE

Wednesday, Sept. 9, 2026 at 5:00 p.m. ET

CALL PARTICIPANTS

• Investor Relations - John Beisler
• Chairman and Chief Executive Officer - Roy W. Olivier
• Chief Financial Officer - Dave Kutil
• Chief Strategy Officer - Josh Nicholson

TAKEAWAYS

• Total Revenue -- $12.1 million for the fourth quarter, representing a 2.9% decline as higher platform revenue was offset by lower transaction volume.
• Full-Year Revenue -- $48.3 million for fiscal 2026, compared to $49.1 million in fiscal 2025.
• Annual Recurring Revenue -- $22.5 million at fiscal year-end, representing 7.8% year-over-year growth driven by B2B platform expansion.
• B2B Platform ARR -- $16.2 million at year-end, increasing 14.1% year over year through new logo generation and existing customer upsells.
• AI-Related ARR -- $800,000 at the end of the fourth quarter, growing 125% sequentially from the third quarter of fiscal 2026.
• Platform Subscription Revenue -- $20.8 million for the full year, a 9.8% increase reflecting organic growth in core B2B offerings and the impact of 105 net new deployments.
• Transaction Revenue -- $27.5 million for fiscal 2026, an 8.7% decline resulting from lower volumes from large customers and platform-related shifts.
• Quarterly Gross Margin -- 53% in the fourth quarter, a record high for the company and a 200 basis point improvement over the prior year quarter.
• Full-Year Gross Margin -- 51.9%, an improvement of 260 basis points versus fiscal 2025 driven by the revenue mix shift toward the platform business.
• Net Income -- $2.8 million or $0.09 per diluted share for the full year, more than double the $1.3 million or $0.04 per diluted share reported in fiscal 2025.
• Adjusted EBITDA -- $5.8 million for fiscal 2026, a company record and an increase from $5.3 million in the prior year.
• Average Sales Price -- $12,698 per deployment, growing 4.7% year over year due to structured sales processes and upselling.
• B2C ARR -- $6.3 million at year-end, reflecting a 5.6% decline in a competitive market for individual researchers.
• Cash and Cash Equivalents -- $12.6 million as of June 30, 2026, with zero outstanding debt and no borrowings on the revolving line of credit.
• Operating Cash Flow -- $5.3 million for the full year, compared to $7 million in fiscal 2025, with the decrease attributed to the timing of working capital payments.
• Platform Gross Margin -- 87.3% for the fourth quarter, compared to 88.5% in the prior year quarter, remaining within the target range of the mid-80% level.
• Software Development Productivity -- 200 software updates performed in June 2026, a fourfold increase from the 50 updates per month reported in the third quarter of fiscal 2025.
• AI Scholarly Usage -- 18 million reads through AI agent connectors since their launch in Feb. 2026, with AI agent calls surpassing manual queries in June.
• Total Operating Expenses -- $21.5 million for the full year, a decrease from $21.7 million in fiscal 2025 as lower administrative costs offset higher R&D and sales spending.
• Transaction Customer Count -- 1,323 active customers in the fourth quarter, compared to 1,338 in the same period last year.

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RISKS

• Olivier stated, "I expect B2C to continue to be a challenging environment as increased competition chases the same individual researcher," predicting flat performance for this segment in fiscal 2027.
• Olivier warned of "continued headwinds on transactions or DocDel sales resulting in a low single-digit year-over-year decline," noting this figure is below the historical five-year CAGR of 1%.

SUMMARY

Research Solutions, Inc. (RSSS -0.47%) reported a year of significant profitability growth despite a minor contraction in total revenue, as record adjusted EBITDA and net income were driven by a shift toward high-margin platform subscriptions. Management indicated that platform revenue now constitutes 43% of the total revenue mix, up from 39% in the prior year. The company introduced several AI-integrated products, including connectors that allow proprietary scientific data to be accessed directly within third-party large language models like ChatGPT and Claude. Management stated that the company reorganized approximately 50% of its sales force during the year to focus on a more structured process targeting larger enterprise deals and higher average sales prices. The company reported a strong liquidity position and indicated that it is evaluating strategic options to enhance shareholder value, including potential acquisitions and stock buybacks.

