It's not just my two new additions, who are only 3 days old $KURA (+0,11 %) but $GENB have gotten off to a good start. The one I introduced and bought here a week ago $CAI (-0,35 %) is performing exceptionally well, up 27% in a week. I plan to add to my position here even on weaker days—which are sure to come—since I fully expect triple-digit prices over the medium term, looking ahead 3–4 years.
Generate Biomedicines, Inc.
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3Great start!
Keep an eye on the new value!
Today I’d like to introduce you to a new stock that I’m about to buy. It combines AI and biotechnology. The company is $CAI (-0,35 %) .
This Texas-based company is not a traditional diagnostics play. Caris Life Sciences is vertically integrated and covers the entire spectrum within a “precision oncology system.” The process often begins with the patient submitting a tissue or blood sample. The company then has the necessary tools to begin profiling. This can cover more than 23,000 genes and is designed not only to detect individual mutations but also to provide insights into gene activity, gene fusions, mutation patterns, and protein expression. An important component of this early diagnostic process is the Caris Assure tool. This is an advanced, blood-based liquid biopsy test from Caris Life Sciences. It can analyze circulating DNA and RNA as well as white blood cells from a single blood sample taken from the patient. Caris Life Sciences can then translate the data obtained into reliable, clinically interpretable results. To do this, the company uses the Caris Molecular Intelligence platform as well as AI and machine learning models. In short: This tech-bio company is at the cutting edge of technology and can thus quickly and accurately provide important information about the patient. But why is this so important? The results can be used to define the characteristics of the tumor and, in turn, determine the most appropriate treatment. In addition, Caris Life Sciences can help identify the right clinical trial for the patient. In other words: Caris Life Sciences acts as an interface between the patient and pharmaceutical and biotech companies, as well as physicians, who also rely on the correct patient selection for their respective clinical trials (see chart at the bottom of page 3). The Caris GPSai tool demonstrates just how precisely Caris Life Sciences can now perform analyses in oncology. The acronym stands for “Genomic Probability Score AI” and is an AI-powered method that assesses which organ or tissue the tumor originated from. For example, a tumor is found in the lung—but using Caris GPSai, it is determined that it is a metastasis from another primary tumor. A Vast Treasure Trove of Data With each additional tumor analysis, Caris Life Sciences can generate more data. In the long term, the clinical-molecular data platform could turn out to be one of the company’s most important (hidden) assets. Caris Life Sciences itself refers to its data and IT architecture as “Caris CODEai.” This links molecular information with clinical outcomes. The U.S.-based company now has access to more than one million molecular tumor profiles as well as more than 740,000 associated clinical treatment outcomes. This vast treasure trove of data helps make the analyses even more precise and also assists the company in developing new products.
Multi-Cancer Test with Huge Potential
Speaking of products: Caris Life Sciences announced the launch of “Caris Detect” in early July. The blood test for the early detection of various types of cancer offers plenty of additional sales potential for the company, which went public on the Nasdaq under the ticker symbol “CAI” just last June. In the long term, Caris Detect could position itself as a general replacement for already established screening procedures (such as a colonoscopy or gastroscopy). Caris Life Sciences plans to conduct further studies to strengthen the clinical evidence for this innovative early-detection cancer test and even expand its potential applications.
With Caris Detect, the tech-bio company is also relying on its steadily growing database. More than one million cases and over 50 billion molecular markers form the foundation. Here, too, Caris Life Sciences harnesses the power of AI. MRD Tests as an Opportunity. Solutions for detecting minimal residual disease (MRD) are also set to become an important part of Caris Life Sciences’ product portfolio in the future. With Caris Assure, the company already has a blood test for treatment selection in its product portfolio. The MRD application is currently in the validation and launch phases, and commercialization could begin in the second half of 2026. An MRD test can identify minute amounts of cancer cells or tumor DNA or RNA that may still be present in the body after treatment, such as surgery or chemotherapy. This information can then be used to determine further treatment and assess the potential risk of relapse. MRD tests are rapidly gaining traction: The largest competitor in this field is Natera. In the second quarter, the company performed 283,000 MRD tests (769,000 in 2025). Across all products, Natera analyzed over one million tests during the reporting period, recording a 22 percent increase compared to the same period last year and generating total revenue of $753 million in Q2. Caris’ competitor now has a market capitalization of a whopping $46 billion and is not yet profitable. In contrast, Caris Life Sciences has a market capitalization of approximately $6.6 billion. In other words, Natera is currently valued at roughly seven times the market capitalization of its smaller competitor. This discrepancy could narrow in the medium to long term. I believe Caris Life Sciences is capable of reaching a market capitalization of $33 billion by the end of the decade (a valuation discount of just over a quarter compared to Natera’s current market capitalization). This translates to a price appreciation potential of a whopping 400 percent.
