MPS Limited (MPSLTD) Earnings Call Transcript & Summary

July 22, 2026

NSEI IN Communication Services Media earnings 63 min

Earnings Call Speaker Segments

Operator

operator
#1

Ladies and gentlemen, good day, and welcome to the Q1 FY 2027 Earnings Conference Call of MPS Limited. [Operator Instructions] I now hand the conference over to Mr. Rahul Arora, Chairman and CEO. Thank you, and over to you, sir.

Rahul Arora

executive
#2

Thank you so much, Avira, and good evening, everyone. A very warm welcome to our Q1 FY '27 earnings call. Some of you may have already got me on CNBC earlier this afternoon. Let me now take you inside the quarter properly. Today, I have most of the team in one room with me at a [indiscernible] office. It said something about how we run now run as 1 MPS. With me are Prarthana Agarwal, our CFO; Sukhwant Singh, our Chief Delivery Officer for Research Contract Solutions; Christine Miranda, Senior Vice President for Research Solutions; and Sanjiv Silva Senior Vice President, Business Head for Education Solutions. . Soma Bhaduri, SVP and Business Head of [indiscernible] which is our corporate learning business, joins us on Bangalore. You will notice a fuller cast than usual, and that is deliberate. This quarter, we are splitting the voice over on research between Sequent and Christine, so that you can hear the 2 halves business for the 2 people who actually run them. And Sanjiv steps in to take you for the education business. During the business directly from the people building it is exactly how I want these calls to feel. Here is how the next few minutes will run. Prarthana will take you through the financial performance and reaffirm our FY '27 outlook that we shared last quarter. Sukhwant and Christine will then cover research solutions between them. Sanjeev will then follow on education, a segment that keeps earning a larger place in our growth story. Soma will walk you through corporate learning. Finally, I will come back at the end with a few strategic thoughts in particular on AI and on a major shift, you will hear trade through our entire segment in it, the move towards outcomes-based revenue. Before we open the floor to questions, let's get going. Over to you, Prarthana.

Prarthana Agarwal

executive
#3

Thank you, Rahul, and good evening, everyone. Q1 has opened FY '27 as the strongest first quarter in the company's history on every line that matters. Reported revenue for the quarter was INR 224.4 crores up 20.4% over the same quarter last year. EBITDA was INR 7.96 crores up 53% with EBITDA margins expanding to 34.3% from 27% a year ago. Profit after tax grew 43% to INR 60.9 crores, and basic EPS came at INR 29.7 an all-time Q1 high, up from INR 20.78. I want to pause on the shape of these numbers because that is the real headline. Revenue grew 20%. EBITDA grew 53%, headcount rose less than 3%. That is operating leverage doing exactly what it is meant to do with growth converting into margins rather than consuming it. Strip out AT, which is resetting by design and which Christine will speak to, the underlying business grew faster revenue up 28.4% to INR 198.47 crores, EBITDA up 56.5% and the margin expanding close to 6 points to 33.7%. A few balance sheet and housekeeping items. The total cash and cash equivalents stood at INR 13.02 crores as of 30th June against the borrowing of INR 37.3 crores relating to the facility we grew for the ongoing medicine acquisition. Correction stay tight with DS improving to [indiscernible] at the end of March. As there are no exceptional items in the quarter, so the results read game. On the outlook, our position is unchanged and if anything formal. We continue to expect the company to comfortably cross INR 300 crores in EBITDA in FY '27. I would ask you to read the numbers the way we lead is internally as a floor other than as a ceiling. It is built bottom up from each segment's operating plan at an unchanged planning base, and it implies a 3-year EBITDA CAGR of roughly 21% from FY '24 to FY '27. Q1 has landed ahead of a straight line path to that mark and our second half has historically out our first. So we enter the rest of the year positioned to clear the line comfortably not to stretch towards it. With this, I hand over to Sukhwant to take you through the reserve ignition. .