• Chief Strategy Officer Nicholson reported that AI agents are fundamentally reshaping research consumption, noting that approximately 43% of content requested by AI agents resides behind paywalls.
• The company launched a publisher AI gateway that currently indexes 40 publishers, providing a mechanism for content discovery within AI environments while protecting paywalled text.
• Nicholson noted the effectiveness of the Multi-language Model Connector (MCP) as an expansion tool, stating, "adding agentic access roughly doubled the contract" on average for existing Scite customers.
• Management implemented new customer health monitoring tools in early fiscal 2026, which contributed to an observed improvement in renewal rates during the fourth quarter.
• Chief Strategy Officer Nicholson stated that the company has classified over 1.6 billion citation statements from the full text of scientific literature to support its AI verification tools.
• CEO Olivier stated that while the company is evaluating acquisitions to accelerate growth, "we do not have anything lined up in the short term."

INDUSTRY GLOSSARY

• ARR: Annual Recurring Revenue, the value of contracted platform subscription revenue normalized to a one-year period.
• DocDel: Document delivery, the process of providing researchers with full-text copies of individual scientific or technical articles.
• LLM: Large Language Model, an AI system trained on vast amounts of text data to understand and generate human-like language.
• MCP: Multi-language Model Connector, a proprietary Research Solutions tool that integrates its databases with AI models like ChatGPT and Copilot.
• Paywall: A digital barrier that prevents users from accessing webpage content without a paid subscription.
• STM: Scientific, technical, and medical content, the primary focus of the company's research database.

Full Conference Call Transcript

Operator: Good afternoon, everyone, and thank you for participating in today's conference call to discuss Research Solutions financial and operating results for its fiscal fourth quarter and full year ended June 30, 2026. As a reminder, this conference is being recorded. I would like to now turn the conference over to your host, John Beisler, Investor Relations.

John Beisler: Thank you, operator. Good afternoon, everyone, and welcome to the Research Solutions Fourth Quarter and Full Fiscal Year 2026 Earnings Call. On the call today are Roy W. Olivier, Chairman and Chief Executive Officer; Dave Kutil, Chief Financial Officer; and Josh Nicholson, Chief Strategy Officer. After the market closed this afternoon, the company issued a press release announcing its results for the fourth quarter of full year fiscal 2026. The release is available on the company's website at researchsolutions.com. Before management begins their prepared remarks, I would like to remind you that some of the statements made today will be forward-looking and are made under the Private Securities Litigation Reform Act of 1995.

Actual results may differ materially from those expressed or implied due to a variety of factors. We refer you to Research Solutions' recent filings with the SEC for a more detailed discussion of the risks that could impact today's -- that could impact the company's future operating results and financial condition. Also on today's call, management will reference certain non-GAAP financial measures, which we believe provide useful information for investors. A reconciliation of those measures to GAAP measures is included in the earnings press release issued this afternoon. Finally, I would like to remind everyone that this call will be recorded and made available for replay via a link on the company's website.

I would now like to turn the call over to Roy W. Olivier. Roy?

Roy Olivier: Thank you, John. It was a busy year at Research Solutions in all respects. The corporate and academic sales teams did a nice job growing year-over-year while upgrading our sales process and sales team. We turned over almost 50% of our sales team during the year and have expanded sales head count going into FY '27. We continue to transition to a more structured sales process that has resulted in closing larger deals than we have in the past, raised our average sales price or ASP on both products and resulted in 105 net new deployments for the year.

While the new sales teams are doing well, and we feel very good about that continuing in FY '27, the upsell and renewal teams continue to need focus. We appointed a new leader to run that team, strengthen and expanded the team and realigned the structure around customer size and location. We also implemented a tool to do a better job measuring customer health and kicking off automated and manual workflows based on those results. For example, we can kick off an engagement workflow to a specific cohort of users who have not used the software or used what we know are high-value features.

