Evolving with AI: The Key to Business Competitiveness and Innovation

Check out the full episode below! Enjoy the Exchange? Don't forget to tune in live every Friday at 12 pm EST on the Greenbook LinkedIn and Youtube Channel!

Karen Lynch and Lenny Murphy emphasized the critical need for businesses to adopt AI technologies to remain competitive in a rapidly evolving market. AI's transformative role in optimizing data collection and internal processes was likened to foundational innovations like the discovery of fire. Businesses must integrate AI to enhance efficiency and customer experiences, and the urgency of this shift is more pronounced than ever.

Key acquisitions in the AI sector, including SMGs purchase of Bulbshare and Amplitude’s acquisition of Command AI, were highlighted as examples of larger companies seeking innovation through smaller, more agile firms. RIWI ’s acquisition of Theorem Reach was discussed as a strategy to enhance programmatic sampling in market research, addressing the challenge of obtaining high-quality global data. Additionally, the launch of Canvs AI, a tool designed to streamline data analysis, and reports pointing to shifting customer expectations, were reviewed.

Many thanks to our producer, Karley Dartouzos. 

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Transcript 

Lenny Murphy: Good morning.

Karen Lynch: Morning, afternoon. I don't even know what time it is, Lenny? Is it noon?

Lenny Murphy: It is noon. It is time.

Karen Lynch: You had to look. I did.

Lenny Murphy: It's been a crazy morning. I've been in back to back meetings. So guys, that's where I'm a little more discombobulated than normal because I actually just got here. So.

Karen Lynch: So funny. So. So, yeah, no, it's been a week, though. I mean, our AI event was a bit consuming for us here on the inside, but I think it was a huge success. So, you know, thank you to everybody who attended, everybody who spoke, to our marketing team who, you know, got everybody there and, you know, I just, you know, feeling good about how it all went.

Lenny Murphy: So do you have the horse?

Karen Lynch: Do I have a horse? Every time I'm like, I don't know, get the horse again. But yes, we have the horse, but the horse has, is a different context right now is the bottom line, right? So my big takeaway from all of the content was, you know, within the next year, you know, AI features are table stakes for every business period, right? I mean, you just have to be using the technology for your offerings to be competitive in the next generation of our marketplace. So, I mean, that's my big takeaway. It's like, it's no longer about the dead horse. It's like, all right, this is it, right? You will not be competitive, period. So get your developers figuring out what you need to do.

Lenny Murphy: Let's riff on that for instance. It's been, boy, it's just been an interesting week and an interesting day. The meetings that I, just today, and this will put in context what you're talking about, right? One was with a data-centric supplier on their roadmap about leveraging AI across their data assets. The next meeting was an interview on behalf of a Fortune 100 company to understand the future of data collection. With the vision of five years out, of what that looks like, And the end with the assumptions being that we are asking fewer questions, we're leveraging AI for both how we collect data and how we leverage data. And that is where their heads are. My next call was with a fortune 100 directly leveraging computer vision within their internal solution stack. I'd share those very specific examples on top of what we've heard from the clients, all the clients at IIEX AI, and all the data that's about to come out in GRIT here in another two weeks, I think. The horse, yeah, you nailed it. The horse already left the stable, too. We'll take that analogy further.

Karen Lynch: Yeah, I know. And it's cool, because one of the speakers on day one, Donovan Andrews, talked about who, you know, is an Ogilvy consultant, so he's very tapped into all things, right? But one of the things he shared, which was sort of the quote of the event for me and Jasmine, you know, who heads our marketing team was, you know, we haven't seen an innovation like this since fire. Like this is bigger than, it's bigger than mobile. You know, like, and I keep thinking about like, at one point we were discussing this, like, this is like mobile. And he's like, yeah, no, it's not. It's bigger than mobile. It's bigger than wifi in general. This is as big as fire. This will change the way we do everything. And it gave me goosebumps to think about it to that level that he can see it at. He's super ahead of the curve in terms of his learning. And, you know, just brought me to a whole new level with it about how this will be integrated into every aspect of our lives. And, you know, you think about our industry, Lenny, because we were both around when mobile when everybody's like, oh, mobile survey, like literally mobile surveys, whereas, of course, today, like there's a form factor change. Right? Form factor change. But everybody was thinking about whether they needed to do it. That was the point I was going to make. It was a decision. This isn't a decision. If you're not deciding to move into this space, it will not be an option for a successful company.