Strong Growth Caris Life Sciences is clearly following in Natera’s footsteps. The second-quarter figures released a few days ago
impressively demonstrated this. Between April and June, consolidated revenue rose by a solid 45 percent to $263.7 million. That corresponds to about 35 percent of Natera’s Q2 revenue. However, Caris Life Sciences’ market capitalization is just under 15 percent of Natera’s market capitalization. This alone highlights an enormous valuation gap between the two companies. Caris Life Sciences processed 59,200 clinical cases in the second quarter, representing an 18 percent increase compared to the same period last year. EBITDA amounted to $55.7 million, and the bottom line showed a net loss of just $0.6 million. Caris Life Sciences is expected to move into the black in the current third quarter as well. David Dean Halbert, founder and CEO of Caris Life Sciences, expressed great satisfaction with the quarter: “This was a record quarter with approximately 59,200 clinical cases, representing an increase of more than 12 percent compared to the previous quarter and reflecting continued demand as well as the fruits of our investments in our sales structure,” said the CEO. “Our comprehensive approach gives every case true molecular depth—backed by more than 1.13 million patients whose data was used to train our AI. This depth is the driving force behind Caris Detect. And Detect isn’t limited to early cancer detection: With the help of our so-called ‘Mutational Cleanse,’ we aim to convert an early signal into personalized immune targets, thereby making the transition from early detection to early defense. Ultimately, it all comes down to one thing: making precision medicine a reality for every patient,” said Halbert.
Druckenmiller on Board
This growth story—which will soon become sustainably profitable—is also resonating well with investors. At the time of the IPO, the offering price was set at $21, after an initial target range of $16 to $18. The stock surged by as much as 30 percent on its first day of trading. In the weeks that followed, the stock of this 2025-founded newcomer even rose to over $40 at times.
However, this year the stock was temporarily pushed below $15. In the first quarter, star investor Stanley Druckenmiller, among others, took the opportunity through his Duquesne Family Office to acquire a multi-million-dollar stake. Druckenmiller is likely looking at Caris Life Sciences’ stock price with renewed optimism: The stock is now trading well above the $22 mark again. The recent massive jump in the stock price was triggered by strong second-quarter figures and equally strong results from major competitor Natera. More and more market participants—including U.S. investment icon Druckenmiller—seem to be noticing the valuation gap between Natera and Caris Life Sciences. Not to mention the enormous growth potential offered by the diagnostics market in the field of precision oncology.
With the recent rally, Caris Life Sciences’ stock has not only broken away from its lows but has also broken through the 50- and 200-day moving averages from below. After a brief pause, the tech-bio stock should soon be heading toward its 52-week high. In the medium to long term, the stock has clear potential to multiply in value. Natera has demonstrated (+1,700% since its 2015 IPO) what a revaluation could look like. Speculative investors are now getting an early foothold and building out their positions around the $20 level. A stop just below the record low of 12.00 euros protects the position from significant downside losses.
EBITDA is expected to rise from $138 million to $456 million between 2026 and 2029, while revenue is projected to nearly double.
Note: Some of this information comes from a paid stock report, which I obviously cannot link to here. And of course, this is not investment advice, nor is it a solicitation to buy.

An interesting approach?