We started all this in early FY '26 and saw a nice improvement in renewal rates in Q4 of FY '26. We expect this more to positively impact net ARR growth as we go into and through FY '27. We did report a 14% B2B ARR growth during the year, raising our high gross margin platform revenue from 39% of total revenue last year to over 43% this year, which translated into another year of positive results in terms of operating income, net income, EBITDA and cash flow.

In addition to increased spend in sales, we made some additional investments in product development and software engineering, which helped us release 2 new key AI products in addition to increasing development velocity on our core Scite and Article Galaxy products. In addition, we made several internal changes to improve productivity and output, including using AI to help us write and test code. All these improvements drove a large increase in development productivity. In fact, in the third quarter of FY '25, we were doing about 50 software updates a month. In June of '26, we did 200, a 4x improvement.

Most importantly, we released 2 AI products that extend the unique capability of Scite and Article Galaxy to be accessible in ChatGPT, Claude or Copilot. This is part of our intent to "be where the researchers are working," and those products have been well received by our customers. As noted in our press release, we did about $800,000 in AI-related bookings in Q4, and we have built a strong pipeline of interest in those products that we expect we'll close in FY '27. I think much of what we did in FY '27 will set us up nicely to grow the business profitably in FY '27.

I'd like to pass the call over to Dave to walk you through the fiscal fourth quarter and full year FY '26 financial results in detail. And then I'll discuss our goals in FY '27 and wrap up with some comments and the outlook for the year ahead. Dave?

Dave Kutil: Thank you, Roy, and good afternoon, everyone. I'll start my comments with a recap of our fourth quarter, followed by a summary of fiscal 2026 results. Total revenue for the fourth quarter of fiscal 2026 was $12.1 million compared to $12.4 million in the fourth quarter of fiscal 2025, as increased platform revenue was more than offset by a decrease in transaction revenue. Our platform subscription revenue was $5.3 million compared to $5.2 million in the prior year quarter. The growth was driven by an increase in B2B platform ARR due to a mix of new logo generation and upsells and cross-sells into our existing customer base, partially offset by a decline in B2C ARR.

We added 29 net new platform deployments in the quarter, bringing total deployments to 1,276 at year-end. We ended the quarter with $22.5 million in annual recurring revenue, up 7.8% year-over-year, which breaks down as approximately $16.2 million in B2B ARR and approximately $6.3 million in normalized ARR associated with sites B2C subscribers. B2B ARR grew $2 million or 14.1% versus the year ago period and included AI-related ARR of $800,000, which grew 125% sequentially from the third quarter of fiscal '26. Please see today's press release for how we define and use annual recurring revenue and other non-GAAP terms.

Transaction revenue for the fourth quarter was approximately $6.8 million compared to $7.3 million in the prior year quarter, a decline of approximately 6.7%. That result represents a meaningful improvement from the 11% year-over-year decline we reported in the third quarter and is consistent with the stabilization trend we discussed on last quarter's call. Our total active customer count for the quarter was 1,323 compared to 1,338 in the same period a year ago. Gross margin for the fourth quarter was 53%, a 200 basis point improvement over the fourth quarter of 2025 and a new quarterly record for the company.

The increase was due to the ongoing revenue mix shift towards our higher-margin platforms business which now represents 43% of our total revenue. The Platform business recorded gross margin of 87.3% compared to an all-time high of 88.5% in the prior year quarter, but still well within our target range of mid-80% gross margin. Gross margin in our Transactions business was 26% compared to 24.1% in our prior year quarter. The increase was primarily attributable to improved margins on our copyright content, reflecting favorable publisher mix and pricing partially offset by lower service fee margins.

Total operating expenses in the quarter were $5.6 million compared to $5.1 million in the prior year quarter, as increased sales and marketing expenses and upfront investments in AI were partially offset by lower general and administrative costs compared to the fourth quarter of fiscal 2025. Other expense for the quarter was $135,000 compared to income of $1.2 million in the prior year quarter. The prior year result was primarily attributable to a favorable adjustments, the final earn-out determination for sites in the fourth quarter of fiscal 2025. As a reminder, as of August 2, we have completed 5 quarters of earn-out payments with 3 additional payments remaining in fiscal 2027.