Lenny Murphy: Yes. Yes. And here's the flip side of that.

Karen Lynch: We have so much to talk about, and here we are.

Lenny Murphy: We do. It all frames it up, right?

Karen Lynch: Sick of this, sue us an email at the exchange at greenbook.org. If you are so sick of Lenny and I and the freaking horse, because you know, I could save this horse for a grandchild pretty easily.

Lenny Murphy: I do think that this was an epiphany this week. And I've been sharing it because I thought it was just so powerful. You guys tell me whether I'm full of crap or not. There's been a few interesting things with this whole change, this technology, the new fire, right, the AI just unlocks usability of information. That's the fundamental piece. But there's been two peripheral changes that have happened as a result of that. One was the need for increased processing power, right, to power this. So we've seen the rapid rise of Nvidia, and it's all about chips, and you know, etc, etc. So that this technology can grow, and be efficient, effective. The other has been power, right? When you have Google officers, etc., invested in nuclear power plants, right, dedicated just to powering the processing needs. The third that has not been talked about, but is fundamental, is data. The public LLMs have already exhausted all publicly available data. Now we are in the era of fit-for-purpose data. And to solve specific business issues, there is absolutely a role for the public LLMs 1000%. But this is research about the industry's opportunity, because that's what we do. We provide data fit for purpose around very specific foundational business issues. So if we've been scared about AI, because it does, it absolutely changes business models, it changes pricing structures, it changes processes, absolutely 100%. But the opportunity for us industry, to, to be foundational, to be fundamental to this new ecosystem of providing the right data at the right time to address the right business issues. And that is so damn exciting.

Karen Lynch: It's just, I mean, you know, I know. Well, my favorite, my favorite use case for everybody, you know, listening is for us to be able to interact with the data on a very I want to be able to talk to it. And we talked about this on the webinar that Alita had with Green Book yesterday that I participated in. The ability to interact with the dashboard and say, tell me what I'm looking at here and have the AI assist with that. Helping us become better researchers because we can interact with the data. We can literally question and query the data to get new answers that we might not have asked originally. But hey, is there anything in this report that can help me with X, Y, Z? You know, is there any report where we've already done this work? You know, the legacy research, all of it is so exciting for us. So anyway, yeah, it was a big, big week of learning all around. But let's talk about some of these acquisitions, starting with these, because, you know, you and I have been talking now for a few weeks about different strategies, right? Mergers, acquisitions, partnerships. And there were a bunch of acquisitions this week . I don't know a lot of these details, but they are pointing to the direction of companies partnering with people with capabilities, understanding that now we have some table stakes. So anyway, so first one, I don't know if you know SMG, I do not, but we certainly know Bulbshare. So SMG, expanding their capabilities, partnering with and acquiring Bulbshare. So Bulbshare is an AI powered platform for real-time customer insights. They've been a contributor to Green for a while, a shout out to that team. What do you know about SMG? They were right. We were going to talk about them today.

Lenny Murphy: SMGs, they're actually a fairly large company, private equity backed and primarily focused on, well, experience management. A lot of, if I'm not mistaken, a lot of it in entertainment is a primary focus. And, you know, they're, they're a significant player in that arena. And yes, they're layering in, bringing in Bulbshare for, for real-time customer insights and for that AI. And there's an example, and this is actually, it's a really interesting observation, because this will affect everybody out there. Big companies have a hard time pivoting themselves. Right? There's just a lot And it's just a reflection of being big. So, and when you have such rapid change like this, the logical way for them to progress and say, oh crap, we gotta get on this, we gotta get on that horse too, is through acquisitions. So it creates a really interesting opportunity for some earlier companies like Bulbshare to scale rapidly with a much larger partner that creates a real win-win opportunity for, you know, some of these early-stage startups, they want to be the next unicorn, and some of them will. Some of them will, will stay the course, and they'll go down the VC path and, you know, and grow. Many others will be acquired through partnerships like this, because the big companies need them.

Karen Lynch: Yeah, the big companies need them. And one of the things that we talked about, I think, last week that came out of the AI intensive day was the client panel where they talked about they'd rather experiment with some new features with one of their trusted partners already. So if they have a trusted partner and that trusted partner happens to be AI forward, they're likely to give that a shot. My thinking, and I could be wrong, but if I were an AI company, I would be talking to my current clients to see what possibilities might be. How can they expand from a partnership into potentially an acquisition. I would be thinking about the existing, you trust us, you know us, hey, let's take you all the way. 100%.