Sukhwant Singh

executive
#4

Thank you, Prarthana, and good evening, everyone. Retail Solutions did what an anchor is supposed to do this quarter. It held the portfolio steady while still growing. Segment revenue was INR 13.23 crores, up 13.2% year-over-year and it remained the largest part of MPS at 55% of total revenue. What I would draw your attention to is the quality of that growth. EBITDA grew 37.9%, well ahead of revenue and the segment margin widened to 45.1%. Such aside and the core of research grew 26.3%. Scale and margin moving together like this is the reset of last 2 years turning into how we now simply operate. I want to further describe this business the way we now run it, not as a services book, but as an AI-first none solution company, serving the research economy built on a stack of product layers. I will share context on a few years and Christine will pick up Office Solutions and peer review. The first layer is trust and integrity. DigiCore, our AI-enabled production ecosystem is now live in client deliveries across our top-tier knowledge organization. Research Integrity Check sits on top of it, detecting paper mills entry fraud and image manipulation. The bottleneck in results today is no longer generating content. It is verifying it. This is precisely the control point we occupy. The second layer is production itself where AI has moved from pilot to core delivery. Our AI-enabled composition and quality workflows are live in customer delivery and are moving clients onto a modern, high-productivity platform. On our largest programs, this is showing up as 1 touch workflows, automated all tech for accessibility and AI-driven quality checks that cash errors even before they ever reach roofs. This is how we -- how the segment took on materially more work while building its cost line and expanding margins to 45%. The third layer is the platform stack, which is the stickiest revenue we have. high wire, DigiCore and ThinK365 now in production from the hosting and publishing backbone for our largest clients on multiyear contracts that run mission-critical workflow and are not easily replaced. Behind all of it fits MPS Labs, our AI and engineering engines whose work compounds across every segment at very little marginal cost. This is not a feature. It is a structural move. Heading into the rest of FY '27, my priorities are simple. Sustain this operating leverage as new work reaches steady state, scale digital and integrity adoption across the renewal base and keep -- and keep converting the platform pipeline into revenue. The thread through all of it is the one you will hear from me every quarter. We are positioning NPS at the layer where AI cannot afford to be rock. Let me now hand over to Christine to take you through Auto Solutions and peer review.

Christine Miranda

executive
#5

Thank you, Sukhwant, and good evening, everyone. Let me pick up the 2 layers to 1 last me. They sell almost offer stories that add up to the same strategy. I'll start with AE, our Auto Solutions business. You have heard us describe AE as resetting by design, and this quarter shows what that discipline looks like. As the customer base finds its new level, the revenue is deliberately smaller but it is also far more profitable and far higher in quality than the inflated base we carried 2 years ago. What is left is the high-value core, premium editorial and language editing services and AI-assisted auto workflow. Just as important, AJE has started inventing again. We launched free submission per review in April up for genuinely new service in more than 2 years, and demand has run well ahead of what we planned. The pruning is behind us. And from here AJE is set up to grow on value rather than volume. The second layer is where our offense is a free acceptance peer review and Journal editorial office business. a layer that scaled because of the acquisition of AG. This is one of the fastest growing lines at MPS. We are now the second largest peer review provider by volume and our aim is to be the first by the end of this year. That growth is anchored by the largest publishers in the world, interesting us with more of their submission workflow, including some of the more sensitive portfolios, which is not a decision anyone makes lightly. A step of homegrown AI tools is how a team of our site handles that volume at all. I want to connect both of these to a team Rahul will return to. In Auto Solutions, we are increasingly paid for an outcome rather than for hours of pages, a manuscript that gets accepted an integrity decision, a publisher interest, a submission process and move forward. Our controlled work shows a manuscript acceptance rate of roughly 52% and against an industry baseline near 32%. That is a measurable result we can attach revenue to, and it is where Auto Solutions is heading. Premium tiers were after pay for quality and faster turnaround. AI-driven productivity wins, we share partly with clients and partly keep the margins and expansion into fast-growing research ecosystem such as China, where we have already begun signing partnerships. With that, let me hand over to Sanjiv to take you through education.

Unknown Executive

executive
#6

Thank you, Christine, and good evening, everyone. It is a privilege to join our first MPS earnings call and to do this in a quarter like this one. Education has become MPS's second growth pillar, and this quarter, it delivered a skin. Segment revenue grew 42.2% year-over-year to INR INR73.41 crores and 22.1% over the prior quarter at a 35.1% EBITDA margin. A good part of the setup is unbound medicine, now in the base for its first full quarter. And you can see it most clearly in our client count, which goes across the company to 84 from 44 a year ago. as announced institutional subscribers come into our books. Rahul will pick up the strategic picture on our inbound shortly. So let me spend my time on the rest of the education, which grew strongly in its own right. Underneath the acquisition, our content and learning business kept compounding on its own account, 3 things grow it. First, our AI-enabled content and production work deeper several of the largest U.S. knowledge organization across Kiel and hired moving from pilots into multiyear multi-programs checking our accessibility lines where we produce accessible learning media at scale with AI kept building toward a large journals rollout later this year and remains a high-margin, high-growth business. And third, we are opening generally new lanes, including work with clients now paid to review quality check, AI-aided instruction content, a service that did not exist for us a year ago and they now want us to grow. Adding into the rest of FY '27, we have a healthy pipeline across our largest relationships and focus on extending into international knowledge organization. That, together with the first full year of unbound to build on gives us real conviction under the guidance protein. Let me hand over to Soma for corporate learning.