Net income for the quarter was $666,000 or $0.02 per diluted share compared to $2.4 million or $0.09 per diluted share in the prior year quarter. Adjusted EBITDA for the quarter was $1.4 million compared to $1.6 million for the fourth quarter of last year. Now let me turn to the full year fiscal 2026 results. Total revenue for fiscal 2026 was approximately $48.3 million compared to $49.1 million in fiscal 2025. Platform subscription revenue increased roughly 10% to $20.8 million. Total deployments at year-end were 1,276 and net increase of 105 the deployments from the end of fiscal 2025, and our average sales price increased 4.7% due to the upselling efforts mentioned earlier.

From an ARR perspective, we added approximately $2 million of net B2B ARR during the fiscal year, while normalized B2C ARR declined by approximately $380,000 for the full year. Transaction revenue for fiscal 2026 was $27.5 million compared to $30.1 million in the prior year, a decline of approximately 8.7% as transaction purchases for new customers were more than offset by lower volumes from a small number of large customers and the transactions-related benefits offered within our Platform subscriptions. As I noted earlier, the year-over-year trend improved as we exited the fiscal year. Gross margin for fiscal 2026 was 51.9%, a 260 basis point improvement over fiscal '25.

The increase is primarily related to our continued revenue shift towards our higher-margin Platform business and it drove a 3.6% increase in gross profit dollars to $25.1 million despite the lower revenue base. Total operating expenses in fiscal 2026 were $21.5 million compared to $21.7 million in the prior year. Lower general and administrative and stock compensation expense were partially offset by higher sales and marketing expenses and product development costs. Other expense for the year was $724,000 and $1.2 million in fiscal 2025. Last year included $1.7 million to reflect the adjustments made to the Scite earn-out finalization.

Net income for fiscal 2026 was $2.8 million or $0.08 per diluted share compared to $1.3 million or $0.04 per diluted share in the prior year. Adjusted EBITDA for the year was $5.8 million compared to $5.3 million in fiscal 2025. Turning to cash flow. Cash flow from operations for the fourth quarter was approximately $1.8 million compared to $2.3 million in the prior year quarter. For the full year, we generated approximately $5.3 million in cash flow from operations compared to approximately $7 million in fiscal 2025.

As we discussed on last quarter's call, the year-over-year decline primarily reflects the timing of working capital payments rather than a change in the underlying earnings power of the business or the collectibility of our receivables. Turning to our balance sheet. Cash and cash equivalents as of June 30, 2026, were $12.6 million compared to $12.2 million on June 30, 2025. The end of the fiscal year with a higher cash balance than a year ago, even after funding 4 quarters of Scite earn-out payments, consistent with the expectations that we laid out on last year's fourth quarter call. There were no outstanding borrowings under our revolving line of credit.

And with a growing cash position and no debt, our current balance sheet provides the flexibility to complete the remaining Scite earn-out payments in fiscal 2027, while remaining opportunistic in regard to strategic alternatives. As we look forward to fiscal 2027, we expect continued Platform subscription growth, improving retention and further stabilization in our transactions business. Paired with disciplined expense management, we believe that we are also positioned to deliver another year of adjusted EBITDA growth and strong cash generation. I'll now turn the call over to Josh to talk about our products. Josh?

Josh Nicholson: Yes. Thanks, Dave, and hello, everyone. I missed the last call as my wife and I welcomed our daughter to the world, really 1 of the best things ever, but I'm happy to be back with you guys today. So today, I want to cover 3 things. What is AI actually doing to our business, what we shipped in response and why we think we are on the right side of the shift. First, the impact of AI on the business, because I know it continues to be the question on everyone's mind and the question we get a lot.