In any case, this is definitely thin ice! Anything is possible—from a 100-bagger to a total loss. You’ll need a lot of patience and nerves of steel. But if this new approach to drug development catches on, $GENB it has the potential to be a 100-bagger.
By the way, this isn’t all my own idea. It comes from a very comprehensive stock report. But since I certainly don’t want to bore you here, I’ll just outline the most important points.
Not the next drug. But a new way of developing drugs. Most biotechnology companies pursue a clear goal: They develop one or more drug candidates that, following successful clinical trials, are to be approved and subsequently marketed. Economic success often depends on just a few drugs. If a clinical trial fails, the entire company often loses a significant portion of its value. $GENB Biomedicines takes a fundamentally different approach. The company doesn’t just develop new drugs. It’s working on a technology platform that could transform the drug development process itself. In my view, this is precisely where the real incentive for an investment lies. While most biotechnology companies try to increase the likelihood of clinical success, Generate Biomedicines pursues a significantly more ambitious goal: The company aims to specifically design biological molecules in the future, rather than discovering them exclusively through traditional research processes. Should this approach prove successful, it would not only change the development of individual drugs; it could revolutionize the way a significant portion of biological therapeutics are created in the future.
Why Generate Biomedicines is more reminiscent of Nvidia than of a traditional biotech company!
Many of the most successful companies of the past decades had one thing in common: They didn’t just develop an outstanding product—they created platforms!
Of course, it would be presumptuous to equate Generate Biomedicines with that company today. Yet the underlying idea shows remarkable parallels. Generate Biomedicines, too, is not developing a single technology for a single product. The company is building a platform designed to continuously generate new biological molecules in the future. With every new dataset, every experiment, and every successfully developed protein, it’s not just a single active ingredient that improves. Ideally, the entire platform learns and expands its capabilities. It is precisely this scalability that distinguishes platform companies from traditional product companies.
A Solid Balance Sheet Despite High Investments
Despite high research expenses, Generate has a remarkably solid balance sheet. Following its initial public offering, Generate Biomedicines had approximately $517 million in cash and short-term marketable securities as of March 31, 2026. This provides the company with a substantial financial buffer for the further development of its platform and pipeline. A solid capital base is particularly important for young biotechnology companies. The development of new drugs requires long research cycles and high investments before the first significant revenues are generated. A comfortable liquidity buffer therefore gives management valuable time to further develop the platform without facing short-term financing pressure.
Long-Term Anchor Investors
At least as interesting as the balance sheet is the quality of the shareholders. Generate Biomedicines was founded by Flagship Pioneering, one of the world’s most successful company builders in the biotechnology sector. Flagship played a key role in building Moderna and has, for many years, pursued a strategy of identifying scientific platform technologies at an early stage and developing them over the long term.
According to Morningstar, the largest fund investors include Capital Group (CollegeAmerica Smallcap World 529A), T. Rowe Price Health Sciences, and JPMorgan Small Cap Growth are among the largest fund investors. Also particularly noteworthy is the involvement of Nvidia’s venture capital arm, NVentures, as one of the later investors in 2023. Less important than the size of the investment is the strategic signal it sends. Nvidia CEO Jensen Huang has been emphasizing for years that the most profound impact of artificial intelligence is expected to be in the life sciences in the future. The investment thus fits perfectly with the long-term vision of $GENB
A Machine for Developing New Drugs
Most biotechnology companies begin their research with a medical problem and then search for a suitable active ingredient. Generate Biomedicines takes the opposite approach. The company first develops a technology platform capable of designing new biological molecules. Only then does it generate concrete drug candidates. To put it simply: The pipeline delivers the products—the platform is the factory. It is precisely this factory that is at the heart of the company. It consists of several closely interlinked technologies that continuously improve one another.
Chroma:
The heart of the platform!
