2 years of integrated AI driving real-world research innovation
Editor's note: This article is an automated speech-to-text transcription, edited lightly for clarity. For the full session, please watch the recording.
quantilope’s AI aisstant, Quinn, recently celebrated its two-year anniversary with a new version. In this 2026 Quirk’s Virtual – AI & Innovation session, hear from two quantilope’s team members on the evolution of research innovation driven by AI.
Jannik Meyners, Ph.D., senior director of data science and Beatrice Capestany, Ph.D. senior global director, solutions consulting at quantilope share insight from their front row seats of AI’s revolutionary power.
Session transcript
Joe Rydholm
Hi everybody and welcome to our session, “2 years of integrated AI driving real-world research innovation.”
I'm Quirk's Editor, Joe Rydholm. And before we get started, let's quickly go over the ways you can participate in today's discussion.
You can use the chat tab to interact with other attendees during the session, and you can use the Q&A tab to submit questions for the speakers during this session. And we'll answer as many questions as we have time for during the Q&A portion at the end.
Our session today is presented by quantilope. Jannik, take it away!
Jannik Meyners
Thanks for the intro, Joe.
Hi everybody. Welcome from our side and thanks for joining this session. We hope you are as excited as we are about this upcoming session in which we share how integrated AI can make your research process faster and simpler, and maybe even more creative and more fun.
So, in a hands-on live demo, we are going to show how we at quantilope make actionable use of gen AI, share some lessons we've learned from integrating AI into our platform over the past years, how to best work with AI, what helps most and what's required to use it successfully.
For those not familiar with us, quantilope is an end-to-end full-stack consumer insights platform. We are very proud that last year we were again ranked the number one research technology by Greenbook for second year in a row. Our platform offers the largest suite of automated advanced methods and innovating tracking technology all embedded with end-to-end AI integration and assistance.
Before we dive into today's topic, let me quickly introduce ourselves. I'm joined today by my colleague Bea who leads our global solutions consulting team at quantilope. She's our very own expert on turning AI into insights practice in a researcher's daily work.
As for myself, I'm Jannik leading our product development around advanced research methods, machine learning and AI. Including the continuous development of our AI agent Quinn, which we are going to demo today.
So, throughout my career, my passion has always been making seemingly complex analytics widely and easily available regardless of experience levels. And that's exactly what we are pursuing with our research platform at quantilope and with Quinn in particular.
Speaking of Quinn, Quinn is our own developed AI agent for consumer insights and fully embedded into our research platform. It's your partner along the research process and we are proud and happy that last month Quinn celebrated its second anniversary with us. Bea is going to show you in a second how working with Quinn looks and feels.
But before that I'd like to briefly share a bit of background and how Quinn works and how it has developed over the past two years.
The goal we wanted to achieve with Quinn was always clear, how can we make advanced consumer research faster, simpler, and more accessible regardless of experience levels
With that in mind, it was also obvious that we couldn't achieve this by sacrificing quality. We are all researchers in this room, and we know data quality and the quality of our insights is sacred.
So, one of the first important design decisions we made and what still holds today is that we built Quinn and the whole AI assistance on top of all the sound and validated methods and data analysis not as a replacement for them. I think everyone in this virtual room who has ever run statistical analysis using language models like GPT or Gemini can probably relate to how little you can actually rely on the output. It's not their fault, but these tools are natively built for math or complex stats.
So, what you need is this solid foundation of validated methods, quality checked analysis, all that stuff, then you bring in AI on top. And by doing this you can actually get the best of both worlds like combining robust analytics and data analysis with gen AI's ability to communicate, to be creative and to synthesize information.
This fundamental principle hasn't changed and by following it we were able to integrate Quinn fully into our end-to-end platform using what we already have instead of reinventing the wheel.
So, by this, Quinn has developed from a very focused task oriented with task-oriented features. Like let's say summarizing a chart to next step then was a very helpful but still limited chat-based copilot performing, say one task at a time. So, still providing a lot of assistance and guidance to users but limited to one task.
I said Quinn celebrated its second anniversary. And with that we actually also introduced a new version of Quinn, which is more like a really complex agenda system serving as a true research partner performing complex workflows autonomously.
This evolution mainly happened because clients told us along the way what they loved, what they missed with Quinn. And this co-creation with our clients together has been incredibly helpful for us and honestly also a lot of fun to build Quinn that way.
So, while I can't wait to see how our clients use our newest version of Quinn and where Quinn goes from here, let's dive in and see what Quinn can do today.
Over to you, Bea.
Beatrice Capestany
Thank you, Jannik
As Jannik said, I am Bea. I lead our solutions consulting team here at quantilope. My job is really to translate business needs into effective research solutions. And so, I have actually had the pleasure of having a front row seat to watch AI transform how we work over the past six years, especially here at quantilope. We are super excited to show you, in a moment, how integrated AI actually looks in practice.
This is not hype, this is not theory, this is actually not going to be slides or anything like that. This is going to be a live demo. It is the real evolution that we have seen, and I really want to make it clear what this means for you and how you can spend your time.
So, before I share my screen with the demo, I want to talk about the shift that we have seen.