Our answer is that AI is already reshaping how research gets read, and we can see it directly in our own data. Since we launched the Article Galaxy and Scite MCP connectors in February, AI agents have performed more than 16 million scholarly reads through Scite. Two details in that data matter for how you think about research solutions: One, in June, 4 months after launch; two, calls from AI agents overtook the number of queries in our own Scite assistant interface. Usage didn't shrink, it moved. Researchers are still asking the same questions.

They're increasingly asking them inside Claude, ChatGPT and Copilot instead of inside a browser tab and more corporate and academic customers are taking licenses with these tools. Our job is to recognize our differentiators, leverage them and be where the users are and where we are. Scite and Article Galaxy connectors are in the official connector directories of all 3 of these platforms. Copilot, ChatGPT and Claude. Article Galaxy is the only DocDel tool with a connector that integrates directly into LLMs. Scite is 1 of the very few scientific article search connectors, and it adds capability that platforms themselves do not have and other search tools do not have either.

I can tell you whether a claim has been supported or contradicted by later research because we have classified over 1.6 billion citations statements from the full text of the literature. It can also search inside Paywalled full text through our publisher agreement. The second point roughly 43% of what AI agents reach for sits behind a Paywall, that is the unique value that AI and research solutions can deliver together. An agent finds a paper in Scite and about 4 times in 10, it cannot read the full text. Article Galaxy is a compliant rights cleared way to get it. 20 years of publisher relationships and right settlement do not get disrupted by a language model.

It becomes the thing that the language model needs. So the honest answer on AI is this. Legacy per article volume is under pressure, and Dave walked you through the transaction numbers, but the same force that pressures document delivery is creating demand for verified search, verification and rights cleared access, and that demand is landing on our recurring platform business. Second, I want to talk about what we shipped. In fiscal 2026, we put 3 major things into production. The Gateway, MCP access to Scite and Article Galaxy with admin controls, purchasing and ordering and coverage that now extends beyond papers to patent grant clinical trials and drug and device data.

The Meter, metered billing on agent usage, Pro and Teams plans on Scite and pooled usage across an organization. So that the agentic access is something we price for rather than give away. Today, roughly 3/4 of MCP usage comes from paid plans, not free ones. And then self-serve and API console launched in August, so a developer or a pharma data science team or an agent can get started ASAP. Third, why is this working commercially? MCP is behaving as an expansion engine. MCP deals that we closed this year were almost entirely upsells to existing Scite customers, and on average, adding agentic access roughly doubled the contract.

The first article Galaxy MCP deals landed as new logos, a large pipeline Roy continues to grow and the mix is shifting towards larger corporate deals. That shows up in deal size. The average value of new opportunities we create each quarter has nearly doubled over the past 2 years, with the sharpest step-up in the 2 quarters since the MCP launch. It also shows up in retention. Customers who adopt MCP retain at far higher rates than those who do not. The part of the retention fix and the AI strategy are the same work, get customers using agentic access early and they stay. The last piece is the supply side.

We launched a publisher MCP Gateway that makes a publisher's content discoverable to AI agents while keeping Paywalled full text protected and that gives the publisher a clean read on what AI demand for their catalog looks like. Around 40 publishers are indexed and the first 2 Gateway agreements are signed. Every publisher that joins makes the corporate product more valuable, and every corporate customer makes the Gateway more valuable to publishers. To close, the way research is distributed has shifted twice from print to online and now from online to AI, each time a new layer formed between the content and the reader, and that layer captured the growth. We built the layer this year.

It's live, it's metered, and it's in the base of what we sell. Fiscal 2027 is about scaling it. Back to you, Roy.

Roy Olivier: Thanks, Josh. I think Josh and Dave did a great job framing our results and what we've done to lay the groundwork for the future. I want to close covering a few items. First, let's talk about how I think about FY '27. It will continue to be a year of change in our industry as we continue to see mass adoption of AI. We have deep vertical market expertise and research, where being 100% correct is required. I think of us as filling the gap between what an LLM can do and what a research-intensive organization expects. What is changing is how researchers start the research journey and what tools they use daily.