Lenny Murphy: Yes. 100%. And that's going to be the theme. We've been seeing it. We're going to continue to see that as we head into next year there are really interesting partnerships, really interesting acquisitions. But it's about making the Reese's Cup, right? Yeah. It's their chocolate and peanut butter, combine them. And because there's so much opportunity now. Yeah, absolutely.

Karen Lynch: Let's jump to the Amplitude one since it's also AI specific. Amplitude acquiring Command AI to enhance their app engagement offerings. I don't know either of those companies. I think this one you pulled up or just within our feed.

Lenny Murphy: It was in the feed. I don't know much about them either. I thought what was interesting about that was now utilizing AI to increase engagement. Kind of a different application, of course, there's going to be data, that's why you want to increase engagement, right, conversion rates, yada, yada, yada. So I just thought that was a unique use, not unique, it's happening, but there was an example of an acquisition that was specifically leveraging an AI first company for a slightly different business issue to help create a better experience, you know, more engagement within apps. So we're just seeing this ripple effect of AI applications around lots of specific business issues that have to do with ultimately creating a better experience so you sell more stuff. Data supports that.

Karen Lynch: Yeah. Well, yeah. I think that you and I talked about an e-commerce company a couple of weeks ago where they were saying that AI is changing the way people are shopping online. So change it, certainly changing the way people might interact with an app, how they might use something like AI is changing all of that. And anyway, so, you know, I don't know, stall. Good times here. Good times. All right.

Lenny Murphy: Switching gears.

Karen Lynch: We'll take a, take a bit of a pause. Let's go to the Belindy acquiring UX tester recruitment firm Tandems. Do you, do you know, I mean, I mean, Belendi has been around for a long time, right? But I don't know anything about Tandems.

Lenny Murphy: Tandems is kind of a UX crowd, UX testing. So fundamentally, a UX-specific panel, for all intents and purposes, right? They may not use the terminology panel. I just think that that's a land and expand kind of consolidation component. Component, right? So offering more features, more capabilities on specific business issues, fundamental business building type of approach. I'm pretty sure that TANF is mobile-centric, so there's probably some synergies to be unlocked there as well. Yeah. So we'll continue to see that too, just business consolidation. Yeah.

Karen Lynch: Well, that's the next one, that land and expand concept, right? So Rui, who I know is near and dear to you in your work. So full disclosure, right?

Lenny Murphy: Let me- Full disclosure, I am a board member. Riwi is a public company and I am on the board. So I have to be careful of what I say on this because there are implications.

Karen Lynch: Yes, so therefore I shall introduce it for you. But Riwi acquired Theorem Reach and enhanced its capabilities right across trend tracking and MR. So what are you able to share? About that one. But I guess, you know, it's expansion. So it's an acquisition driving expansion.

Lenny Murphy: It is. So I mean, really is, you know, they built their business originally for a unique sample source, they're already it, which was, you know, intercepting random domain intercept technology, intercepting people randomly online, they were not penalized. They'd made some previous acquisitions. To have more programmatic sample theorems reaches a better quality programmatic approach. They're, they're building out their capabilities to, uh, to deliver more, uh, high, more high quality samples, uh, into the industry while also, you know, they, they acquired cool tools earlier in the year. So they have, you know, that stack of samples plus technology, um, and, uh, growing, growing that way. Uh, that's still, that's still fundamental to the industry. Um, uh, and they're taking advantage of the need for higher quality global samples. And that continues to be an issue.

Karen Lynch: Yeah, absolutely. Absolutely. That issue is not going anywhere, apparently. Apparently, it's just growing. So we might think we have it contained, but wait, there's more.

Lenny Murphy: I had hoped that for this call, our friend JD wrote a fantastic white paper that we got a preview of and hoped it would be out this week. It's not. It should be out next week, and we'll hopefully be able to present it. But everybody, pay attention, because, you know, J.D. Was COO at Scent, and he's talking about, in this paper, I don't think it gives away the meat, on where there's challenges in that ecosystem and where the opportunities are for growth. And he's a fantastic writer, very entertaining. That's coming. No link necessary, but it's a, because this topic is not, it's become more, it becomes more and more important, because of everything we just said, right? We're building, our industry is now a data industry, where the transformation process of being data driven, rather than, than project driven. And garbage in, garbage out.