Soma Bhaduri

executive
#7

Thank you, Sanjiv, and good evening, everyone. Corporate Learning was a segment that carries the more stress last year, and it is now the segment most clearly turning upon -- this was our second consecutive quarter of growth. Revenue grew about 6.9% year-over-year to INR 27.60 crores. And the story underneath is the margin. grew 6.7% and the margin expanded to 25.3% from under 17% a year ago. We did that on for head count roughly 1/3 lighter than last year, which is last year's restructuring finally flowing through to returns. And this is not a recovery of the legacy business. It reflects a business that is fundamentally repositioned itself from learning creation to enterprise capability enablement. Today, we help clients call workforce challenges through AI-enabled and immersive solutions that embed learning and performance into the flow of work by enhancing existing LMS, LXP SharePoint and Enterprise platform, with AI, simulations, [indiscernible] experiences, we create scalable solutions that can be reused across business units and geographies. The result is deeper client relationships greater scalability, stronger margins and a business built for sustainable profitable growth. Growth is also broadening with new client additions across geographies and AI-led wins increasingly acting as strategic answers into larger enterprise transformation programs. Heading into the rest of FY '27 our focus is to fold this exit margin as a run rate, make AI led delivery the dominant part of the mix and complete the integration of our legacy entities into 1 unified liberate global brand. The base is ready. With that, let me hand it back to Rahul.

Rahul Arora

executive
#8

Thanks, Soma, and thank you, team, for those rich updates. Before I close, let me pick up [indiscernible] myself. Because this is one of the most strategic initiatives we are working on this financial year. This was a full quarter inside MPS, and the headline for me is a prove the thesis rather than the pitch. Unbound brings exactly what we build for a recurring higher renewable subscription business anchored in medicine and nursing sold to a broad institutional base of medical [indiscernible] schools, hospitals and libraries. That base that's 2 things for us. It lowers our customer concentration and it gives us far more predictable forward revenue than a traditional project book. None of our [indiscernible] relationship is billing less. We have simply added a long tail of high-quality recurring accounts on top of it. It also brings the capability we care about and what we call unbound intelligence, a knowledge engineering layer that turns trusted medical content into AI products that do not hallucinate. We are integrating deliberately, learning that renewals cycle before we commit to synergy time lines, and we have started early cross-sell conversations with some of our customers. It's behaving exactly as we underwrote it. And on the acquisition of this importance, that's the best thing I can tell you. Now let me close the opening section with 3 thoughts before we take your questions. First is on because it runs through everything you just heard. We run MPS on one principle when it comes to AI. It should show up in our revenue, not on slides. DigiCore and research integrity check are deployed at scale. Our AI auto workflows have processed well over a million manuscripts, which AI is translating at an enterprise scale inside corporate learning. The common across all 3 segments is that we sit at a layer where AI cannot get it wrong. Cannot afford to get it wrong. Where every fact has to be sourceable and every output has to be trusted. When the market worries that better models will commoditize everyone, my view for the work we do is opposite. As model gets stronger, the constraint moves from generating content towards verifying it, validating it towards domain context towards the last mile inside available workflow. Last mile is exactly where MPS sits as a tailwind for us, not a fact. The second thought is the one on you take from uniting and heard every the touch in it. Our revenue is steadily shifting from being paid for effort to be paid for outcomes. For most of MPS's history, we were paid for Pages produced powers worked. Increasingly, we have paid for a manuscript that gets accepted for a paper mill got before it gets published for acceptable assets delivered at scale for a subscription that renews every year at unbound for a learning program that changes how someone performs on the job. Outcomes carry better economics than effort because the value sits in the results rather than the input. And they are far harder for anyone to commoditize. That shift is a large part of why revenue grew 20% this quarter when EBITDA grew 53%. As the mix keeps tilting towards outcomes, this is the engine under the margins, and that is deliberate which is in to my third part on FY '27. Before the guidance itself, let me give you one framing in my own words because I know some of you measure it this way. There's a simple test in the finance world called the rule take company's revenue growth and added to its EBITDA margin. And is it too clear 50, we are looking at a business that is compounding rather than buying its own growth in margin. This quarter, our 20% revenue growth and over 34% EBITDA margin put us comfortably past the rule of 50. So let me measure about it. I'm not promising that we will clear 50% every quarter this year because phasing of our business does not work that neatly -- having said that, the analysts might come the numbers and say, no, you will cross it every quarter. But you know us as a conservative management team at MPS and when it comes to Star gating. Rule of 50 is a mark we are hopeful of theory for the full year and opening FY '27 on the right side of it tells you the operating model is doing exactly what we built it to do. On the guidance itself, Brasa has reaffirmed our expectation to completely cross INR 300 crores in EBITDA and rather than repeating the number, I won't tell you how much conviction steps behind it. This was the strongest opening quarter in the entire history of MPS. Margins expanded in all 3 segments, and we delivered it without leaning on headcount. The work to deliver this year is not sitting in front of us as a plan. It's already in flight in the way MPS now operates every day, please read the guidance as a floor, not as a target we hope to reach. We enter the rest of FY '27 with more conviction in NPS in this business than any point in the last 2 or 3 years. The portfolio is in better shape. The team is deeper and the discipline we built for last year is not simply the run rate, not the project. With that, let us open the call to your questions.