What is not changing is that the business is driven by rights management and the costs to do research. What we have always done, we will continue to do, produce tools that researchers can use where they are working in a copyright compliant and cost-efficient way, managing entitlements, company IP, rights, billing and reporting, along with access to almost 160 million journal articles from 1,800 publishers and societies is what is required in enterprise research.

Scite's access to behind the Paywall information, the unique Scite badge that shows the quality of the article a researcher is looking at and all the supporting business intelligence to help publishers sell AI rights to researchers based on usage data to improve the LLM experience exponentially for both the enterprise and the publisher. When you add that to the fact that we have multiyear customer relationships with over 1,000 enterprises around the world, we believe we're well positioned to be part of the AI growth story going forward. So what does that mean for FY '27 results?

While we do not give guidance, I expect to see strong corporate and academic B2B sales in FY '27 based on our larger and more experienced sales teams and new AI solutions. We have seen and we expect to continue to see improved renewal and upsells based on a larger and more focused team, better tools monitoring leading indicators earlier in the ownership cycle and AI tools that when installed directly translate to higher renewal rates. As noted in our press release and above, we've seen a large increase in AI-related product sales and have a strong pipeline going into FY '27. I do believe it will be a strong year in that regard.

I expect B2C to continue to be a challenging environment as increased competition chases the same individual researcher. I do think our unique value works here as well, but we are typically serving academic researchers in this segment that are very cost sensitive. What we are losing to "try something else," we are gaining in higher retention, higher monthly payments using MCP with their LLM of choice. Our ASP lifetime value and renewal rates in this segment are going up. The challenge would be to drive any material growth that is acceptable at and acceptable customer acquisition costs. In short, I think this is a flat business for the year.

I do expect to see continued headwinds on transactions or DocDel sales resulting in a low single-digit year-over-year decline as it's a 5-year -- versus its 5-year CAGR of about 1% growth. It's an important business and will continue to be 1 in the new AI world. Our tools help customers find and acquire what they need in a cost-efficient and copyright compliant way. That's not going to change. While I don't have a top line growth number to tell you, I can say that I expect the output of all of this to be improved EBITDA and cash flows in FY '27. We have almost $13 million in cash, no debt and are generating cash.

While we continue to look at acquisitions that will help us accelerate growth and add unique or strategic capability, we do not have anything lined up in the short term. We do recognize that our stock price is far below where we think it should be and are evaluating all options to increase shareholder value, including stock buybacks or other ways to use the cash to directly impact that. With now -- with that, I will now turn the call back over to the operator for Q&A. Operator?

Operator: [Operator Instructions] We will take our first question from Jacob Stephan with Lake Street Capital Markets.

Jacob Stephan: I appreciate you taking the questions and appreciate all the color as well. The AI-related ARR number, that's the first time you guys have broken that out. How much of that is genuinely incremental customer spend versus kind of like repricing and rebundling of existing subscriptions at renewal? And maybe if as a part B, you can kind of comment on attach rate with FY '26 renewable?

Roy Olivier: That's a net ARR growth number of AI-related products that could be an upsell or could be a new sale. I don't think we did that math and certainly haven't disclosed it. We will disclose an AI-related revenue number going forward, but I don't think we'll split it up across what's upsell and what's new. I guess we could, but I'd have to give that some thought. And that's -- I think we said this, but that's up -- that's compared to near 0 a year ago.

So the point is the MCP, the AI products are starting to generate traction, because that $800,000 number is out of a net ARR growth for the year of, I think, $1.8 million or $1.9 million. Dave, correct me if I'm wrong.

Dave Kutil: Correct. Yes.

Jacob Stephan: Okay. Got it. Maybe if you could comment on pricing a little bit. It seems like a lot of the industry is shifting towards kind of a usage-based model. How are you guys pricing this? Is this more of a per seat basis? Is there some usage component to it? Any color there would be helpful.

Roy Olivier: We do run some pricing models around usage, but typically, the price that's put in front of the customer is -- if it's not seats, it's an enterprise, but it has caps for usage and above that, they have to buy additional usage.

Jacob Stephan: Okay. So very similar to kind of how Anthropic and OpenAI are currently working as well.