At its core is the AI model Chroma. Just as modern language models learn from billions of words, Chroma has been trained on vast amounts of biological information. The goal is to understand the “language of proteins” and use it to develop entirely new molecules that possess specific biological properties. In doing so, Chroma does not copy existing proteins. The platform designs new protein structures that do not necessarily occur in nature. Every protein has a unique three-dimensional structure. Even the smallest changes can determine whether a molecule is therapeutically effective or not. Generate therefore uses modern AI models to predict how newly designed proteins will fold spatially and what biological properties might result from this. This allows many unsuitable candidates to be digitally weeded out before they are even produced in the lab. Cryo-electron microscopy (cryo-EM) Digital predictions alone, however, are not enough. That is why Generate subsequently tests the designed molecules experimentally. Cryo-electron microscopy (cryo-EM) plays a key role in this process. This state-of-the-art technology makes it possible to visualize proteins with near-atomic precision. This allows researchers to determine whether the actual structure matches the digital design. Every experiment yields new insights.
And it is precisely this data that feeds back into the AI models. The longer the platform operates, the greater its body of knowledge becomes. Every successfully developed protein expands the database. Every laboratory analysis improves the prediction models. Every new experiment deepens our understanding of biological relationships. A self-reinforcing cycle emerges: More data leads to better models; better models enable more precise protein designs; and new proteins, in turn, provide additional data. It is precisely this ability to learn that makes the platform so interesting. With each development cycle, not only does the pipeline grow, but ideally, so does the performance of the entire technology.
The Pipeline
Of course, Generate Biomedicines is already developing its own drug candidates today. The current pipeline includes programs in several therapeutic areas, including:
• Immunology
• Oncology (cancer)
• Infectious diseases
• Other biological therapeutic approaches.
Each of these programs addresses a significant unmet medical need and, in its own right, possesses considerable commercial potential. From the perspective of traditional biotechnology analysis, these drug candidates are the main focus.
There is another perspective to consider. Should the technology prove successful, every successful development program would be far more than just an additional drug candidate. It would also serve as further proof that the platform works. And this is precisely where the key difference lies compared to traditional biotechnology companies, where a single drug often determines the company’s success. At Generate Biomedicines, the platform itself could become the actual asset in the long term.
Grand visions bring great uncertainties
Generate Biomedicines is pursuing one of the most ambitious visions in modern biotechnology, and therein lies its greatest risk. After all, no one can predict with certainty today whether the approach of programmable biology will actually gain traction on an industrial scale. Therefore, Generate Biomedicines should not be viewed as a traditional investment, but rather as a long-term bet on a potentially disruptive technology. From the perspective of a long-term investor, the following risks appear particularly significant:
1. Scientific Risk
The platform must first prove that it not only works in theory but can also consistently produce clinically successful drugs. Many years of intensive research often lie between a promising protein design and an approved therapy.
2. Clinical risk
Like any biotechnology company, Generate is subject to the usual risks associated with clinical trials. Individual programs may fail, trials may be delayed, or regulatory agencies may require additional data. In the short term, the stock price is therefore likely to continue reacting significantly to trial results.
3. Financing risk
Generate is still in an early stage of its development. The company is deliberately investing substantial resources in research and development and is not yet generating sustainable profits. Although Generate has a solid liquidity base following its initial public offering and virtually no long-term financial liabilities, further capital measures may be necessary in the event of a prolonged development phase.
4. Competitive Risk
Generate operates in one of the world’s most dynamic fields of research. Major pharmaceutical companies are investing billions in artificial intelligence. Other startups are developing comparable platforms. Technology conglomerates may also increase their investments in the field of generative biology in the future. The technological lead must therefore be continuously defended.
So, that’s it for now. It ended up being a bit longer than expected. I find it exciting and know there’s a lot of risk involved. But to pick up a few shares over the long term, I’m going to approach this with a small savings plan. It won’t work that way with most brokers, but it’s possible with Trading 212.
Wishing you all a fantastic weekend!
Your Multibagger Chris
Since I come from that field myself: currently, about 90 percent of all drugs and other treatments in development do NOT make it to market. That’s such an extreme percentage that it’s hard to imagine how many billions of dollars are being wasted in the process. That’s massive potential for cost savings. And when you consider what that would mean for a company in practice—I don’t think a 100-bagger is an understatement at all.
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