Operator

operator
#9

[Operator Instructions] The first question is from the line of Rishi Parekh from [indiscernible]

Unknown Analyst

analyst
#10

Congratulations on good numbers. And it's good to actually see such a large pad on the call as well. So my first question is actually related to that. Over last one year, we have actually seen some movement in the people in the -- at a management level. So first of all, what is driving some of these exits and replacement? And the second part to that is that, I mean, considering we are geographically spread across the globe now -- how are we ensuring that the operational and the cultural continuities there across our acquisitions across our business lines as well.

Rahul Arora

executive
#11

Yes. Thank you for that thoughtful question. So as an organization, of course, while we discuss Vision 2027 and FY '28 we are building for 2022. That's the overarching kind of long-term planning that we're doing. And as we're building towards that, the talent machine is growing both internally and well externally. Now as the talent machine expands in a very quick span of time, sometimes you make mistakes, sometimes things go well. I think overall, as a management team and as a Board, are very pleased that more often than not, we get it right, sometimes we don't get it right. But just looking at -- if you benchmark ourselves to markets in general, MPS is performing better than market when it comes to external talent acquisition. In terms of success rate. In terms of internal rates, we are seeing, we saw farmer promotions this financial year than previous year than the previous couple of years, in fact. So the internal talent machine is also throwing up good managers from the system. In addition to that, your question was on how do we maintain culture. So I think kind of going bottom-up, we are grounded in our core values of what we call the Triple E, Excellence Efficiency and Empathy. Those values have kind of stood the test of time and get translated to every asset, every business that we acquire. And these values are then kind of executed through 1 singular culture principle, which is an ownership mindset. So between the cultural principle and the EEE values is how we integrate acquisitions across the globe, not just in India.

Unknown Analyst

analyst
#12

Okay. Great. On the second side, we have seen actually a reduction in our employee base. Now I believe some of it may be because of our acquisitions having some redundancy in terms of employees. We were also looking to outsource or use the gig workers as part of our process. And I'm sure there is a productivity also involved over last one odd year. So from that when we specifically look at productivity part of this reduction, how are you actually looking and ensuring that we are not diluting the quality of the offerings that we have with our customers. You have highlighted and how you're using AI and I think even Sukhwant has touched upon it as well a little bit in your opening remarks. But if you can just ensure that how are we looking to ensure that the quality remains at what we are how to deliver.

Rahul Arora

executive
#13

Thank you for that question. I'll ask Soma to specifically answer this from a corporate learning perspective, what has been the impact there in terms of -- of course, the whole gig worker approach having a network, et cetera, is more kind of consistent with the corporate learning business. Once Soma is done, I'll come back and talk a little bit about this from a stand-alone MPS perspective that does not include a couple of items.

Soma Bhaduri

executive
#14

Absolute. Sure. So the corporate learning headcount like we saw has -- is down about 30% year-on-year, and it breaks into 3 parts. Last year is really the structural redundancy. Now after last year's restructuring the consolidated duplicated roles, and we delayer the delivery model. It is more like a onetime effect rather than a recurring impact. The second [indiscernible] is the move from fixed to variable capacity. With that, we are shifting a share of delivery to a peak and associate model. So this is really so that we flex cost with project demand instead of carrying it throughout the year out. The third and smallest today but growing, as I could see, is productivity. Because as AI-enabled offering content and quality flows are coming into the picture, that led to a smaller team to deliver the same or more. And on quality, which is the right thing to grow and thank you for touching on that. Maybe if I touch the senior -- if I talk about corporate learning, we did not touch the senior instructional design or the client-facing binge, to be honest. The reductions were concentrated in redundant in non billable layers and our delivery quality and plant retention has held through this transition very well. We watch that quality at the engagement level. The margin has expanded without a corresponding rise in rework or client escalations, which is kind of a proof that we at structure, but really not the ability and also into this entire aspect, I would also like to add that the improvement that we have seen has come from the mix and the operating leverage where in Q1, we've been able to show both of them working. Our revenue has grown and I'm specifically talking about profit earning at 6.9% to INR 27.6 crores but EBITDA grew 60.7% and the margin moved from 16.9% to 25.3% because we rebuild the cost base rather than chasing volumes or -- Yes, that would be my answer on if you may please to this.

Rahul Arora

executive
#15

Sure. Thanks, Soma. So the reason I pointed to Soma first was because the question was more about headcount. But I also want to double click on expense because that's where the special story played out of the business. So if you see on the research side, headcount grew from '26 to '22 over last year. And then on the education side, head count went down from 799 to 765. So the head count was fairly stable. The reason why the increase was nominal is because all the increases we saw, whether it was from the increments or the addition of unbound what kind of notified by AJE entirely offshoring. So all the U.S. roles was brought to India in -- by the end of Q4 last financial year. So Q1, we had very is U.S. headcount. And our NPS scores in fact, Net Promoter Scores during this period actually went up, not down. So it was -- I have never seen a transition like this where quality actually improves. But while the mind counterintuitive we suddenly now have more control of the operations, and therefore, the quality has gone out. And so overall, we've been able to play this dance where the as certain costs are going up on certain parts of the business, we've also been able to pull them down in other parts of the business.

