Carlos Martínez: "Our goal is to understand our customers' needs and strive to meet them in the best possible way."
The CEO of Dreamgenics discusses innovation and biotechnology in an interview with Radio Intereconomía during Transfiere 2026.
How are you, Carlos? Good morning. First of all, before we ask how the trade show went, tell us a little bit about yourself: what do you do at Dreamgenics, and what was the company’s founding mission?
Dreamgenics was founded in December 2011, but I took over as CEO in January 2020. Initially, we focused on NGS data analysis. When you conduct a genetic test—for example, to determine whether a person has a genetic or hereditary condition—you need to draw blood from that person, extract the DNA, and sequence it, which essentially involves reading the information contained in the DNA. The data is then analyzed using bioinformatics, and geneticists interpret the genetic variations based on the patient’s clinical presentation.
That intermediate stage of data analysis is what Dreamgenics originally did. It had research-level tools, as many spin-offs do, and Dreamgenics was founded in December 2011. When I joined in 2020, we set out to diversify our services because, of the entire process, Dreamgenics was only handling the second of the three parts.
I joined to get the lab operations up and running—that was the first step—and once the COVID situation allowed us to move forward, since the COVID crisis began in March, it wasn’t until 2022 that we hired geneticists and started offering the full range of services, which is what we do now. We have three business lines: the main one, which is genetic testing, where we receive samples in our lab and handle the entire process until our geneticists issue the report—usually to doctors or individual patients—and the second part, which is the core of the company and where we really excel, is bioinformatics analysis, and as I mentioned, that’s where the company originated. And on the other hand, the first stage—sequencing, which involves reading the DNA—complements these three business lines.
Throughout this entire process and the company’s journey since 2011, as you were telling us, why is it important to be at an event like Transfiere, here in Málaga?
First, we identified the participants and research institutes that were of most interest to us, with the aim of building relationships with them and establishing agreements that would support researchers—not so much on an individual researcher-to-researcher basis, but rather at the institutional level.
For example, we have the Spanish National Research Council there, and we have several research institutes with which we’d like to collaborate more comprehensively, because often when our sales team visits these institutions, we find that there’s a lack of the services we offer—but on a broader scale across the institutes. We often hear that they have a sequencing or bioinformatics unit, and when we visit those units, either there is no one actually providing that service, or there is a backlog or a lack of technical expertise. So the idea behind participating here is to offer our services in a more comprehensive way to all these institutes.
And from your industry’s perspective, what are the main challenges you face here in our country, for example? Then we’ll look beyond our borders. AndIn 2026, what challenges do you face?
That question would take a long time to answer, but to summarize, from my perspective—having completed a fellowship in clinical laboratory science and worked in a hospital—I believe the main problem with genetics is that hospitals need to understand the importance of this data for properly treating patients, which is what’s known as precision medicine. Often, you may have a patient with certain symptoms, but if you don’t perform the appropriate tests, you won’t identify the root of the problem and will end up treating a disease without truly knowing its cause.
Ultimately, that’s just putting a Band-Aid on the problem without knowing the cause. The issues are mainly related to acceptance; medically speaking, they’re very reluctant because genetic test results aren’t like a blood test showing a cholesterol level of 225—which is above 200, so it’s high, and I’ll prescribe atorvastatin, etc. In genetics, the results are often inconclusive. Let me give you a fact to help you understand: of the 22,000 genes we humans have, only a third—6,000 to 7,000—are currently known to be linked to disease. That means there are 15,000 genes that, even with all the technology and knowledge we have today, remain unknown. So, many doctors are reluctant to order a genetic test because they know it might not be conclusive. What do I tell the patient? What do I do with this? I believe that, in terms of challenges, this is the one we face in Spain—and not just in Spain, but worldwide—in the field of the genomic market.
And then there’s also the issue of funding, which is usually one of the weakest links and the area where the sector has the most demands in terms of research. I’m not sure if you have the opportunity here to discuss public-private partnerships, which is what the sector is calling for most of all.
Yes, when it comes to funding, I’ll tell you that, from our perspective, in most public-private partnership programs, the biggest problem—and I’m speaking from a personal standpoint—is that corporate funding comes in the form of loans rather than grants. So, when research groups come to us with a proposal, I always have to give the same response. That while it may seem interesting to me from a scientific standpoint, it isn’t from a business perspective, because I can’t commit to an investment that won’t yield a return. You have to understand that the company operates the way it does; we have the objectives we have. So it is true—and we were just discussing this with Cristina Fanjul, the director of CEEI in Asturias—that there is a need, in my opinion, to assess that if we want business involvement, we need to rethink how these programs are being designed.
Looking ahead to this year and the years to come, we were talking about challenges, but could you tell us a bit about the projects you have in mind—ones that we can understand to some extent? I realize that your industry is a bit complex for our audience, and making it accessible is more difficult than in other fields where the practical applications are easier to grasp. But what projects do you have planned for this year and the years ahead?
For our part, the goal for a company like ours is always to understand the client’s needs and, based on that, try to meet those needs in the best possible way. Right now, over the past year, we’ve made a significant investment to bring our sequencing service in-house because different clients have different needs, and it would mean getting into, as you say, details that the audience might not understand, but, basically, it’s about trying to meet all those needs, which are very complex from a technological standpoint and require a lot of specialized staff—and that’s exactly what we have, since 80% of the Dreamgenics team consists of highly trained professionals. And with that, we try to meet those needs, always understanding that we have to do so in a balanced way, because, ultimately, you have to assess what the market needs are and which ones you can address in the short, medium, and long term.
And finally, regarding artificial intelligence in recent years—in terms of R&D, technology, and so on—we’ve been talking about it for a long time. In your field, specifically at Dreamgenics, does it make your work easier? Have you noticed any changes as a result of the development of artificial intelligence in recent years?
Let me give you a very clear example: when geneticists need to identify a specific genetic variant in a patient, until now they would conduct a literature search and spend hours and hours looking for that variant in databases, published articles, and so on. Now, of course, you still have to review everything—the AI tools themselves tell you to double-check the results they provide, and in the healthcare sector, that’s doubly important—but it’s true that it makes your work much easier. You can ask, “Hey, this genetic variant has been identified in this gene—how do you link it, or what scientific evidence is associated with these conditions?” And in just a few seconds, they perform a literature review, search databases, etc., which allows you to work more quickly and optimize your time. So I’d say that’s a very valuable contribution of artificial intelligence to our sector.