Karen Lynch: Yeah, yeah. Yeah. And again, for those of you who are listening, like one of the one of the reasons why Lenny and I harp on certain topics is because it's sort of, we perceive it as our job here to point out the challenges that you should be addressing, point out the opportunities that you should be exploring.

Lenny Murphy: We're trying to help you.

Karen Lynch: Free advice, friends. Free advice.

Lenny Murphy: Help me help you.

Karen Lynch: Plus it's fun and sick to talk about. Anyway, all right. So acquisitions. So let's talk about this collaboration, because I don't know Capacity, the company Capacity, but Lucy and Capacity have united to lead AI innovation and boost business efficiency there. So what do you know about capacity and why this is a great partnership?

Lenny Murphy: So I think the capacity is more. Um, well, so Lucy's a knowledge management platform, but they were, they were AI before AI was cool. Right?

Karen Lynch: Yeah, exactly. Exactly. We were querying data in Lucy before anybody else was. And yes, you know, and it was confusing. Like, why are we, how, how is this even happening?

Lenny Murphy: What? Right. Right. I mean, interesting. Remember the first time seeing that I'm like, wait, I can a specific word used in a video and it goes right to it? What?

Karen Lynch: I know, crazy. It's really interesting.

Lenny Murphy: I think capacity is more kind of AI-centric enterprise technology. Maybe not knowledge management per se, but kind of enterprise infrastructure. Is my sense on them. And this was just reading the press release. But another Reese's Cup, right? They're complimentary to be able to expand capabilities, to be able to leverage information, utilizing AI tools that across the organization, unlock more efficiency and usability. So, you know, which we're all moving towards. I mean, even internally Green Book, right? We're not there quite yet, but we use Notion and this and that and Slack and blah, blah, blah. As I'm sure everybody, we have all these different technologies. There's gonna come a day pretty quickly where those things are either connected via some type of AI solution. There's some type of wraparound that allows us to unlock more value from all of the different components of information. This is the same thing.

Karen Lynch: Well, that was one of the topics in the Alita webinar yesterday. We were talking about the consolidation of tools, right? And how, you know, that's going to be something, I think they shared a stat that they had, which is like, the average company has like seven research tools in their repertoire. And, you know, like, really, wouldn't the goal be for all those end brands to have some consolidation, so they do not have to be kind of, you know, overextended moving forward, they would really like some of that consolidation. So agents will be helping with that. And then also, offerings will be helping with that. So yeah, good time to be alive, right? Really interesting. So lots of new product launches also this week. Again, these are all things that are just hitting the news this week. So I can't help but think about Lenny before we get into them about how a year ago we did not have this much going on in terms of launches and acquisitions. It was a very different world a year ago. It was.

Lenny Murphy: And even what we're about to talk about is just part of the things we saw this week.

Karen Lynch: Yeah, exactly. We don't see everything because, you know, oh, let me see if I can click on it.

Lenny Murphy: If it's not even just everything, this is just we couldn't cover everything. We wouldn't have time. This would be an hour and a half show. Yeah, yeah.

Karen Lynch: There we go. If you want us to see things, this is your guarantee. Is it right underneath me there? Yes, it is. This is the guarantee. Anyway, of course, I'm also playing with the technology, so enough. Let's move on. All right. Product launches. So add maple, you know, met, I met this woman at our, at our Europe event, and she's launched Sentiment Lab to compare how different AI models classify sentiment in text. I haven't played, I would like to play. This reminds me of whatever, what's the, what's the tool that you're using that kind of brings all the AI tools together?

Lenny Murphy: Max, Max AI.

Karen Lynch: So this, there's something about this where I'm like, oh, it's sort of Max for sentiment analysis. I think I like it, but I'm just guessing if that's what it is. So what do you think?

Lenny Murphy: No, it seems that way. Yes, Because all of them do some things better than others, right? And it's actually a really interesting point. It's tempting to think AI eclipses sentiment analysis, social media analytics, text analytics because oh it does all those things. Kind of I get that but the models are still a and we're still building the models. And in sentiment analysis, text analytics, social media, you know, analysis, they come away that it's done, is foundational to the, you know, the LLMs, right? I mean, we're really kind of, you know, it's like spokes on a wheel, right? I mean, there's lots of different components and models that feed into the LLMs, which are the hubs that help manage all of this stuff and put it together. So it's important to be able to still say, this gives me more depth. I like this model because it's based on blue chicks. Is that right? Whatever. Whatever the emotional effect models that you're going with, whatever it is, all of them do things differently. So I'm glad to see that we're still seeing companies like this that are not just focused on the wraparound, you want to focus on the fundamental components of, you know, this does this better. For the last week or two, I've been playing with GPT-01. Yeah.