Operator

operator
#16

The next question is from the line of Kashish Mata from Dolat Capital.

Unknown Analyst

analyst
#17

Congratulations on the very quarter and questions I just wanted some color on the number of clients built during the quarter. So if I look at it Q-on-Q, it has gone down from 906 to 841 so is there some client rationalization or account pruning that is going on. So just want some insights on that aspect.

Rahul Arora

executive
#18

Yes. The only space that there's been tuning in the business is AJE, which Christine already described. So that's the only pruning that's taken place in the business. Okay. Yes, that's pretty much .

Operator

operator
#19

The next question is from the line of Ravi Komanaridi from Naredi Investment.

Unknown Analyst

analyst
#20

You are doing really fantastic in last 2 years, you have changed the company totally. Sir, you had given INR 300 crore EBITDA for this financial year while our target of top line was INR 1,500 crores. So you changed the top line to EBITDA?

Rahul Arora

executive
#21

No, sir. So [indiscernible] thank you for your kind words, encouragement always feels good. So the INR 500 crores is for FY '28 next year. And that probably will translate to more like INR 450 crores EBITDA. This year's guidance, FY '27 guidance is that we will cross Comfort cross INR 300 crores. This is financial year. So for next year, INR 500 crores and more like INR 450 crores EBITDA.

Unknown Analyst

analyst
#22

You are really doing good. Please keep balance between cash and whatever application we are going to do because I again, telling you range of equity is very costlier to shareholders, including you. So I hope you will abide by this system and not raise any [indiscernible]

Rahul Arora

executive
#23

I completely agree with you. I think we've learned that today itself, right. So from my perspective, like I shared with you -- I've shared with you previously, first, strike is cash accruals. I think Prarthana pointed out, that's INR 138 crores. The business is throwing up INR 15 crores to INR 18 crores of cash every month. So that's the first of a tax. Second area of that is, again, let's assume PAT of INR 200 crores similar cash flow is normally fairly similar to PAT. So corresponding to that, debt of INR 200 crores is very comfortable. So doing an acquisition in the INR 300 crores, INR 500 crores range seems fairly doable between internal cash accruals as well as debt. So yes, I don't see an equity play here unless, again, never so have right. So but most likely in terms of likelihood, I think this is a cash plus debt financing kind of story.

Unknown Analyst

analyst
#24

Any new acquisition in pipeline?

Rahul Arora

executive
#25

Yes. So like I've shared previously, there's something always in the works. We have an active pipeline -- we're trying our best to not look at assets lower than $15 million in revenue. We modified that amount simply because of how good the asset was in terms of strategic synergies. But really, we don't want to be looking at businesses that are below $5 million in revenue. In terms of what are the types of acquisitions that we're looking at, I think education is the area that has been growing for us. We want to acquire more in education. In terms of domain, science is the core of MPS. As I shared previously, we are now -- 25% of our revenue is now coming from outcome-based partnerships revenue is coming from recurring themes. So overall, we want to keep that growing. So that's, again, something that we will look in the asset as well. And third, we want to look at subject matter where AI is a tailwind, not a subtractor. And what we've learned is that when the subject matter is high stakes, think of whether where the cost of getting it wrong, is so high that you will never go to 100% AI. For example, in the nursing world of the medical world, if AI hallucinates, the cost is a patient time. in cybersecurity, if AI hallucinates, there's a cost of an enterprise line. So those are the kind of assets that we're looking at, where the content itself is such high stakes that AI instead of being a subtractor actually becomes a huge multiplier and tailwind, and that's what we're looking at. So between these broad themes, there's an active pipeline. Now of course, the invisible theme is we also need a motivated seller and that will allow us to acquire the asset in a competitive way, and that then determines the close.

Operator

operator
#26

The next question is from the line of Mahesh [indiscernible]

Unknown Analyst

analyst
#27

My first question is on [ AnbanMedicine. ] It's been 5 months since you record on bond editor. What you think and challenges that we learned about the sector on the company?

Rahul Arora

executive
#28

Thank you for that question. I think the biggest learning the new -- so I'm not going to talk about things we already learned in diligence, things that we shared with you previously. I think your question was what new. I think this past quarter, the new learning was the synergy between [indiscernible] and Soma, I'd like to bring you in a minute. Please don't name the customer when you speak. Just talk about what those experiences were in your road show. So Soma recently did a roadshow in the U.S. where she and the -- the inbound sales team met with the unbound customers to talk a little bit about LIBERATE. Yes, I had an inclination that the there to be some synergy and that's why we kind of went on to the road show -- but we saw some massive opportunity between LIBERATE and unbound where there is a need for experiential learning, learning by doing. And that's an area in the digital world, Liberate really strong at. So that's one new area that we tapped into this past quarter. I think the second thing we learned was how a strong culture can help you punch [indiscernible] wait. So for example, if you look at the ownership culture unbound, people delivering $9 million of revenue and actively growing. And that software piece is something that has been hard to learn from. The third thing, even though this is competitive information. I'd like to share because it's available in the public domain. When your solutions or your offering has a value has significant value, you hold pricing power and unbound possesses exactly that. So while Unbound is the most competitive in the supply chain, so they compete with much larger companies. Every renewal with a customer, whether it's a general customer or a 3 customer has a price increase. Every year within a term of a contract, there is a price increase. And as MPS, we've learned that within our portfolio of solutions, there's tremendous -- there are many areas where the disproportionate value being created by MPS and the potential opportunity to do price increases. So that's been the third surprise learning. But again, I'll go back to Soma to talk about the synergies between Liberate.