Roy Olivier: Yes.

Jacob Stephan: Maybe just last 1 for me then. On Scite MCP and Article Galaxy MCP. So if a researcher gets your information or data inside of 1 of those 2, I guess, what keeps them from paying for either Scite or Article Galaxy? Is the MCP kind of a pull-through channel that you guys are using and driving transaction orders? Or is there some kind of intermediary in there?

Roy Olivier: Today, if you want to run MCP, you have to have the corresponding products. So you have to have an AG license to run MCP for AG. You have to have a Scite license to run MCP for Scite. However, we are experimenting with some new models where that won't necessarily be required. On the AG side, it's really hard to separate those 2. On the Scite side, it would be easier to separate those 2, and we're looking at that.

Operator: [Operator Instructions] Our next question will come from Derek Greenberg with Maxim Group.

Derek Greenberg: Just continuing off the last question. I was wondering for the MCP product, you had mentioned that, that's primarily been an upsell from current customers. I was wondering how usage is tracking on MCP versus the traditional products? If you were to break those out separately, do you see a drop-off in traditional versus the MCP or how you view that dynamic?

Roy Olivier: Do you want to take that one, Josh?

Josh Nicholson: Yes. I discussed this a little bit, and I'll talk maybe first about the Scite MCP. So if you look at usage in assistant or search compared to MCP, really the users are moving over to MCP. And so assistant usage is declining and MCP is actually really skyrocketing. And so we have over 18 million AI reads. And if you look at the growth of that, which we publish on the Scite, you can see it ticking up even this last week, 1 million reads over that. And so we're seeing a lot, and this goes to the thesis going to where the users are. And so we're seeing better retention and more usage through MCP.

For Article Galaxy, we've been a bit more conservative on how we roll that out. We are discussing different ways of deploying that. We do see usage across the customer base, and that usage is interesting, but I would say it's still pretty early. And what we're tracking there is really looking at the article -- purchase to article use. How does that compare platform versus MCP. And in both of those cases, everything is basically plain language, so instead of clicking a button here or there, you're telling the tool to do this or to search that.

And so I think it really facilitates the use of both core differentiators of the product in where users are starting to live including a lot of our own researchers and developers on the team. More and more of us are daily users of Claude, not just in software development, but really across the org. And we ourselves use MCPs from some of our tools such as our sales CRM and analytics and things like that.

Derek Greenberg: Okay. Got it. And I was wondering if you could talk a little bit more about the Gateway products and maybe the economics there on both the supply and the demand side and just how the traction look on that?

Josh Nicholson: Yes. On that, that's pretty early, but I think there's very large demand. I think what publishers are trying to figure out is how does their content exist in this world of AI. And so again, as I mentioned, we're trying to help bring content into AI just as hosting platforms brought content online. I think where we'll start to see some of that is that we provide subscription-based access to their subscribers. And so we get value to our product, which we're charging for, they get value to their subscribers and they get usage data for that. I think this is going to evolve over time.

And I think we ultimately serve a variety of different kind of mechanisms and paths to serve the AI licensing. But I think it's still early, and there hasn't been much traction across anyone kind of in the space. But there is demand, and I think we are seeing good interest from some publishers in exploring this with us.

Derek Greenberg: Got it. And then just last 1 for me. I was wondering for the pipeline you mentioned it was growing nicely. I was wondering, last quarter, you provided us over $1 million on the AI products. I was wondering if there's any more detail you could provide in terms of what that pipeline may look like today?

Roy Olivier: It's well over that today, but I don't have an exact number.

Operator: I'm showing no additional questions at this time. I'd like to now turn the call back to Roy Olivier for any additional closing remarks.

Roy Olivier: Thank you, and thanks, everyone, for joining us on our call today. As a reminder, we'll be participating at the Lake Street Conference tomorrow in New York City. We look forward to speaking with you in November to discuss the first quarter FY '27 results. Have a great day.

Josh Nicholson: Thank you.

Operator: Thank you. This brings us into today's meeting. We appreciate your time and participation. You may now disconnect.