Karen Lynch: That's all I use now, but yeah.

Lenny Murphy: Yeah. The, so, but it's ability to use numbers. Yeah. Right. So that's, that's far better, but actually from a writer standpoint, I still foreclose. I think Claude writes better. It's just a more readable, engaging type of content overall. So anyway.

Karen Lynch: Yeah. Yeah. You know, fun fact, Tim Lynch, my husband, who, you know, I shout out like more often than I should on the show, most likely, but he's, he's in change management. I know, I know. He's in change management, management consulting. And so he has been building some custom LLMs for some of customers to help with certain tasks, like very specific tasks. And we were talking a little bit about that this morning. You know, he's in academia and he's built an LLM to help with instructional design. So it's their own coursework, but it's all, you know, kind of being the LLM is being trained on their own coursework to help them develop, you know, different iterations of coursework that all the professors can offer. Like he's involved in that type of work as universities, which is, you know, he's largely involved in universities and the federal government, how they're all, you know, anyway, creating their own custom LLMs. Why do I say this? I say this because that's also next, right? So we may be using, you know, GPT or Claude or whatever, but we could also be, if we were those people, training those models on our specific use cases every day and creating our own so that it's not necessarily pulling from the world of information, but is very custom.

Lenny Murphy: Yes. And that is actually a fantastic point. But just for a second, because I heard earlier this week, the future is small language models, which are those custom trained solutions to address specific business issues. Yeah. Right. For our industry, that's huge. Hugely important, you guys are sitting on data, if you're Zappy, right, on creative testing, you know, that is a unique data set that's not as big as, you know, whatever, Google. But Google's not, Google doesn't have access to the data to be able to, you know, predict creativity impact like Zappy or System One or, you know, our friends at Cantor or whatever, right, any of the companies, I'm not trying to slight anyone, right? Everybody has the same opportunity to do that custom development.

Karen Lynch: Yeah. It's cool stuff.

Lenny Murphy: It is cool stuff.

Karen Lynch: Anyway, all right. Let's talk about something else they could explore. This Canvas AI unveiling, is it Asa, an AI research assistant? Yeah. There we go.

Lenny Murphy: Good segue. Our first potential agent.

Karen Lynch: They're offering a natural language interface for data analysis. They're doing it. I think everybody should check that out. I haven't gotten to it yet, Check that out, see what they're doing.

Lenny Murphy: Good friends at Canvas. We've partnered with them for years on Grit to do text analytics back in that day, right, for all the open events and amazing companies. And now that's that interface of just exploring the data in a conversational way, which is the next generation. And then they produce charts and graphs and all of that good stuff. Our friends at SMR, you may not like me saying this, but I'll say it anyway. Somebody asked me for some data on qual versus quant spend in the research industry. And then, it's like, I went to the Esomar report and I could dig for it and find it. And so I was like, I'm just gonna load the whole damn report up in chat GPT and ask the, what is the, please give me the breakdown of qualitative versus quantitative spend globally by country. There it was. It analyzed it and it gave me a chart or at least a table and broke it out. It took me more time to upload the report than it did to get the output that I needed.

Karen Lynch: I know. Yeah, it's cool. When speaking of Qual, Dovetail launched Dovetail 3.0, which is an AI-first customer insights hub. Streamlining qualitative data analysis. So, you know, variation on a theme, variation on a theme, this, you know, this, this data analysis assist, like foolishness keeps us from using the tools for that at this point, because it does, you know, because it's so we are able to work smarter, more efficient, period.

Lenny Murphy: For a long time listeners know, I was resisting, I was holding out and and, and now you, you, you convinced me, right? Yes, it is just so, and, I know, I don't, I will soapbox Hans for a second. For those of you that are concerned about this, it doesn't replace us. It empowers us, right? The example, that I just used on the ESMAR report. Did a fantastic job. Thank God for them putting that data together. It's a great report. I love it. But the efficiency for me to gain a data point. And then add to that contextually, right? My value was on what I think is driving that, and here's the means. That didn't, that wasn't, that didn't come from anywhere else. But that took a process that all told I could have spent an hour or two coming, combing and putting it together and using Excel and whatever, copying and pasting. That entire thing where I delivered value to you, I delivered the value. Right. With the context it took me 15 minutes. Right. Right. Oh, and that's opened up the door to do so much other stuff. And I feel that I don't know about you. My bandwidth is increasing.