Soma Bhaduri

executive
#29

So one of the things we realized and Ravi touched upon that. A lot of the losing and the medical or the par Medical, the pharmacy-related world, that unwound caters to, and it is a huge advanced market with some of the of, I would say, the industry there. And our capability as an Venator, liberate or the corporate learning side of the business, our experience and capability in having worked with the medical and a similar kind of world. The synergies we saw were in -- One of the discoveries we had were everything is more physically tactical even now, why there is a beautiful want to be cash on with a lot of content that unbound already has an shares, there is little to the learning while doing or learning as you do, which is so critical in the medical and especially the margin world the continuity and so on. So this is where we see us coming in. It is a huge selling opportunity. A lot of the AI-enabled immersive and Enterprise Platform Solutions segment that we can partner with inbound, building on what is existing, increasing the value, the margins for the customers. And the other very good part is they're increasingly seeing opportunities where we've been able to peak or very kindly get audience with the highest ranking the shares of different institutes or universities that we visited and there was extremely open thought process about how instructional value clubbed with stick and AI enablement that create wonder continuing education and the digital world opening up for that site, which is still pretty much untapped. So the synergies and possibilities I would say it is more likely of working into the vectoring and more the renewal of retuning model that [indiscernible] had it is more on a top-up that you can do on top of that.

Unknown Analyst

analyst
#30

If I can ask a follow-up question on non medicine ran. What's the monthly run rate? And the margins and where do you see those 2 metrics in a year or 2 from now?

Rahul Arora

executive
#31

So I'll get Prarthana to talk about where we are today, and then I can talk a little bit about where we are.

Prarthana Agarwal

executive
#32

The monthly run rate is around $800,000 per month in dollars and then now the model -- the margins currently, we are in the range of -- we are in the late 20s. We are in the -- we are between 18% to 20%, and then we increase from here.

Rahul Arora

executive
#33

So I think the unbound -- so at MPS, we are -- we've, over the last few years, kind of embraced the rule of 40, where the sum -- the arithmetic sum of your EBITDA margin and growth rate should be over 40%. In fact, Q1, like I was pointing out, we are now a rule of 50 company. So the same principles will apply to unbound where the expectation is first unbound clients to rule of 40, which is hopefully an EBITDA margin in the mid-20s to late '20s and the balance of it flows through revenue growth. And ultimately, as the business settles in into MPS, fingers cross, knock on wood, it crosses the rule of 50 as well.

Operator

operator
#34

The next question is from the line of Nachiket Kale from NK.

Unknown Analyst

analyst
#35

Congratulations on a great set of business. One small question in the segment in breakup. So I noticed that the Corporate Learning segment, the revenue has gone up, say, around 7% provide. CBC is almost to we. So that [indiscernible] and any ForEx component to it or you go further invite?

Rahul Arora

executive
#36

Sure. Soma, you want to talk about the operating leverage. Don't worry about repeating yourself. Talk a little bit about the operating leverage in the corporate learning business.

Soma Bhaduri

executive
#37

Yes, sure. In a steady state, the business should operate at a 30% EBITDA margin and organic growth should be to 12%. Like I mentioned earlier, our improvement from here comes from the operating leverage. And we've been able to show that already taking shape in Q1 with the results, where our revenue has grown almost 6.9% at 7% to an of INR 27.6 crores, but our EBITDA has grown 6.7% with the margins moving from 16.9%, 17% to 25.3%. Now all of this was because like we had mentioned earlier or I mentioned that we rebuilt on the cost base rather than chasing this volume. How I would say 2 engines would take it further from here if we look at it. The first is the shift towards AI-enabled immersive and performance-focused solutions and we should raise the value of each engagement and carrying way better margins. The second is a first, the depth we see inside the accounts we already have, through cross-selling, managed lending services, AI platform enablement and enterprise-wide rollout, the capability just increases from here. And we have multiple with multiple enterprise engagements approaching the $1 million mark for us and the healthy pipeline of new logos we are confident that Corporate Learning will continue converting growth into profitability. While it will still be building a stronger base for nectarine and sticky revenue.

Rahul Arora

executive
#38

I don't have a quick number to answer on that dollar question. What I do know is North America is not as big for corporate as it is for research and education. So there is less of a dollar improvement in the corporate learning business compared to the rest of the business.

Operator

operator
#39

The next question is from the line of Vikas Nate from [indiscernible] Ventures.

Unknown Analyst

analyst
#40

Yes. is. actually, if you just strip of the bond revenue, we have found that the growth is in early teams. And we are also agreeing with the fact that AI will enable new people to just give more reliable and more versions -- so why can't we think about a much higher growth than we have reported now, and that's possibly take.

Rahul Arora

executive
#41

So thank you for that observation, and thank you for pushing us. We're not settling for achieved organic growth. Of course, the aspirations are much higher. The quarter that you see is in the rearview mirror, I'm not ahead of us. So our expectation is that in all the 3 markets, outperforms those markets on organic growth. Now the markets themselves research to the 8%, 9%, we tend to grow at 15%, so term Education is more like a 15% growth market. We've been growing much higher than that. On the corporate side, I think the market is growing at 12%, 13%, and we've grown 6%, 7%. So that's the area where a lot of the catch-up has to happen. But absolutely a revenue given the type of business and platform that MPS is, we should be growing at a premium to the market rate and industry rates, and that is the goal here. We're not settling [indiscernible] today.

Unknown Analyst

analyst
#42

Yes. Because if you look at the management and your commentary from all perspectives, if you tick all the boxes, the only thing that is missing is to growth. If you can push it to maybe higher teens and then some inorganic citation comes through, then that will take all the boxes for us. So my second question on inorganic acquisitions. So earlier, we used to be acquiring smaller acquisitions. And now we have to plan for larger ones because that will only move will for us -- so how does our strategy changes in the direction that we maintain culture and also make sure that no acquisition we do will totally fit into our product portfolio and integration will be much more how both strategies earlier and now will be the same?

Rahul Arora

executive
#43

Yes. I think -- thank you for the question. I think, first, let's zoom out, right? So why did the strategy change? And what was the reasoning behind the old strategy? Like I'll start with the first one. The reasoning behind the old strategy was to do with the scale of the business. At the end of the -- when we started this journey back in 2012, revenue was INR 125 crores was a loss in the company. There was no cash. And as the business keeps growing, we keep deploying internal cash towards acquisitions. And there is this period where as a business, we could not afford anything except distressed assets. The pandemic gave us time to pause and reflect and we realize that while the stressed assets as a stand-alone investment are highly accretive financially. Our typical -- if you look at our ROCE, for example, it tends to be north of 30%, sometimes a period has been even -- so as a standalone investment, all of these have been phenomenal, but what an acquisition of a distressed asset does is it distracts you from the very organic growth you're pointing us towards because the entire management team is executing a new asset every year. So that's why we decided to pivot and focus more on assets that has some inherent strength rather than totally collapsed asset that we have to turn around. And so we've seen organic growth return to MPS as we use this strategy. In terms of the filters that we apply to the acquisition targets, I think I answered that question a little bit earlier around scale and domain. I think in terms of other financial parameters, we make sure that the asset for the over a 3-year period has been growing at a CAGR of at least 10% on a revenue basis. And EBITDA is somewhere between 5% and 15%. So where we come in is -- we improved the organic growth profile, take EBITDA from 5%, 15% to 30% and kind of unlock the rule of 40 for each of these assets. So that's the strategic value that we add. In terms of how do we make sure that this continuity. Typically, during the digital space, we'll identify the teams that will continue with the company. We'll work with the owners to extend them. This is done both financially through stock options, but also more operationally as well by giving people larger roles on the MPS platform rather than working on a stand-alone business as well as I think the -- many of the deals that we have walked away from during DD have been because of cultural misalignment. We're looking at a very interesting asset on the education side recently. Where we simply did not agree with some of the shortcuts the management team has taken with some of the customers. And at a very advanced stage, even though it would have been a great financial deal, we decided to walk away from it because we were concerned how it would impact our existing customers. So yes, I think a lot of work is being done around mindset and alignment on thinking, and that's typically done at a state.

Unknown Analyst

analyst
#44

Yes. Again congrats on phenomenal execution. Thank you.

Operator

operator
#45

The next question comes from the line of Kaushik Jhawar from AK Investment.

Unknown Analyst

analyst
#46

Firstly, a set up in the team really appreciate by delivering the numbers. I have a very basic question out. So now we see AI, I mean it is advancing to a very high level with the new models, et cetera, right? And the quarterly numbers basically shows is that MPS is basically not a threat for the AI. But can you also just from an investor perspective, just to get more confidence, can you share basically our use cases for each and every segment where AI or as an MPS, we have a real moat in the business, and we can really benefit and get superior margins going forward.