Karen Lynch: I've been using it literally as soon as it became a possibility. I was like, Oh, absolutely. Because I needed all the help I could get.

Lenny Murphy: I go on record that you are far smarter than me.

Karen Lynch: So well, well, I also know, we are lead adopters of lead users of a lot of things, early adopters, lead users on a lot of things. I mean, you know, it's just our, you know, kind of personal preferences, my husband and I, I mean, we, you know, we got the ring doorbells up, we got, you know, before those became a thing, we got, you know, certainly had, you know, we're just, we just like the technology, we like experimenting with it very quickly. We are not cynics when it comes to this stuff, because it's just part of our, our values about embracing what's ahead. So I think it's more that I am very quick, and maybe some might say, all right, maybe settle down, rowdy dude, but I certainly enjoyed every minute of it. But for those of you who are still learning, there's these two reports I want to get at, and we're at 30 minutes already. Recollective, speaking of qualitative research, Recollective published a Mastering AI for Qualitative Research, a Guide for Integrating AI and Qual, that is a report that I although I'm not practicing qual that much right now, it's still something that all my QRCA friends should be, you know, taking advantage. So hats off to the team at Recollective. Always in my heart. Oh, Tim, just shared on YouTube. We are early adopters. So he's paying attention. I don't know how I thought he was on an airplane. I don't want to think about it. Literally, I think he's on an airplane.

Lenny Murphy: Tim Cynova He's an early adopter. Was it Starlink on the plane?

Karen Lynch: How is he on YouTube Live mid flight? I don't want to talk about it, Lenny. That's very stressful for me, but that's fine. Anyway, God bless Tim Lynch. And then also, there's another report that I think everybody should read. So it switches from the B2B space a bit. But Qualtrics published its 2025 Consumer Trends Report revealing, you know, some key, key thoughts about customer expectations and behaviors. And you read this report, it will certainly bring up some things that are on customers' minds when it comes to the customer experience. But for me, I would encourage people to look at this Qualtrics report and be thinking, do some of these trends play out in the B2B space?

Lenny Murphy: Because my gut tells me there are some things that are transferable. Now, that's not what this report is. This is customer trends. But some of these customers are B2B, right, perhaps, and some of the behaviors. So anyway. 23,000 people in this respondent pool. I just think it's cool. And, you know, one of them that I had hoped we had had more time to talk about was feedback falling to a new low. And I think that's very interesting for anybody who is in the business of feedback, getting feedback, customer experience, customer satisfaction, whatever, you know, feedback is falling to a new low. So I would download this report, check that out, because yeah, because I just think that's interesting. So anyway. There's a whole lot that we didn't cover. I mean, there's so much we didn't cover. There's so much. Maybe Karley, maybe for next week's newsletter, we can have things we didn't cover, because there were some cool things. Yeah, she and I can talk about that. Maybe there's a way to share some of the stuff we didn't talk about. But I am going to shout out publicly, Tim's post on YouTube says, being at 36,000 feet is not an excuse to miss the exchange. So first of all, that's why I pay you the big bucks, Tim Lynch. Thank you for showing up for me from wherever you are. Thank you for making all of us husbands look bad, Tim. All right. Thank God Danielle does not watch the show. But shout out to my beautiful wife. There you go. There you go. Doesn't listen to the exchange because she has to hear this crap from me. All right. On that note. On that note. All right. Have a great weekend and we'll see you soon. Lenny, take care. You too. Bye everybody. Bye. Oh, that's

Links from the episode:

SMG expands experience management capabilities by acquiring Bulbshare 

Amplitude acquires Command AI 

Bilendi acquires UX tester recruitment firm Tandemz 

RIWI Corp acquires TheoremReach Inc. 

Lucy and Capacity unite to lead AI innovation and boost business efficiency 

AddMaple launches Sentiment Lab

Canvs AI unveils Asa

Dovetail launches Dovetail 3.0 

Qualtrics releases its 2025 Consumer Trends Report 

Recollective publishes “Mastering AI for Qual Research”