Rahul Arora

executive
#47

Okay. So if you let me assemble my team to answer some of these questions. So we'll go across research, education and corporate education, I would want to talk a little bit about unbound and maybe I'll kick it off with unbound. And maybe then Sukhwant can come in and talk about how he's using in research, and then Soma can come in at the end to talk about corporate. So on the education side, with unbound. So for example, we use -- we have within the [indiscernible] platform we have something called Unbound intelligence, which essentially is using open LLM kind of models that is scraping a walled garden of content and working with the consumer of the content to provide them information real time. So for example, if a nurse has a question, regarding a specific disease in the flow of work through our mobile app, she is able to ask a question and through a chat interface, the question is answered. What differentiates us from generic models is that we are not scraping the web to answer this question. We are, in fact, scrapping things that are behind paywalls from publishers think content assets that are behind payables from publishers as well as content assets that we built over the years. These assets are peer reviewed sound, signed assets, so the unbound evidence tool or chat cannot get it wrong because it's not coming from someone's opinion, is coming from science. So that's a very big differentiator from -- for us. So for example, if the same nurse went to -- can there's no guarantee whether that cap would scrap the way, what they would script and what information ChatGPT would provide. So that's kind of the defensible moat that is on the unbound side. Let's go to research to once and you want to come in and talk a little bit about that.

Sukhwant Singh

executive
#48

Sure. Thanks. So as I mentioned, what I was speaking earlier that for us, AI has become embedded in our delivery, in our production ecosystem. So we talked about 3 layers. So in terms of our production, we are actually using AI live in our workflows to ensure that speed and quality of the work that we are doing is improved. And also, in particular, on the platform side, I mentioned that we have AI support our -- every part of our workflow right from posting to publishing. So all specific parts of our workflows are now being aided and enabled by and on top of that, we have this continuous R&D happening on -- in MPS Labs, which is our AI engineering engine. So overall, AI is actually compounding our deliveries across every segment. So that is the structural mode that I talked about earlier. I'll hand it over to now to Soma, go ahead, talk about corporate earnings.

Soma Bhaduri

executive
#49

Yes. So I would say for us, we are looking at us as an AI transformation partner for our customers. And if I may say areas that you're really pouring into is AI across the entire learning value chain, not just content or content creation. If a client has a lot of our clients have thousands of legacy learning assets. on their LMS on their NXPs on share points. And we are enabling them to use AI and modernize, repurpose that same content or add value to it into role-based learning something that will enable performance. We have chat bots that can help you with immediate operational sort of various responses problem solving, reducing downtime. We have our bridge, which we spoke about earlier. And that has multilingual experiences and capabilities so we're not rebuilding things from scratch. And I think for our internal processes for clients, there is an evident value. AI is also enabling us in our basic for Fulcrum instruction in the line of the process in the [indiscernible] devaluation, I would say, rubric that we create, of course, translation localization, the quality assurance process we're building in AI models that can give us better results, media production and significantly of first, trying to reduce the delivery time line while maintaining quality for our customers. It does. And I would say finally, AI, it is becoming a growth engine, as I see, because we are increasingly winning enterprise engagements to build AI-enabled learning platform for pilots, simulation play experiences for our customers. And this is allowing us to solve broader workforce performance challenges as I see. So we were talking about outcomes, right, how our organization MPS are full, we are becoming that AI sought sort of knowledge solutions partner, a partner that enables performance -- and rather than simply develop learning of horses, which or swipe any learning company or a corporate learning or relearning size would do, we're increasing both the customer lifetime value and our margin profile. That's how I would put it.

Operator

operator
#50

Ladies and gentlemen, we will take that as the last question of the day. And I now hand the conference over to Mr. Rahul Arora for closing comments.

Rahul Arora

executive
#51

Thank you, everyone, for a truly engaged hour and for questions that as always was sharp and came from you're looking outside in. Your outside in perspective, as I've shared previously, is worth more to us than like you might think. This always allows us to step back, see your own business from different angles that we can miss sometimes to the inside. And so we saw some of those themes today both in terms of questions as well as remarks. There's a question on what are the new things you've learned about unbound. I think that was a very valuable question. There was an encouragement to understand that, that will always be cheaper than equity and to lift that principle. So again, very well received. And finally, there was a challenge that we must aspire to drive organic growth in the late teens and not settle for anything less. So thank you for that encouragement and challenge. But let me leave you with one thought. If FY '26 was the year, we proved that this operating system works FY '27 is the year we let compound. Q1 is the first quarter and the first evidence that we're doing exactly that. The two ideas I want to save with us today are the ones that ran through every voice on this call tonight. AI is showing up in our revenue, not merely on PowerPoint slides and more of the revenues being paid for outcomes rather than effort. These are not slow wins. This is how a 34% EBITDA margin quarter actually gets built. And they are the reason the conviction behind our FY '27 guidance is as high as it is. You've heard me take tonight that we are conservative launch here at MPS. So I will not oversell the year. I will simply say that the work to deliver is already in flight. To our customers, our employees, our partners and our long-term shareholders. Thank you for the steadiness you give MPS through every phase of this journey. We have a great deal of work ahead of us. And if I'm honest, we're going to enjoy every minute of it. We look forward to staying close to the year and to updating you again next quarter. Thank you.

Operator

operator
#52

Thank you. On behalf of MPS Limited, that concludes this conference. Thank you for joining us, and you may now disconnect your lines.

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